“Time in the market beats timing in the market.” – Kenneth Fisher

There are two primary approaches to investing in the stock market. Some market participants adopt a trading-oriented strategy; they believe that financial gains depend on their ability to predict the evolution of the market (when to enter and when to exit), or in other words, they try to time the market. Other market participants favor a long-term investment approach: they expect their investments to compound over 10 or 20 years, by spending as much time in the market.

Time in the market vs. timing the market is a classic debate in the investment world. Kenneth Fisher had a very strong opinion on this debate. To him, “Time in the market beats timing the market”. The duration on an investment (the time in the market) is a significantly better factor of success for your investments that the quality of your attempts to optimize entry and exit points (timing the market).

For the vast majority of market participants, the effort to outmaneuver daily fluctuations is not just difficult, but a statistically losing game.

Hadrien PUCHE

In this article, Hadrien PUCHE (ESSEC, Grande École Program, Master in Management, 2023-2027) explores the behavioral and financial foundations of Fisher’s principle, analyzing why the “cost of being out” can often exceed the risks of staying in through market cycles.

About Kenneth Fisher and the quote

Kenneth Fisher

Source: Fisher Investments

Kenneth Fisher is a billionaire investment analyst, who founded Fisher Investments. He also is a long-time columnist for Forbes. He is well known for his contributions to investment theory, particularly in popularizing the use of the Price-to-Sales ratio. Throughout his career, Fisher has been a vocal critic of the “market timing” fallacy, arguing that most investors hurt their returns by trying to avoid downturns.

This quotes originates from a 2018 USA Today article where Kenneth Fisher wrote :

“Even the greatest investors are wrong maybe a third of the time. But here’s some good news: You don’t need perfect timing to achieve marvelous returns. Time in the market beats timing the market – almost always.”

Analysis of the quote

The fundamental question every investor face is: How to invest? While the allure of “buying low and selling high” sounds simple, executing it consistently is nearly impossible. Fisher’s quote highlights that the market is not a puzzle to be solved daily, but a vehicle to be ridden over years.

“Timing the market” requires two perfect decisions: knowing exactly when to get out and exactly when to get back in. “Time in the market,” conversely, requires only one decision: to start. By staying invested, you capture the total return of the market, including dividends and the recovery phases that follow volatility. Fisher’s principle suggests that the “missed opportunity” of being on the sidelines is the greatest risk of all.

Furthermore, Fisher’s insight also implies that an investment’s duration is very often more important than the yield. Too many investors are obsessed over finding the best “alpha” (a few extra percentage points of return) but forget about duration. A moderate return sustained over decades will always outperform a spectacular return that gets interrupted all the time.

Similarly, another thing to consider is the heavy “cost of inaction” that comes with searching for the perfect entry point. By waiting for the ideal market conditions or trying to identify the absolute best opportunities, you are losing time (and therefore compounding); a cost that is rarely justified by the improved entry point.

Three Financial Concepts Linked to the Quote

We now introduce three financial concepts that are related to this quote, and that you may find useful to understand the mechanics behind Fisher’s principle: the long-term drivers of the market growth, the danger of missing the “Best Days”, and the Dollar Cost Averaging (DCA) to find a good compromise between timing and time.

The long-term drivers of the market growth

To understand why “time in the market” works, we have to look at what actually drives the market’s long-term upward trajectory. Unlike a casino, the stock market is a vehicle for productive capital, and its growth is fueled by fundamental economic forces:

  • GDP Growth & Corporate Earnings: As the global economy expands and companies become more efficient, they generate higher profits. Over decades, stock prices tend to track this fundamental growth in value.
  • Inflation: Since stocks represent ownership in real assets and businesses, they act as a natural hedge. As prices for goods and services rise, nominal corporate revenues and asset values follow suit.
  • The Equity Risk Premium: This is the “extra” return investors demand for choosing stocks over “risk-free” assets like government bonds. To earn this premium, you simply have to be present.

By staying in the market, you aren’t just “hoping” for a rise; you are capturing the compounding effect of global productivity and inflation.

The danger of missing the “Best Days”

When it comes to the statistical distribution of the market returns, it is important to understand that it is highly skewed, with the bulk of annual gains often concentrated in a handful of trading sessions. This concentration creates a massive “cost of being out” for any investor that happens to miss such days.

The figure below shows the distribution of the returns on the S&P 500 index compared to the estimated normal distribution. What matters here is that the S&P500 distribution has much fatter tails than the normal ones; meaning that very high and very low returns happen more than one would expect with a normal distribution.

Figure 1. Distribution of the returns on the S&P 500 index
Distribution of markets returns for the S&P500
Source: Seeking Alpha

The issue with these fatter tails is that missing a small number of high-returns days can be catastrophic for an investor’s terminal wealth. Historically, missing just the 10 best days in a decade is enough to cut an investor’s total return by half, and missing the best 30 days end can turn the returns negative, even in a bull market.

The paradox of the “Time in the Market” is that these “best days” usually occur within weeks or days of the “worst days.” By trying to avoid the worst days, many also miss the best days, and this is where the true opportunity cost lies. The only proven way to make sure that you are present for the best days is to stay invested through the worst ones

DCA: The Compromise Between Timing and Time

Let’s say you have €10,000 today, and you want to invest them in the market. You do not want to “time the market” and want instead to spend “time in the market”. However, you are facing the “entry dilemma”: should you go all-in now or wait for a better price in a few days?

Going all-in (Lump Sum investing) means immediate exposure, but it can make many investors uncomfortable. To make it easier and more manageable, many investors choose to rather do a Dollar Cost Averaging (DCA): investing their money progressively at set intervals (monthly, weekly, etc.).

The DCA approach is psychologically attractive, because it removes the paralysis that comes with the fear of “buying the top.” If the market drops the day after your first investment, you actually benefit by buying the next “tranche” at a lower price. However, financial literature suggests a different reality.

Most academic research, including the study by Brennan, Li, and Torous (2005), argues that Lump Sum investing outperforms DCA roughly 75% of the time. This is because markets have a positive “expected return” (they go up more often than they go down). By holding cash on the sidelines to “average in,” you are essentially betting against the market’s natural upward trajectory.

Brennan’s core argument is that “Dollar-Cost Averaging just means taking risk later.” By choosing DCA, you aren’t avoiding market risk; you are simply delaying your full participation in the market’s growth. The “cost” of this delay is often higher than the benefit of potentially catching a lower entry price.

So why do so many professionals still recommend DCA?

The choice is ultimately a psychological one. While a Lump Sum is mathematically superior, it carries a high “regret risk.” If an investor puts €10,000 in on Monday and the market crashes on Tuesday, they might panic and sell everything, violating Fisher’s principle of staying in the market. DCA acts as a behavioral bridge: it may yield slightly lower returns on average, but it ensures the investor actually stays the course.

Ultimately, the “best” strategy is the one that prevents you from exiting the market prematurely. How much stress do you feel at the idea of a short-term loss? If that stress leads to bad decisions, the “insurance” provided by DCA is well worth the mathematical trade-off.

Why you should always keep this quote in mind

Fisher’s perspective extends far beyond financial advice. It is a reminder that in most cases, in both your personal and professional life, consistency matters more than intensity. While the modern world often rewards the pursuit of the “perfect” moment, this mantra suggests that the duration of your efforts is a far more reliable predictor of success than the timing of your actions.

At its core, this quote is a reminder that time will always be your greatest asset. You may not always secure the highest yields, or the most prestigious returns in the short term, but as long as you maintain a longer presence, the cumulative effect of being active will eventually outweigh the benefits of a single, well-timed move.

Consider your own professional career. As a student, your immediate returns may not be that great, and you may fail at “timing the market” by not landing the perfect role in the perfect company in your first attempt. But as long as you spend more “time in the market” (by building skills, networking, gaining experience…), you will eventually reach your objectives.

There is also a significant (and often overlooked) cost to trying too hard to find the perfect opportunities. When you obsess over timing, you risk analysis paralysis and the exhaustion of your mental capital. Sometimes the most strategic move is to accept the path currently before you, proceed with discipline, and allow the future to unfold. By focusing on your tenure rather than your timing, you trade the stress of the unknown for the certainty of cumulative growth.

In the long run, the most successful individuals are rarely those who waited for the wind to be perfect; they are those who kept their sails up regardless of the weather. By internalizing this quote, you adopt a mindset that values patience as a form of hidden strength, ensuring that your capital (both financial and intellectual) has the necessary room to breathe, and expand.

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   ▶ Hadrien PUCHE “The stock market is designed to transfer money from the impatient to the patient” – Warren Buffett

   ▶ Hadrien PUCHE “Price is what you pay, value is what you get” – Warren Buffett

Useful resources

Fisher Investments Market Commentary. Insights from Ken Fisher’s firm on why staying the course matters.

Academic literature

Fama E.F. (1965) Random Walks in Stock Market Prices, Financial Analysts Journal, 21(5), 55-59.

Brinson G.P., L.R. Hood, and G.L. Beebower (1986) Determinants of Portfolio Performance, Financial Analysts Journal, 42(4), 39-44.

Brennan M.J., F. Li, and W.N. Torous (2005) Dollar-Cost Averaging Just Means Taking Risk Later, Review of Finance, 9(4), 509–535.

About the Author

This article was written in February 2026 by Hadrien PUCHE (ESSEC Business School, Grande École Program, Master in Management, 2023-2027).

   ▶ Discover all articles by Hadrien PUCHE

My Internship Experience at the Agricultural Bank of China (ABC)

Bochen LIU

In this article, Bochen LIU (Queen’s Smith School of Business, BCom 2023–2027; ESSEC BBA Exchange Program, Fall 2025) shares his professional experience as a Financial Intern at the Agricultural Bank of China.

About the company

The Agricultural Bank of China is one of China’s “Big Four” commercial banks, serving hundreds of millions of customers across retail, corporate, and rural banking segments. With thousands of branches nationwide, ABC plays a major role in financing agricultural development, supporting SMEs, and delivering a wide range of financial services, including deposits, loans, wealth management products, and payment solutions.

Operating at this scale requires robust internal processes such as standardized reporting, regulatory compliance, risk management, and precise handling of customer information. The finance and operations teams ensure that front-line activities align with corporate strategy and risk guidelines, making accuracy and efficiency essential qualities in daily operations.

Logo of the Agricultural Bank of China.
Logo of Agricultural Bank of China
Source: the company.

I worked within the branch environment responsible for financial reporting, operational risk checks, client data processing, and financial product monitoring. This unit coordinated information from multiple departments to prepare performance reports, verify customer records for compliance purposes, and support analysis of retail and corporate banking products. Its role was to ensure that operational data remained accurate, standardized, and available for supervisors, thereby supporting internal control, risk monitoring, and informed managerial decision-making across the branch.

My internship

As a student from Queen’s Smith School of Business participating in the ESSEC BBA Exchange Program, I had the opportunity to join the Agricultural Bank of China as a Financial Intern in Beijing from 2023 to 2024. This experience exposed me to financial operations, reporting workflows, client data management, and retail product analysis within one of China’s largest state-owned commercial banks.

This internship allowed me to witness firsthand how financial operations are supported by structured information flows. Financial reporting and client data processing are not merely administrative tasks; they form the backbone of internal control systems, enabling managers to make timely and informed decisions across the bank’s branches and business units.

My missions

My missions ranged from streamlining weekly management reporting—reducing turnaround time and improving decision-making efficiency—to processing large volumes of client records for daily risk assessment, and analyzing a variety of financial products across retail and corporate banking.

A core responsibility of my role was assisting with weekly management reporting for the branch. I collected financial and operational data from multiple departments, standardized the format, verified accuracy, and prepared consolidated reports for supervisors. By automating portions of the Excel templates and cleaning data more efficiently, I helped reduce the report turnaround time by approximately 20%. This improvement enabled managers to make decisions more quickly and with clearer visibility on the branch’s performance trends.

I also supported the bank’s daily operational risk assessment by processing and verifying large volumes of client records. This included reviewing transaction histories, updating customer information, and ensuring that all files met regulatory and internal compliance requirements. Handling hundreds of records demanded accuracy, confidentiality, and discipline, as small errors could lead to compliance discrepancies or delays during internal audits.

In addition to reporting and operations, I conducted research on over ten retail and corporate financial products, including personal loans, SME credit lines, savings instruments, and investment-linked products. By comparing product structures, pricing, and customer segments, I gained insight into how banks differentiate offerings and balance profitability with client needs.

Required skills and knowledge

This internship required both technical and interpersonal skills. On the technical side, I worked extensively with Excel to automate report templates, validate performance indicators, and clean datasets efficiently. I strengthened my understanding of banking products, compliance procedures, and risk management systems.

Equally important were soft skills such as attention to detail, time management, communication, and reliability. Weekly reporting deadlines demanded discipline, while client data processing required precision and structured thinking to avoid compliance-related issues. Through these responsibilities, I developed habits that are essential for a career in finance.

What I learned

This experience provided me with a realistic understanding of operational finance inside a major commercial bank. First, I learned the importance of accuracy. Whether preparing reports or updating client files, even small inconsistencies could affect decision-making or regulatory compliance. This taught me to double-check all figures and maintain clear documentation.

Second, I discovered how reporting frameworks support managerial decision-making. Weekly performance reports acted as diagnostic control systems that helped managers assess branch performance, track deviations, and prioritize resources.

Third, I gained confidence in data processing and product analysis. Working through real client files and financial products strengthened my understanding of commercial banking operations and the financial mechanisms supporting customer services. Finally, this experience enhanced my interest in finance and provided a solid foundation for future roles in financial analysis, banking, or corporate finance.

Financial concepts related to my internship

I present below three financial concepts related to my internship: management reporting, operational risk assessment, and financial product analysis. These concepts illustrate the connection between my daily tasks and broader financial management practices.

Management reporting

Management reporting is a core component of internal management control. At ABC, weekly reports enabled supervisors to track metrics such as loan growth, customer acquisition, overdue accounts, and product sales. By optimizing reporting workflows, I contributed to more efficient decision-making and improved information flow within the branch.

Operational risk assessment

Operational risk includes failures in processes, systems, or human error. My work processing client data reflected how banks mitigate this risk through documentation checks, standardized records, and compliance verification. Understanding operational risk is essential for evaluating the stability and effectiveness of financial institutions.

Financial product analysis

Financial product analysis involves comparing product structures, pricing mechanisms, customer segments, and risk-return characteristics. Researching retail and corporate banking products helped me understand how banks refine pricing strategies, innovate offerings, and position themselves competitively while respecting regulatory constraints.

Why should I be interested in this post?

This post provides a realistic view of a financial internship inside a major commercial bank. Students interested in banking, corporate finance, or financial analysis can gain insight into the operational foundation supporting financial institutions.

The experience highlights the value of structured reporting, data accuracy, and understanding financial products—skills that form the backbone of careers in finance, analytics, and investment management.

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Useful resources

Agricultural Bank of China official website

Anthony, R. N., & Govindarajan, V. (2007). Management Control Systems (12th ed.). McGraw-Hill.

Horngren, C. T., Datar, S. M., & Rajan, M. (2015). Cost Accounting: A Managerial Emphasis (15th ed.). Pearson.

Drury, C. (2018). Management and Cost Accounting (10th ed.).

About the author

The article was written in February 2026 by Bochen LIU (Queen’s Smith School of Business, BCom 2023–2027; ESSEC BBA Exchange Program, Fall 2025).

   ▶ Discover all posts by Bochen LIU

Client Segmentation and Private Banking: Marketing Strategy or Risk Shield?

Mathis HOUROU

In this article, Mathis HOUROU (ESSEC Business School, Global Bachelor in Business Administration (GBBA) 2022-2026) explains why Private Banking’s client segmentation is not just about sales, but also a crucial risk management tool for banks.

Introduction

In business school, we learn that client segmentation is a commercial tool. In Private Banking, it is used to group clients by wealth to offer them better services and adjust the pricing. However, during my experience at Société Générale Private Banking, I realized that segmentation is also a powerful risk management tool. Bankers have to take into account regulatory requirements such as KYC (Know Your Customer), as well as the client’s profile, risk tolerance, investment time, and biases.

This becomes even more important with complex products, such as structured products, where a mismatch can lead a client to losses he wasn’t ready to take. Such a situation can cause reputational issues, and regulatory risk for the bank.

This article will show how putting clients in different “boxes” helps banks to control risks and avoid potential disasters.

What is Client Segmentation?

In the context of Private Banking, client segmentation is the classification of clients into different categories in order to adapt the relationship and the level of risk.

Clients are not only grouped according to their AUM (Assets Under Management), but also on their financial experience, investment goals, time horizon, and their risk acceptance. This is all regulated by KYC and investor questionnaires.

On the first layer of this segmentation are the retail clients. These clients represent a vast majority of the clients and often have a low investing capacity.

Then you have the High-Net-Worth Individuals (HNWI), they have investing power and need advice.

Finally, the Ultra-High-Net-Worth Individuals (UHNWI). They are extremely wealthy clients with complex and various needs.

While this may look like a typical marketing pyramid, it is actually a security tool. Each level has strict rules on what the banker can and cannot sell and at what price.

The Global Wealth Pyramid.
The Global Wealth Pyramid
Source: UBS Global Wealth Report.

Segmentation as a Shield against Bad Investments

The most important link between segmentation and risk is suitability. Not every client can handle the same risk. Segmentation helps the bank to define the limits, both to protect the client from unsuitable investments and to protect the bank from regulatory and reputational risk. For example, a risk-averse client in the “retail” segment shouldn’t have access to very volatile products like derivatives or Private Equity.

By using these segments, the bank avoids a “mismatch.” If a bank sells a risky product to a client who doesn’t understand it and loses money, they can have legal problems. Segmentation acts like a filter to prevent this from happening.

Managing Regulatory and Legal Risk

Today, regulations like MiFID II in Europe are very strict. Banks have to prove that the product is good for the client. Segmentation simplifies this, if a product is rated “Risk 5/5” for example, it will be automatically unavailable for clients in the “Conservative” segment.

This reduces the risk of lawsuits and fines and it ensures that the bank is really protecting the client, sometimes even against their own will, by refusing to sell them something too dangerous for their profile.

Risk vs Return relationship.
Risk vs Return JPM
Source: J.P. Morgan Asset Management.

The Human Factor: Behavioral Risk

Risk is not just about numbers; it is also about psychology. In fact, behavioral risk is often underestimated because difficult to measure.

For example, when the market crashes, clients can react differently. An educated investor is going to see an opportunity to buy and will stay calm and steady, while a less experienced client might panic and sell everything at the bottom in fear of losing everything he has.

Finally, segmentation helps bankers to anticipate these reactions because they know that one specific segment needs reassurance and phone calls during a crisis, while another segment is going to be more resilient and will want updates on new opportunities.

Conclusion

To conclude, client segmentation is often shown in Business Schools as a way to maximize profits, but in Private Banking, it is a good way to minimize risks.

It protects the client and the bank at the same time. It makes sure that complicated products are only sold to the clients who understand them, and it helps bankers manage the emotions of the investors.

For us finance students, this is a great lesson: risk management is not just about Excel sheets and formulas. It starts with knowing exactly who your client is.

Related posts on the SimTrade blog

   ▶ Mathis HOUROU My internship experience as a Counterparty Risk Analyst at Société Générale

   ▶ Julien MAUROY Managing Corporate Risk: How Consulting and Export Finance Complement Each Other

   ▶ Rishika YADAV Understanding Risk-Adjusted Return: Sharpe Ratio & Beyond

   ▶ Michel VERHASSELT Risk comes from not knowing what you are doing

Useful resources

J.P. Morgan Asset Management Guide to the Markets (Europe)

UBS UBS Global Wealth Report 2025

About the author

The article was written in February 2026 by Mathis HOUROU (ESSEC Business School, Global Bachelor in Business Administration (GBBA)).

   ▶ Discover all articles by Mathis HOUROU.

“Investing is stupid if you’re more worried about short-term volatility than long-term quality.” – Charlie Munger

Investing is often a battle with our own emotions. We see prices rise sharply and crash just as fast, and this can lead to very bad investment decisions. However, Charlie Munger’s wisdom comes once again handy, to remind us to avoid overlooking at prices all day-long, because “Investing is stupid if you’re more worried about short-term volatility than long-term quality”.

Hadrien PUCHE

In this article, Hadrien PUCHE (ESSEC Business School, Grande École Program, Master in Management, 2023-2027) explores why Munger’s wisdom serves as a welcome reminding of the difference between short-term price and long-term value.

Charlie Munger: the architect of quality investing

Charlie Munger
Charlie Munger
Source : Fortune

Charlie Munger (1924–2023) was far more than a mere lieutenant to Warren Buffett; he was the primary intellectual catalyst who shifted Berkshire Hathaway’s strategy away from the traditional “cigar butt” school of Benjamin Graham. While Graham sought “fair businesses at a great price,” Munger convinced Buffett of the immense power found in “great businesses at a fair price”. The 1989 Letter to Shareholders is particularly famous for the “Mistakes of the First Twenty-Five Years” where Munger’s influence is clear.

He achieved this by integrating a multidisciplinary framework (incorporating insights from psychology, biology, and physics) to decode the complexities of the financial world, ultimately arguing that the quality of a business is the only reliable engine for long-term wealth.

It has to be said that there is no record of Charlie Munger saying these exacts words, but it does summarize well his investment philosophy.

An analysis of this quote

Munger’s philosophy rests upon the bedrock observation that the stock market operates as a “weighing machine” in the long run, even if it behaves like a “voting machine” in the short term. He famously dismissed the academic obsession with volatility as a proxy for risk, arguing instead that a twenty-percent drawdown is not a “loss” unless the investor is forced to sell, or if the fundamental earning power of the business has permanently deteriorated. Real risk, in the Munger school of thought, is defined strictly as the permanent loss of capital (the inability to recover one’s initial investment), which has almost no correlation with the standard deviation of daily price movements.

Furthermore, Munger recognized that investors are often their own worst enemies, due to “loss aversion” (a biological vestige of our evolutionary past where a declining stock price triggers a “fight or flight” response). He suggested that if an individual lacks the temperament to ignore these short-term signals, they are effectively paying an “emotional tax” that prevents them from reaching the higher echelons of compounding.

Indeed, the first rule of compounding is to never interrupt it unnecessarily; by reacting to volatility, investors often liquidate high-quality assets during temporary market drawdowns, effectively resetting their exponential growth clock and sacrificing future prosperity.

Financial concepts related to the quote

This quote reminds me of a few very interesting financial concepts that you may be interested in.

The flaw with Beta in the modern portfolio theory

In the world of academic finance (specifically within the Capital Asset Pricing Model, or CAPM), risk is mathematically defined as Beta (β), which measures the sensitivity of an asset’s returns relative to the broader market.

As a reminder, the CAPM expresses the expected return of an asset as a function of the risk-free rate, the beta of the asset, and the expected return of the market. The main result of the CAPM is a simple mathematical formula that links the expected return of an asset to these different components. For an asset i, it is given by:

CAPM risk beta relation

Where:

  • E(ri) represents the expected return of asset i
  • rf the risk-free rate
  • βi the measure of the risk of asset i
  • E(rm) the expected return of the market
  • E(rm)- rf the market risk premium.

The risk premium for asset i is equal to βi(E(rm)- rf), that is the beta of asset i, βi, multiplied by the risk premium for the market, E(rm)- rf.

In this model, the beta (β) parameter is a key parameter and is defined as:

CAPM beta formula

Where:

  • Cov(ri, rm) represents the covariance of the return of asset i with the return of the market
  • σ2(rm) the variance of the return of the market.

However, Munger viewed this as a fundamental intellectual error. From an analytical standpoint, if a company’s intrinsic value remains stable while its price drops significantly, the “risk” (the probability of overpaying) has actually decreased, even though the “volatility” (the Beta) has technically increased.

For the rational investor, volatility should be viewed as a provider of liquidity and favorable entry points rather than a threat. When the market overreacts to macro-economic data or geopolitical tension, it creates a “Rationality Gap” where high-quality firms are temporarily mispriced. Munger argued that those who can remain stoic during these periods are the ones who capture the “premium of patience.”

In essence, while the academics are busy calculating standard deviations, the Munger-style investor is busy calculating whether the business’s ability to generate cash remains intact.

”A
What really matters for Charlie Munger is to buy the stock when it is underpriced, and selling it when it is overpriced. Source: Elearnmarkets Blog

ROIC, and the dynamics of the “Economic Moat”

For Munger, “Quality” was not a vague descriptor but a quantifiable financial phenomenon centered on one main metric: Return on Invested Capital (ROIC). The formula is elegant in its simplicity:

ROIC = NOPAT ÷ Invested Capital

Munger observed that over a forty-year holding period, a stock’s total return will inevitably converge toward its ROIC. Crucially, for value to be created, this ROIC must be higher than the Weighted Average Cost of Capital (WACC). If you hold a business that earns six percent on its capital for decades—barely matching its cost of capital—you will ultimately earn a six percent return, regardless of whether you bought it at a “bargain” or a “fair” price. Conversely, if a business earns eighteen percent on capital, the positive spread over its WACC creates a compounding effect that will eventually dwarf any initial valuation premium you paid.

However, high ROIC is a magnet for competition, which is why Munger prioritized companies with a “Economic Moat.” This refers to a structural barrier (such as the brand equity of Coca-Cola, the network effects of Alphabet, or the high switching costs of Microsoft) that prevents competitors from eroding those high returns. Without a moat, the spread between ROIC and WACC is merely a temporary state before mean-reversion takes hold. Therefore, analyzing a business involves a deep dive into its competitive advantages to ensure that its high ROIC is sustainable over decades, and not just over a few quarters.

Time Arbitrage and Tax Efficiency

One big advantage that an individual investor has over a professional fund manager is the concept of “Time Arbitrage.” Most institutional managers are constrained by quarterly benchmarks, and the pressure to avoid “tracking error” (falling behind the index), which forces them to react to short-term volatility to protect their career longevity. However, by extending the time horizon to ten or twenty years, an investor exit this hyper-competitive arena where most traders operate, and enters a space where patience is the primary competitive edge.

This long-term orientation also creates a significant (yet often overlooked) financial benefit: tax efficiency. By refusing to sell during volatile periods, the investor avoids triggering capital gains taxes, which allows the “unpaid taxes” to remain within the investment, and compound for free.

As Munger frequently noted, the “big money” is found in the waiting. By minimizing turnover, you maximize the terminal value of your portfolio, by ensuring that the engine of compounding is never throttled by unnecessary friction or tax leakage.

My opinion on this quote

In my view, this quote is a very interesting take on financial rationality. It is a rejection of the “noise” that defines modern electronic trading. What I find most compelling is Munger’s insistence that volatility is not a hazard, but rather the price of admission for superior returns (a concept many students struggle to internalize when they first encounter the volatility-centric models of academic finance).

To me, Munger is arguing that the market is often a theatre of the absurd where prices decouple from reality due to human emotion; therefore, the only logical response for a serious investor is a disciplined focus on the structural integrity of the business (the quality) rather than the erratic pulse of the stock price.

I believe that the “stupidity” Munger refers to is the intellectual laziness of letting a falling price dictate your perception of a business’s value. It is far easier to look at a chart and feel fear, than it is to dig into a 10-K filing to verify the Return on Invested Capital (ROIC), or the durability of a competitive advantage. By prioritizing quality over volatility, we are essentially choosing to be owners of productive assets rather than gamblers on price movements; and this shift in perspective is, in my opinion, the single most important transition a young financier can make.

Why should this quote matter to you

Whether you aspire to work in Asset Management, Private Equity, or Equity Research, Munger’s perspective is a vital toolkit for professional survival. In the institutional world, you will be constantly bombarded with requests to explain “why the market is down today” or “why a portfolio company underperformed this month.”

If you focus on these short-term “wiggles” in the data, you risk becoming a mere weather reporter. Understanding Munger allows you to move beyond superficial queries and focus on the real metrics: the cash flow margins, the structural moat, the capital allocation of management…

The “ROIC” of your career path

This principle transcends stock picking and applies directly to your own professional trajectory. Think of your career through the lens of Investment vs. Volatility:

  • Career Volatility: These are the temporary setbacks: a tough performance review, a project that stalls, or a hiring freeze. If you overreact to this volatility, you risk making impulsive “trades” with your career that interrupt your progress.
  • Career Quality: This is the compounding value of your technical skills, your network, and your intellectual rigor. These are the assets that generate a high “Return on Invested Capital” (ROIC) for your time and effort.

In finance, the most dangerous mistake you can make is interrupting a compounding process unnecessarily. By prioritizing the “long-term quality” of your professional output over the “short-term noise” of the job market, you ensure that you are building a career that is structurally sound and capable of weathering any economic storm.

Related posts

Quotes

   ▶ All posts about Quotes

   ▶ Hadrien PUCHE “The big money is not in the buying and selling, but in the waiting.” – Charlie Munger

   ▶ Hadrien PUCHE “The market is never wrong, only opinions are.” – Jesse Livermore

Financial techniques

   ▶ Saral BINDAL Historical Volatility

   ▶ Jayati WALIA Capital Asset Pricing Model (CAPM)

   ▶ Youssef LOURAOUI Markowitz Modern Portfolio Theory

   ▶ Youssef LOURAOUI Beta

Useful resources

Kaufman, P.D. (2005) Poor Charlie’s Almanack: The Essential Wit and Wisdom of Charles T. Munger, Third Edition, Virginia Beach, VA: Donning Company Publishers.

Buffett W.E. Berkshire Hathaway Shareholder Letters Omaha, NE: Berkshire Hathaway Inc.

Frazzini A., D. Kabiller, and L.H. Pedersen (2013) Buffett’s Alpha, Working paper.

About the Author

This article was written in February 2026 by Hadrien PUCHE (ESSEC Business School, Grande École Program, Master in Management, 2023-2027).

   ▶ Discover all posts written by Hadrien PUCHE

The market is a continuously unfolding process of discovery – Peter Steidlmayer

Financial markets move every second, reacting to every new piece of information, every financial statement, every geopolitical event. Prices rise, fall, move too far, come back again, and for anyone observing from the outside, this constant motion can easily appear chaotic.

Yet, behind this apparent disorder lies a deeper structure, a logic shaped by the continuous exchange between buyers and sellers who negotiate and adjust their positions in real time.

Hadrien PUCHE

In this article, Hadrien PUCHE (ESSEC Business School, Grande École Program, Master in Management, 2023-2027) explains why Peter Steidlmayer’s quote is so meaningful.

Peter Steidlmayer and the origin of market profile

Peter Steidlmayer
Peter Steidlmayer
Source : Profile trading

Peter Steidlmayer is known above all as the creator of the Market Profile methodology, introduced at the Chicago Board of Trade in the early 1980s. His goal was both simple and ambitious: to provide market participants with a clearer understanding of where the market was “accepting” value, rather than simply where prices happened to appear on a linear chart.

The quote that defines his philosophy first gained prominence in his seminal work:

“The market is a continuously unfolding process of discovery. Price is not value in itself, but the market’s best guess at a given moment. Only through the passage of time, with sufficient volume at a given range, can value be established.”

— Peter Steidlmayer, Markets and Market Logic: Trading and Investing with a Sound Understanding and Approach (1986).

Until this publication, most analysis focused on time-based charts that displayed the sequence of prices but said little about the intensity of trading at each level. Steidlmayer added a decisive dimension by incorporating Volume at Price, revealing how the market behaves like a continuous auction. Buyers and sellers negotiate, the market explores different levels, and value emerges where transactions cluster and where time confirms acceptance.

The quote takes its meaning directly from this framework. For Steidlmayer, markets discover value in the same way an auction settles a fair price: not through a single print, but through repeated interaction. A sudden spike tells us very little; it is merely a “probe.” But when the market spends time around a certain level with significant volume, it offers a reliable indication of Accepted Value.

To learn more about market profiles, check out this article by Michel Verhasselt on Market Profiles.

The graph below presents Steidlmayer’s market price distribution. The curve is constructed by dividing the trading session into equal time intervals (typically 30 minutes) and recording each price level traded during every interval. Each instance of a price occurring within a given bracket is labeled a Time Price Opportunity (TPO). The distribution is then formed by aggregating the total number of TPOs at each price level across the session, thereby producing a time-weighted empirical distribution of prices. Under conditions of relative balance between supply and demand, this process often yields a bell-shaped profile. In this framework, price discovery exhibits an ordered structure: the central region of the curve (characterized by a high concentration of TPOs) reflects sustained trading activity and temporary equilibrium, commonly interpreted as the market’s most accepted estimate of fair value. Conversely, the tails correspond to price levels traversed quickly, signaling rejection, imbalance, and potential disequilibrium (often associated with emotional trading).

The distribution curve of prices, a way to estimate the actual value of an asset

Analysis of the Quote

“The market is a continuously unfolding process of discovery” captures the very essence of Steidlmayer’s thinking. By framing the market this way, he reminds us that it is not a static mechanism but a living process in perpetual motion. Prices are not definitive statements of value; they are temporary judgments, mere snapshots of the market’s collective opinion at one precise moment.

Price reflects the most recent consensus, influenced by news, emotion, and short-term liquidity. It is the market’s best guess, but never its final conclusion. True value, on the other hand, does not reveal itself instantly. It appears gradually through the accumulation of transactions that demonstrate where participants genuinely agree. This requires sufficient volume and visible acceptance to prove that a broad set of participants (and not just a few aggressive traders) concurs on a price level.

This distinction explains why short-term volatility often expresses emotion more than fundamentals. In contemporary terms, price discovery is fast and exploratory, while value discovery is slow, deliberate, and shaped by consensus. This is what Warren Buffet meant when he said “Price is what you pay, value is what you get”.

Understanding that the market is a “continuously unfolding” conversation helps investors remain focused on the durable signal of value rather than reacting to the transient noise of price.

Three Financial Concepts Linked to the Quote

Market microstructure and auction theory

Financial markets operate in many ways like auctions. Buyers raise their bids, sellers adjust their offers, and the market constantly seeks the level at which both sides find balance. This is the essence of Market microstructure, the study of how a market’s participants and their behavior determine the price of an asset. Just like in an auction, participants negotiate in real-time, until the highest price someone is willing to pay and the lowest price someone is willing to sell meet.

Steidlmayer’s vision aligns perfectly with the principles of market microstructure: during periods of uncertainty, the market enters a “discovery” phase, where prices move rapidly and vertically to find new participants. This is the market effectively “probing” for the limits of supply and demand, in a continuously unfolding process of discovery.

When a price is found, the market stops moving vertically and starts moving horizontally, spending more time at a specific level to facilitate the maximum amount of trade. These consolidation areas are visual representation of agreement. It shows that the market has stopped searching and has found a temporary equilibrium where both buyers and sellers are satisfied with the price.

”Graph
As you can see here, the price moves in a range until a market event causes an auction. When an appropriate price is found, the market resumes moving in a new range again. Source : Jump trading.

Liquidity

Liquidity plays a decisive role in determining whether a price reflects genuine value or merely a temporary distortion. In finance, liquidity is defined as the ability to buy or sell an asset quickly without significantly affecting its price. It is a multi-dimensional concept, analyzed through several key components:

  • Tightness: Refers to the cost of a transaction, typically measured by the width of the bid-ask spread.
  • Depth: The volume of orders available at various price levels above and below the current market price.
  • Breadth: The number and diversity of market participants, indicating a wide range of interests.
  • Resiliency: The speed at which prices recover to “fair value” after a large, potentially disruptive trade.

In Steidlmayer’s framework, a price level reached on minimal volume is considered “unfair” or an outlier; it tells us very little because it lacks the support of the broader market. On the other hand, a price level traded repeatedly with strong participation speaks with far more authority. It indicates that a large number of participants have agreed on this price, and that is therefore “fair”.

This is why professional investors rely on measures such as the Volume Weighted Average Price (VWAP), the volume profile, and value area boundaries. These tools help separate the meaningful “signal” of institutional conviction from the surrounding “noise” of retail emotion. In essence, price is the discovery mechanism, but volume is the validation.

Without volume, a price movement is a mere suggestion; with volume, it becomes a confirmed consensus of value.

Market efficiency

The quote also relates to the Efficient Market Hypothesis (EMH), which suggests that asset prices reflect all available information. There are three distinct forms of market efficiency:

  • Weak form: Assumes that current prices reflect all information contained in past prices and trading volumes, meaning technical analysis cannot consistently produce excess returns.
  • Semi-strong form: Assumes that prices adjust instantly to all publicly available information, such as earnings announcements or economic data.
  • Strong form: Assumes that prices reflect all information, including private or insider information, according to which price should always equal value.

Steidlmayer proposes a more nuanced and realistic vision: markets are constantly searching for value, and they do not find it immediately. Because the “process of discovery” is driven by human participants with varying expectations, the market often overshoots or undershoot its true value before settling into a new equilibrium.

Mean reversion of a price over time
We can clearly see the market’s propensity for emotional excess, where price extends far beyond fair value before reverting to the mean. These oscillations prove that price discovery is a non-linear process driven by temporary imbalances in supply and demand. Source: dailypriceaction.com

This concept is essential for students. It explains why markets may be broadly efficient over long horizons, but still display irrational behavior in the short term. These “inefficiencies” are not market failures, but proof that the discovery process is in action.

By understanding that the current price is a search (and not a final answer), an investor can remain calm when the market overreacts, knowing that prices will eventually pull back towards the established value area.

My opinion on this Quote

I believe this quote offers a very accurate description of market behavior. It captures, with remarkable clarity, the difference between instantaneous price and durable value. What I find particularly compelling is the way it reframes volatility as part of the market’s natural process of exploration (rather than a source of confusion).

This perspective encourages patience, and reinforces the idea that investors should focus on context and ranges rather than individual specific prices.

However, it is important to nuance this perspective in the context of today’s modern markets. Steidlmayer’s logic was developed in the 1980s, long before the dominance of High-Frequency Trading (HFT) and algorithmic execution. Today, the “process of discovery” often happens in milliseconds, particularly on large cap stocks. While the fundamental principles of auction theory still apply, the transition from price to value is now much faster.

Despite this technological shift, the core lesson remains: the market is a conversation, and even if that conversation is now partly led by machines, the ultimate consensus still requires time and volume to establish true value.

Why should this quote matter to you ?

This quote is a good way of adding an additional level of complexity to your understanding of how markets truly function. Understanding the market’s process of discovery helps better understand markets movements, distinguish noise from genuine information, and avoid reacting impulsively to volatility. It teaches you to appreciate the essential roles of time, liquidity, and volume in revealing value, in order to make better decisions.

Ultimately, this quote conveys a profound lesson. The market is more of a conversation than a verdict, a continuous exchange of perspectives that gradually converges toward value. For any student who hopes to approach markets with discipline and understanding, mastering this idea is both a practical and an intellectual advantage.

Related posts

Famous quotes about valuation

   ▶ All posts about Quotes

   ▶ Hadrien PUCHE “Price is what you pay, value is what you get” – Warren Buffett

   ▶ Hadrien PUCHE “The stock market is filled with individuals who know the price of everything, but the value of nothing.” – Philip Fisher

Other famous quotes

   ▶ Hadrien PUCHE “The big money is not in the buying and selling, but in the waiting.” – Charlie Munger

   ▶ Hadrien PUCHE “Don’t look for the needle in the haystack. Just buy the haystack.” – John C. Bogle

About market profile

   ▶ Michel VERHASSELT Market profiles

   ▶ Michel VERHASSELT Difference between market profiles and volume profiles

   ▶ Michel VERHASSELT Trading strategies based on market profiles and volume profiles

   ▶ Raphael TRAEN Volume-Weighted Average Price (VWAP)

Useful resources

Steidlmayer P.J. and K. Koy (1986) Markets and Market Logic: Trading and Investing with a Sound Understanding and Approach, Porcupine Press.

Steidlmayer P.J. and S.B. Hawkins (2003) Steidlmayer on Markets: Trading with Market Profile, John Wiley & Sons, Second Edition;

TPO versus Volume Profiles

Trader Dale Volume Profile vs. Market Profile – What Is The Difference? YouTube video

About the Author

This article was written in February 2026 by Hadrien PUCHE (ESSEC Business School, Grande École Program, Master in Management, 2023-2027).

   ▶ Discover all articles by Hadrien PUCHE

“The stock market is designed to transfer money from the impatient to the patient.” – Warren Buffett

Financial markets move with a constant rhythm, shaped by news, expectations, and the psychological impulses that influence investors every day. Prices advance, decline, accelerate suddenly, or pause without warning, and to the untrained observer this flow can seem arbitrary or even irrational. This can make it hard for investors to resist the urge of buying or selling their positions quickly.

This quote from Warren Buffett is a warning against it: markets reward those who remain disciplined and focused, while those who act hastily often pay a price for their impatience. The market is not hostile, but it is unforgiving towards impulsive behavior.

Patience allows an investor to benefit from the long-term effect of compounding, and from the natural tendency of solid businesses to grow over time, while impatience often leads to emotional decisions and unnecessary losses.

For students discovering finance, this idea is essential: long term thinking matters far more than reacting to every fluctuation, and why understanding the difference between noise and fundamentals is the foundation of intelligent investing.

About Warren Buffett and the context around this quote

Warren Buffett
Warren Buffett
Source : Forbes

Warren Buffett, often referred to as the Oracle of Omaha, is widely considered one of the most successful investors in history. His approach, inspired by Benjamin Graham and refined over decades, rests on a simple yet profound principle: invest in high quality businesses, pay a fair or attractive price, and allow time to do the work.

Buffett always emphasized the behavioral dimension of investing. He understood that markets are driven not only by numbers and earnings reports but also by the emotions of millions of individuals. His quote emerges from this observation. In his view, wealth tends to move from those who chase quick gains toward those who maintain a steady and patient perspective. Investors who panic in downturns or who jump rapidly from one trend to another often lose sight of the enduring value behind the companies they own, while patient investors remain focused on long term fundamentals and benefit accordingly.

The quote therefore illustrates a philosophy that has guided Buffett’s entire career: patience is not a passive posture but an active discipline that allows value to reveal itself over time.

Analysis of the quote

When Buffett says that the market transfers money from the impatient to the patient, he is not describing a mechanical rule but rather a behavioral reality. Impatient investors tend to react to fear, enthusiasm, fashionable narratives and short-term price movements. They buy when something is rising, they sell when it is falling, and they allow emotion to replace judgment.

Patient investors do the opposite: they base their decisions on analysis, intrinsic value, and long-term expectations. They endure volatility, because they understand that markets move in cycles, and that temporary declines often have little to do with the underlying quality of a business.

This distinction explains why timing the market is so difficult. Prices fluctuate for countless reasons, many of which are unrelated to value. Without patience, investors risk entering at euphoric peaks and exiting at fearful lows. With patience, they allow compounding, earnings growth, and valuation discipline to work slowly but steadily in their favor.

Financial concepts linked to the quote

To understand why the market favors the patient, we must look at the structural and psychological mechanics that reward those who remain calm.

Compounding: why time is your most important asset

The most powerful tool available to an investor is compounding, a process where the returns on your capital begin to earn their own returns.

However, compounding is not a linear process; it is exponential. In the early stages, progress often feels slow and invisible, which is where many “impatient” investors make the mistake of quitting or changing strategies. To benefit from the “snowball effect,” an investor must possess the patience to endure these quiet early years so that the math can eventually reach its explosive later stages.

A graph showing the difference between simple and compounded interest
As you can see on this graph, compounded interest becomes trully impressive only after quite a long time.

To better understand the power of compounding, download this excel file and try to play around with the interest rate.

Download the Excel file to learn more about how compounding works

Every time an investor reacts to market volatility by selling or switching positions, they effectively stop their compounding clock. This “stop-and-go” approach is costly; by exiting the market out of fear, you don’t just avoid potential losses : you also forfeit the most explosive days of growth that often follow a downturn.

Since the market is nearly impossible to time perfectly, the most reliable path to wealth is not “timing” the market, but maximizing your time in the market.

The hidden cost of action bias

In nearly every aspect of life, effort correlates with reward: working harder, studying more, or practicing longer typically yields better results. However, the stock market operates under a different logic: it punishes excessive activity.

This counter-intuitive reality is best captured by the action bias, a powerful psychological urge to react to every market fluctuation or news headline by adjusting one’s portfolio.

The consequences are financially tangible : each impulsive trade incurs friction costs : brokerage fees, commissions, capital gains taxes… . Over time, these small deductions compound themselves into a significant drag on returns.

Studies, such as the landmark research by professors Brad Barber and Terrance Odean titled “Trading Is Hazardous to Your Wealth,” consistently show that the most active investors typically underperform simpler strategies. By analyzing thousands of accounts, they discovered that the most frequent traders earned significantly lower returns (by a margin of several percentage points) than those who simply stayed the course.

Investors who trade more end up with lower returns
Source: Barber, B. M., & Odean, T. (2000).

This happens because attempts to “time” the market or avoid perceived risks often lead investors to miss crucial recovery periods. In doing so, they effectively turn off their compounding engine at precisely the wrong moment, proving that in the market, activity is often the enemy of performance.

Patience, therefore, isn’t just about waiting; it’s the profound discipline of knowing when to do nothing. It means resisting the innate human desire to act when faced with uncertainty, and trusting the long-term compounding process.

For students, understanding action bias is crucial. True control in investing often comes from emotional restraint, not constant intervention, and you should always remain calm when others panic.

Diversification: don’t put all your eggs in the same basket

Patience is not merely a test of willpower; it also requires a properly structured portfolio, as it is far easier to remain calm when your entire financial future does not depend on a single outcome. This is where diversification (the practice of spreading investments across various companies, sectors, geographies, and asset classes) becomes a psychological necessity.

By ensuring you aren’t “putting all your eggs in one basket,” you replace the high-stakes anxiety of gambling with the steady reliability of participating in global economic growth.

Diversification therefore is important as an emotional safety net. If you concentrate your wealth into a single “trendy” stock and its price collapses, your natural instinct will be fear, which often leads to selling at the worst possible time. On the other hand, by diversifying your portfolio through an index fund, the failure of one company can be offset by the success of others. This limits the risk of a permanent loss of capital, and helps view market storms as temporary noise rather than a disaster.

A graph representing the overall risk of a portfolio as a function of the number of positionsIncreasing the number of securities in a portfolio reduces unnecessary risk, limiting the risk of excessive fear for the investor

The arithmetic of active management (Sharpe’s Law)

While Buffett focuses on the behavior of the investor, Nobel Laureate William Sharpe focuses on the math of the market. In his paper The Arithmetic of Active Management, Sharpe presents a simple, undeniable logic:

  • Before costs, the average active manager must earn the same return as the market (the passive benchmark). The market return is the average of all manager’s returns, so it makes sense that the average manager’s return must be the market return.
  • After costs (management fees, trading commissions, bid-ask spreads), the average active manager must underperform the average passive manager, because they have to bear higher costs.

This is not a matter of opinion, but a mathematical certainty. Passive investors hold the market at a very low cost, when active investors, as a group, hold the same stocks but pay high fees to analysts, traders, and managers who try to “beat” each other.

The impact of fees: the “silent killer” of compounding

Fees are the ultimate enemy of the patient investor. If the market returns 7% and an active fund charges 1.5% in fees, the investor only keeps 5.5% every year.

But over 30 years, that 1.5% difference doesn’t just reduce your return by 1.5%: that lost money is never allowed to compound, and because of this, your final wealth will by much lower.

graph of the difference in returns between a 5.5% compounding and a 7% compounding

As Sharpe argues, active management is a “zero-sum game” before costs, but a “negative-sum game” after costs for the participants involved.

My opinion on the quote

I believe this quote captures one of the most essential truths in investing: behaviour matters just as much as analysis. Patience is not a simple virtue, it is a true competitive advantage. In a world where information circulates instantly and where impatience is encouraged by constant market noise, choosing to remain calm and long term oriented becomes a rare and valuable discipline.

Buffet’s perspective also helps reinterpret market volatility. Rather than seeing it as a threat, patient investors see it as an opportunity to accumulate quality assets at reasonable prices. Impatient investors, on the contrary, allow volatility to dictate their actions, which often leads to regret. For students, understanding this psychological dimension is essential because it prepares them for the realities of financial markets where noise is constant and conviction must be earned.

Why you should care about this quote

This quote is about avoiding impulsive reactions to short term movements, being able to distinguish between emotion and information, and to appreciate the slow and steady nature of compounding. It emphasizes the importance of discipline, valuation, and long term thinking, and it reveals why the greatest investors often seem remarkably calm in the face of market turbulence.

Ultimately, Buffett’s quote reminds us that markets reward patience not by coincidence but by design. They favor those who stay focused while others are distracted, those who think in years rather than in minutes, and those who allow value to express itself with time. For any student aspiring to navigate markets with intelligence and serenity, this is a principle worth integrating into your financial education.

Related posts

Famous quotes

   ▶ All posts about Quotes

   ▶ Hadrien PUCHE “Price is what you pay, value is what you get” – Warren Buffett

   ▶ Hadrien PUCHE “Patience is bitter, but its fruit is sweet.” – Aristotle

   ▶ Hadrien PUCHE “The big money is not in the buying and selling, but in the waiting.” – Charlie Munger

Asset management

   ▶ Youssef LOURAOUI Active investing

   ▶ Youssef LOURAOUI Passive investing

Useful resources

Academic research

Barber, B. M. & Odean, T. (2000) Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. The Journal of Finance, 55(2), 773–806.

Barberis, N. & Thaler, R. (2003) A Survey of Behavioral Finance. Handbook of the Economics of Finance, 1B, 1053–1128.

Odean, T. (1999). Do Investors Trade Too Much? The American Economic Review, 89(5), 1279–1298.

Sharpe, William F. (1991). The Arithmetic of Active Management. Financial Analysts Journal, 47(1), 7–9.

Business resources

Buffett W.E. Berkshire Hathaway Shareholder Letters Omaha, NE: Berkshire Hathaway Inc.

Schroeder A. (2008) The Snowball: Warren Buffett and the Business of Life. New York: Bantam Books, 2008.

About the Author

This article was written in February 2026 by Hadrien PUCHE (ESSEC Business School, Grande École Program, Master in Management, 2023-2027).

   ▶ Discover all posts by Hadrien PUCHE

Green Bonds: Financial Innovation or Marketing Tool?

Mathis HOUROU

In this article, Mathis HOUROU (ESSEC Business School, Global Bachelor in Business Administration (GBBA) 2022-2026) explores the definition of green bonds and their limits to see if they are a real financial innovation or primarily a marketing tool.

Introduction

In the last ten years, green bonds have become very popular in sustainable finance. Governments and big companies use them to finance projects with a positive impact on the environment, like green energy or clean transport.

In the last ten years, green bonds have become very popular in sustainable finance. Governments and big companies use them to finance projects with a positive impact on the environment, like green energy or clean transport. For example, in January 2017 France issued its first sovereign green bond for €7 billion, one of the largest green bond issuances at the time, to finance climate-related and environmental projects.

Today, environmental criteria are very important for investors. Green bonds are often seen as a perfect solution to mix profit and sustainability. In fact, according to the Climate Bonds Initiative, the global green bond market surpassed $550 billion in annual issuance in 2021, showing a growing demand. However, are green bonds really different from traditional bonds, or are they just a marketing strategy from companies to appear more ethical?

This article looks at the definition of green bonds and their limits to see if they are a real financial innovation or just some greenwashing used to make even more money.

What is a Green Bond?

First, a green bond is a debt instrument, so the money raised must be used only for projects that help the environment.

Technically, green bonds work exactly like normal bonds. They have a maturity date, they pay interests (coupons). For instance, if a company issues a green bond to build a solar farm and goes bankrupt, the investor loses money, just like with a standard bond.

The only real difference is that the money must finance green projects. There are voluntary rules, like the Green Bond Principles by the ICMA (International Capital Market Association), for transparency, but they are not laws.

Global annual green bond issuance (USD bn).
Global annual green bond issuance chart
Source: Reuters

A Fast-Growing Market

Since the first green bond by the European Investment Bank in 2007, the market has grown a lot. Now, it is a big part of the bond market. There are three main reasons for this evolution:

  • Demand: Investors want to respect ESG (Environmental, Social, and Governance) rules and are more eco-conscious.
  • Regulations: Governments encourage green finance and incentivize people to invest in those funds by creating advantages.
  • Reputation: For companies, issuing a green bond is good for their image. It shows they care about the planet and the future.

Are They Financially Different?

From a financial point of view, green bonds are very similar to classic bonds. The risk and the return are usually equivalent.

There is a debate about a “greenium” or green premium. This means that investors might accept a lower interest rate because the bond is green. But in reality, the price of the bond depends mostly on interest rates and the credit quality of the issuer, not just the “green label”.

Evolution of the “Greenium” (yield difference between green and non-green bonds).
Greenium evolution chart
Source: Amundi

The Risk of Greenwashing

The main problem with green bonds is transparency. The definition of a “green project” can be vague.

This creates a big risk of “greenwashing.” A company might label a bond as green for a project that is not very ambitious, just to attract investors. The OECD has also warned that greenwashing can undermine trust in sustainable finance markets if issuers exaggerate environmental benefits.

Even if there are auditors to look into the projects, there are still not enough binding rules and laws to compare and verify whether a project is truly green. The International Capital Market Association (ICMA) notes that its Green Bond Principles remain voluntary guidelines rather than legal regulation.

Why do Investors Buy Them?

For investors, green bonds are very useful. They allow them to respect their sustainability goals without changing the risk of their portfolio. In particular, they are widely purchased by institutional investors such as pension funds, insurance companies, and asset managers, who increasingly integrate ESG criteria into their investment strategies.

However, buying a green bond does not always mean better returns or better diversification. It is often a decision based on strategy and regulation, not just financial performance.

The Spectrum of Capital: positioning green bonds between traditional investment and impact investing.
The Spectrum of Capital
Source: Russell Investments

Conclusion

From a technical standpoint, green bonds do not represent a new financial mechanism. They function exactly like traditional bonds.

However, from a strategic perspective, they are a real innovation. They shift how capital is allocated by directing funds specifically toward environmental goals, forcing issuers to be more transparent.

While they are not a perfect solution for climate change and carry risks of greenwashing, green bonds remain a vital tool. They bridge the gap between financial markets and the urgent needs of our planet.

Related posts on the SimTrade blog

   ▶ Anant JAIN Social Impact Bonds

   ▶ Louis DETALLE What are green bonds?

   ▶ Anant JAIN Environmental, Social & Governance (ESG) Criteria

   ▶ Nithisha CHALLA US Treasury Bonds

Useful resources

OECD Protecting and empowering consumers in the green transition

ESG News US Green Bond Sales Near Record High, Reaching $550B: BloombergNEF Repor

Banque de France (April 2025) Obligation verte

Climate Bonds Initiative Market Data

ICMA Green Bond Principles

Amundi Research Center ESG & Green Bonds

About the author

The article was written in February 2026 by Mathis HOUROU (ESSEC Business School, Global Bachelor in Business Administration (GBBA)).

   ▶ Discover all articles by Mathis HOUROU.

My Internship Experience at Société Générale Private Banking

Mathis HOUROU

In this article, Mathis HOUROU (ESSEC Business School, Global Bachelor in Business Administration (GBBA)) shares his professional experience as an intern in Société Générale Private Banking, showing the role of analytical tools, performance monitoring and advisory support in a wealth management environment.

About the company

Société Générale is a major European banking group with operations in more than 60 countries. As of 31 December 2024, the Group employed approximately 119,000 people, served over 26 million clients in 62 countries, and reported total assets of EUR 1,573.5bn with total equity of EUR 79.6bn. In 2024, net banking income amounted to EUR 26.8bn, while group net income reached EUR 4.2bn.

Logo of Société Générale Private Banking.
Logo of Société Générale Private Banking
Source: Société Generale.

Société Générale is one of the largest European banking groups, offering retail banking, corporate and investment banking, and wealth management services. The Group operates in multiple countries, from individuals to large companies, with diversified financial activities.

Within the Group, private banking represents a very strategic business dedicated to high-net-worth individuals (HNWI). It combines investment advisory, portfolio management, and long-term wealth structuring, relying mainly on a close relationship with the clients.

The role of this segment is crucial for the bank, as high-net-worth individuals (HNWI) create a lot of value. If the bank can’t offer them a service that is differentiating from normal clients, they will go to the competitor. The clients are either coming from the retail segment named SGRF when their account is reaching a certain amount (often around 500k€) or acquired directly from the competitor. In order to do so, Société Générale Private Banking (SGPB) is offering a panel of different investments, exclusive offers, special relationships, and many more.

My internship

During my internship, I worked within the “Maison de Gestion et Conseil” team at Société Générale Private Banking in Paris. My team was responsible for the entire segment of “Banque Privée” and “Gestion Privée” in France, acting as a support function for private bankers and management.

Over a period of 6 months, my role consisted in assisting the team with the day-to-day operation. Being able to help senior managers with precision, professionalism, and efficiency with almost no prior experience was really challenging.

My missions

My main task focused on the development and improvement of analytical and reporting tools, mainly via Excel and PowerPoint, used by private bankers and management teams. These missions aimed at facilitating the monitoring of portfolio performance and the interpretation of market trends.

More specifically, my responsibilities included the design of presentations and analytical materials to close every trimester. Those presentations were crucial for the bank, and I had to make them fast with no error margin. I repeated the operation for every manager with their own suggestions and special demands.

Concretely, I had to take the results from internal tools, bring them into multiple Excel files, rework the data, and make multiple indicators and graphs highlighting the results of each banker and compare them to one another. Then, I needed to repeat the operation for every manager and compute all the graphs in one presentation.

Required skills and knowledge

This internship required a solid understanding of the banking industry; analytical skills were necessary to interpret financial data and translate it into meaningful indicators. In addition, great use of Excel and presentation tools was essential to build clear and structured reporting materials.

Now for the soft skills, the role required rigor, adaptability and the ability to communicate effectively with professionals having different levels of technical expertise. For the most part they had a very deep knowledge of the business but were a bit less skilled in Excel and the different tools used for monitoring. The synergy was great since they made me learn about Private banking and management, and I helped them with the technical part.

What I learned

This internship provided valuable insights into how private banking operates on a daily basis. I learned how performance is monitored, how market and geopolitical information is used for decisions, and how analytical tools support client-oriented strategies.

Financial concepts related to my internship

I present below three financial concepts related to my internship: Assets Under Management (AUM), Portfolio Performance Measurement and Currency Risk, and Interest Rate Spreads and Bank Profitability.

Assets Under Management (AUM)

Assets Under Management (AUM) is a key indicator in private banking, it is the total value of client assets managed by a banker or a region for example. During my internship, AUM was very important in reporting tools, it helps me measure business size and prepare future budget and objectives. It is also useful for comparisons between regions of different sizes by adjusting performance indicators to the amount of assets managed, which was essential in the dashboards and presentations I worked on.

Portfolio Performance Measurement and Currency Risk

Another important concept is portfolio performance measurement, which is essential to monitor investment results and support advisory decisions. Through my reporting work, I learned that performance depends not only on asset returns but also on external factors such as currency risk. For example, in 2025, strong returns from US equities like the S&P 500 has been reduced for European investors because of to the depreciation of the US dollar against the euro. This shows the importance of integrating FX effects for performance analysis.

Interest Rate Spreads and Bank Profitability

Interest rate spreads are crucial for the bank profitability; it is the difference between borrowing and lending rates. Changes in monetary policy and market rates have a huge impact on the bank’s net interest revenue. In private banking, the interest rate environment influences client allocations, which is why these macro indicators were often included in the monitoring presentations I prepared.

Why should I be interested in this post?

For finance students, I would say that private banking offers a unique perspective on financial markets, portfolio management and client advisory.

This type of internship is particularly relevant for students interested in careers in asset management, wealth management, advisory roles, or bankers. It opens a lot of doors and allows you to meet the top of the managing chain in a competitive environment.

Related posts on the SimTrade blog

   ▶ All Professional Experiences

   ▶ Bryan BOISLEVE My internship experience as a Counterparty Risk Analyst at Société Générale

   ▶ Hélène VAGUET-AUBERT Private banking: evolving in a challenging environment

   ▶ Alberto BORGIA My Experience as a Wealth Management Intern at Nextam Partners – SimTrade blog

   ▶ Samia DARMELLAH My Experience as a Credit Risk Portfolio Analyst at Société Générale Private Banking

Useful resources

Société Générale Private Banking Découvrez la Banque Privée Société Générale

Société Générale Q4 2024 Financial Results restated quarterly series

About the author

The article was written in February 2026 by Mathis HOUROU (ESSEC Business School, Global Bachelor in Business Administration (GBBA)).

   ▶ Discover all articles by Mathis HOUROU.

My AMF Journey from preparing for the exam to receiving the certificate

Mathilde JANIK

In this article, Mathilde JANIK (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2021-2025) shares her experience taking the AMF Exam.

First of all let’s begin by presenting what the AMF (Autorité des Marchés Financiers) is and how the entity AMF differs from the AMF certification. The AMF is the Financial Markets Authority in France and its main mission is to ensure the proper functioning of financial markets, protect the savings invested in them, and ensure that investors are provided with adequate information.The AMF is the second regulatory authority for financial institutions, alongside the ACPR. The ACPR is responsible for the approval and prudential supervision of insurance companies, pension funds, credit institutions, and investment firms. The ACPR is also responsible for protecting the customers of these institutions with regard to banking and insurance transactions, as well as ensuring compliance with anti-money laundering and counter-terrorist financing rules.

The AMF missions, powers, and operating procedures are defined in the Monetary and Financial Code (Code Monétaire et Financier or CMF). A great part of regulation on financial markets and the investment services industry is defined at the European level with the ESMA (European Securities and Markets Authority). The AMF completes them within its General Regulations with rules of good conduct and organization, particularly for portfolio management companies. It monitors compliance with regulations by regulated professionals.

Brief introduction to the AMF certifications

The AMF issues professional licenses to compliance officers at investment firms. Here, we will focus on the actual AMF exam and its importance for professionals working with financial markets in France. In order to provide financial market participants with a consistent and common foundation of knowledge in the areas of finance, regulation, ethics, and sustainable finance, two certification systems have been implemented. The first certification, called “l’Examen AMF” is recognized everywhere in France and is a professional certification. There is also what’s called an internal certification provided by some employers in France, this option, which is only available to investment service providers, including management companies, is only valid within the same group. If the person who has passed the internal assessment changes groups, they will have to take the internal assessment organized by their new employer again, or take the AMF exam. There is another certification delivered by the AMF which is called “L’examen AMF Finance Durable” which is specifically tailored to professionals providing services or products linked to sustainable finance. It provides general knowledge on the regulative and economic side of sustainable finance and prepares to gather durability and sustainability preferences of customers in order to offer tailored solutions adapted to their needs. This article is made to provide a bit more information and to share my experience taking this exam, as it may be of interest to many of you who want to work in finance in France.

About the AMF Certification

The exam consists of a MCQ of 120 questions and to pass this exam and receive the certification you need at least 80% of good answers for questions relating to financial literacy and for questions relating to knowledge deemed essential to the practice of the profession (mainly legal knowledge or knowledge relating to professional ethics). The exam length is 2 hours but you don’t have to stay during the whole exam if you finish earlier. On the date where this article is published, 13 organizations in France are certified to organize the exam. I will provide the links under the section “useful resources” below. I personally prepared for this exam with Lefebvre Dalloz Education. As they provide a partnership with ESSEC we have a discount on the package for the course as well as the exam session.

The professionals who need to pass the exam are professionals exercising under the authority of an investment service provider, including portfolio management companies, or act as financial investment advisors.

Within the investment service provider, not all positions require the AMF Exam or the internal equivalent exam, there are 8 functions that require this exam; salespeople, managers, financial instrument clearing officers, post-trade officers, financial analysts, financial instrument traders, compliance and internal control officers (RCCI), and compliance officers for investment services (RCSI). On top of that, independent or employed financial advisors are now required to pass the AMF exam to advise customers on financial products. Something very important to mention is also that no diploma in France is equivalent to the AMF, therefore, no matter which educational background you may have, you need the AMF certificate to work in the functions aforementioned.

My personal experience

First of all, I would like to explain why I decided to apply for this certificate. I’m currently finishing my apprenticeship as a personal banker in a regional bank in France, during which I discovered financial advisory for personal customers and small businesses. This apprenticeship has driven a strong interest towards portfolio management and how to tailor financial products as solutions depending on the client’s needs and wants. That’s the reason why I decided to pursue a future career in wealth management and to take a step in that direction. I’m doing an internship as a wealth manager assistant from January 2026 onwards. In order to make this experience more efficient, I decided to take the exam before the start of my internship in order to be operational by January 2026 in my functions.

I registered for the AMF in late August 2025 and I passed the exam in late September. I tried to keep a steady study schedule each week and practice lessons at least 3 times a week. I reviewed each theme in details with quizzes at the end of each section, here is the list of themes present in the exam:

  • French, European, and international institutional and regulatory framework
  • Ethics, compliance, and ethical organization of institutions
  • Financial security
  • Market abuse regulations
  • Marketing of financial instruments: rules governing banking and financial solicitation, distance selling, and customer advice Customer relations and information
  • Financial instruments, crypto-assets, and their risks
  • Collective management and management on behalf of third parties
  • Market functioning and organization
  • Post-market and market infrastructure
  • Issues and transactions in securities
  • Accounting and financial fundamentals

Key Takeaways: Skills and Mindset

In terms of studying, depending on your background with finance, it may be more difficult to remember everything if the subjects mentioned are completely new. Personally, I did 3 weeks of studying before passing the exam, but most of the notions to be acquired were already familiar to me as I saw them throughout my apprenticeship.

The themes where I struggled the most were the ones related to the different institutions, jurisdictions and their areas of applications, sometimes I mixed the different institutions and what they were responsible for. The section on collective management or on third parties’ behalf was also a bit of a struggle to me as they were not the usual financial solutions we offered to clients.

The most useful study techniques for me were constant practice and quizzes, first I would read all the information per theme, then I would quiz myself on as many questions as possible, and I also did an “error log” in which I would write every time I made a mistake what the mistake was and what was the right answer. It helped me tailor my study session depending on where my weaknesses were. Once I finished the exam, the most exciting part was the email confirming I passed the exam. When I saw the green “Successfully Passed” sentence, it was a moment of true relief and accomplishment. I received my official certificate shortly after, marking the end of my AMF journey and the start of a new chapter where I can apply this critical knowledge.

Key Takeaways: Skills and Mindset

My preparation for the AMF exam highlighted two essential professional skills: discipline and the ability to embrace regulation as a foundation, not a barrier. The exam is less about innate intelligence and more about consistent, structured effort. The disciplined three-week schedule, combined with the detailed “error log,” was crucial. This study strategy translates directly to the finance world: successful wealth management or banking relies not on a single spectacular trade or transaction, but on the daily, meticulous adherence to process and continuous learning from mistakes. This consistency is the greatest soft skill I gained from the process. Before the exam, it’s easy to view the complex institutional and legal frameworks as merely regulatory hurdles. The real takeaway, however, is that this knowledge is the absolute foundation of professional trust. Understanding the nuances of customer relations and information, market abuse regulations, and professional ethics isn’t just about passing a test, it is about ensuring the integrity of the financial advice provided. For my future role as a wealth manager assistant, the AMF certificate means I can confidently structure solutions knowing they are compliant, ethical, and designed to protect the client’s interests first.

Why should I be interested in this post?

I would strongly advise any student interested in client-facing or advisory roles in French finance to approach this exam with a structured plan and a focus on understanding the spirit of the law rather than just memorizing facts. The certificate doesn’t just grant you the right to advise; it grants you the responsibility to do so ethically.

Related posts on the SimTrade blog

   ▶ Akshit GUPTA AMF

   ▶ Mahé FERRET Selling Structured Products in France

Useful resources

Autorité des Marchés Financiers (AMF) The AMF at a glance.

Autorité des Marchés Financiers (AMF) Guide sur l’examen AMF généraliste et finance durable .

Autorité des Marchés Financiers (AMF) Certification professionnelle AMF en matière de Finance durable .

Autorité des Marchés Financiers (AMF) Certification professionnelle AMF en matière de Finance durable Transcription textuelle.

Lefebvre Dalloz Compétences. Certification professionnelle AMF

Autorité des Marchés Financiers (AMF) European supervision of capital markets: the AMF calls for an enhanced role for ESMA to promote a true Savings and Investments Union

Autorité de contrôle prudentiel et de résolution (ACPR) (2024) Rapport annuel du pôle commun AMF-ACPR 2024

Autorité de contrôle prudentiel et de résolution (ACPR) (2024) Qui sommes-nous ?

About the author

The article was written in February 2026 by Mathilde JANIK (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2021-2025).

   ▶ Discover all articles written by Mathilde JANIK.

Randomness game

Randomness Game

The pedagogical objective of this game is to help you become familiar with randomness. At each trial, you must choose between Head and Tail. At the same time, the simulator independently chooses Head or Tail with equal probability (50%). If the two choices coincide, you win the trial. You have trials in total. Try to beat randomness. Good luck.

Your choice
Simulator choice
?
Head or Tail
Trial 0 /
Your last choice
Simulator last choice
Result
Score 0 / 0

My Personal Experience in Marketing, and How It Links to Finance

Guylan ABBOU

In this article, Guylan ABBOU (ESSEC Business School, Global Bachelor’s in Business Administration (GBBA) – Exchange Student, 2025) shares his professional experience in marketing and explains how it connects to finance.

Introduction

Hello, my name is Guylan. While studying marketing in Spain, I completed several internships across marketing departments. I interned in four roles across internal marketing, content, and B2B growth: at Bolletje (Netherlands), I created factory-floor packaging norm sheets to reduce errors and waste; at Rejolt (France), I helped onboard partners to a B2B2B catering/events platform and contributed to a CSR label; at Descapada/Grupo Masala (Spain), I prospected B2B partners in new markets and supported targeted campaigns; and in a local clinic in Granada, I produced content and campaign materials for social channels. Those roles taught me how to navigate a professional environment and, more importantly, how different areas of a company connect: marketing, Human Resources (HR), finance, and operations don’t sit in silos; they shape each other’s outcomes every day. I decided to take the SimTrade course at ESSEC to practice disciplined decision-making under pressure and to build habits I could apply back to marketing.

When marketing picks up the HR baton (internal marketing)

In many firms, headcount pressures have shrunk traditional HR teams. Some companies outsource HR; others reassign parts of it, culture initiatives, internal communication, and employer branding to marketing. Marketers are trained to communicate clearly, align people, and move them to action. What works just as well inside the company as outside it.

At Bolletje for example, my internal marketing work focused on aligning teams on quality and execution. In practice, this included organizing cross-department discussions to reduce friction between production, quality, and operations; translating quality standards and product updates into clear, usable guidelines for factory teams; and supporting internal communication to clarify priorities, reinforce standards, and make expectations visible on the production floor.

Consumers rarely see this work, yet it’s critical. Internal marketing improves employee perception and strengthens execution: clearer priorities, faster coordination, and fewer dropped handoffs. That “invisible” efficiency shows up later in lower churn, better customer experience, and higher lifetime value. And that is exactly where finance enters the story.

Marketing ↔ Finance bridge

Finance focuses on cash flows and risk; marketing shapes both. The points below describe how common marketing situations translate into finance-oriented views.

Demand signals and market depth

In digital marketing, demand appears through search trends, click-through rates, and conversions. In finance, the order book displays supply and demand at each price level. Looking beyond surface metrics to factors such as audience saturation, competitive pressure, and funnel health provides an analogue to market depth.

Pricing, promotion and order types

In marketing, discounts and launch timing influence volume and margin. In trading, the contrast between market and limit orders represents urgency versus price discipline. The parallel highlights how conditions and thresholds determine when value is created or eroded.

The execution gap (slippage)

The difference between plan and live results constitutes an execution gap. In markets, this is slippage between expected and actual fill; in campaigns, it appears as divergence between forecast and realized metrics, often tied to targeting, timing, or creative constraints.

Risk management & guardrails

Marketing spends, like a portfolio, aggregates position-level risks. Guardrails, such as budget caps, pause thresholds (e.g., a customer acquisition cost level sustained over several days), time boxes, and brand-safety filters; define the acceptable risk envelope before execution begins.

Experimentation discipline

Attribution depends on isolating variables. Changing a single factor at a time and documenting a brief hypothesis, metric, result, and follow-up preserves causal clarity. Clean experimentation produces forecasts that map more directly into credible budgets.

Marketing and the economy

Marketing is more than ads or catchy lines. It is how useful ideas travel from creators to people who need them. When a product’s promise is explained in simple words, what it is, who it helps, and why it’s better, adoption speeds up. Faster adoption of good solutions raises productivity for everyone: households save time and money, and companies run more efficiently. New products often fail because no one understands them; good marketing teaches the market about the problem, the solution, and the proof. Clear, repeated messaging shortens the education curve and helps innovations become normal faster.

Case study: Bolletje, an internal marketing project

Last summer, I was employed by a Dutch company named Bolletje for an internal marketing task: how to communicate the standards of the company to all employees, to increase the quality of all products made, and to reduce waste by giving clear guidelines and instructions.

Logo of Bolletje.
Bolletje logo
Source: the company.

Company snapshot

Bolletje is a long-standing Dutch bakery brand best known for Beschuit (rusk), crackers/crispbread, and seasonal biscuits like kruidnoten, usually sold between September and December (for Sinterklaas, Dutch St-Nicolas). The brand’s roots trace back to the 19th century; today, it operates from Almelo in the east of the Netherlands. Beyond rusks, Bolletje’s range spans everyday “bread replacers” Dutch consumers keep in the pantry, as well as sweet treats. In 2013, Bolletje joined Germany’s Borggreve group.

Selected Bolletje products.

Bolletje logo
Source: the company.

My task (more depth)

My task, very concretely, was to design a packaging norm sheet, a clear, visual reference displayed for all factory employees on the production floor. The goal was twofold: first, to help operators correctly adjust the different types of packaging machines they use every day; second, to make sure everyone shares the same understanding of the quality standards expected from a brand that is widely recognized in the country for its high quality. The sheet set out, in simple terms and with pictures where useful, what “good” looks like for each product and pack, so that a worker can quickly check settings, compare what they see in hand to the standard, and correct issues before they become waste.

Just as important, the norm sheet explained when a product must be rejected and why. For example, if a seal is incomplete, a label is misaligned, or a pack is damaged, even if the food inside seems fine. For each type of defect, it also included a short “what to do next” section, describing the remediation steps to fix the root cause: which knob to adjust, which sensor to clean, which film tension to change, or when to call a line leader or maintenance. By making the decision rules explicit (keep, rework, or discard) and by linking each rule to a practical fix, the sheet helped reduce both food waste and packaging waste. In short, it turned quality standards into everyday actions: the right settings up front, faster problem detection, smarter corrections, and fewer products thrown away.

What I learned

I learned that clarity beats volume. People don’t need a thick manual; they need one clear page that shows exactly what “good” looks like. When the standards are written in plain words and supported by photos, operators can check, adjust, and move on without guessing. Because the company employs some foreign workers, photos and simple phrases were far more helpful than complex written instructions. Putting the norm sheet at the point of work, right next to the machine, also matters. If the guide is visible where decisions happen, it actually gets used.

I also saw that rules work better when they include the reason, not just the instruction. The “why” increases compliance. Alongside that, making the choices explicit (keep, rework, or discard) reduces hesitation. For each defect, pairing the decision with a short fix (adjust heat, clean the sensor, change film tension, call maintenance) turns standards into action and cuts waste.

Another lesson was to build the standard with the people who use it. Operators and line leaders know the real problems and edge cases. Co-creating the sheet with them made it more accurate and kept it alive after my project ended. Small visuals were surprisingly powerful: a couple of photos of correct and incorrect packs removed long debates on the line, sped up decisions, and reduced stoppages.

Measurement closed the loop. Tracking a few simple indicators and the most common defect types showed where the process truly struggled and which fixes worked. Training also worked best in the flow of work: two-minute huddles at the machine were more effective than long classroom sessions far from the line, because people could apply the information immediately.

Finally, I learned the importance of small details, and the importance in general of having as much information as possible. One example of a small detail was that products could have lower quality just because of one small change in the quality of the ingredients, like having less protein in the flour bought, or the heat of the oven not being perfectly evenly distributed. Those small details, those small pieces of information, can cause great change in the perception consumers might have over a company, changing, of course, the perception investors will have of it. To conclude, many people in the financial industry claim that the stock market is uncertain, changing without apparent reason. I would reply that maybe the information wasn’t used well enough, or that we didn’t look for it carefully enough. Like a butterfly effect, one very small event can cause great damage to the financial structure of the company. For example, a person with influence online could have an unlucky experience with your company, and by talking about it and by rumors, a company could suffer greatly.

Closing: how the SimTrade habits transfer

I took SimTrade to practice decisions under pressure. The habits I use every day now are simple: define entry conditions before spending, set guardrails to control risk, measure the gap between plan and reality, and write short post-mortems so the team learns fast. Those same habits made my factory-floor project calmer, clearer, and more effective, and they make marketing outcomes easier for finance to trust.

Find related posts on the SimTrade blog

   ▶ All posts about Professional experiences

   ▶ Alexandre VERLET Classic brain teasers from real-life interviews

Useful resources

bolletje Company’s website

About the author

The article was written in January 2026 by Guylan ABBOU (ESSEC Business School, Global Bachelor’s in Business Administration (GBBA) – Exchange Student, 2025).

   ▶ Discover all articles by Guylan ABBOU

From IAS to IFRS: How International Accounting Standards Shape Financial Reporting

Maxime PIOUX

In this article, Maxime PIOUX (ESSEC Business School, Global Bachelor in Business Administration (GBBA) – 2022-2026) explains the importance of international accounting standards and highlights the key differences that finance and business students should be aware of.

Why International Accounting Standards

Financial statements are the primary source of information used by investors, managers, and other stakeholders to assess a company’s financial position and performance. However, without common accounting rules, it would be difficult to compare the results of two companies operating in different countries and industries. International accounting standards were developed to address this challenge.

In a context of globalization in financial markets, international accounting standards aim to harmonize accounting practices in order to ensure better comparability between companies regardless of their country or sector. These rules also play a key role in financial transparency. By defining how transactions should be recorded, measured, and presented, they enhance transparency and reduce information asymmetries (situations in which some parties, such as investors, have less information than others about a company’s actual financial situation).

Finally, international accounting standards help improve the quality of financial reporting by imposing disclosure requirements in the financial statements and their notes. These guidelines therefore provide more reliable and consistent financial information, facilitating economic decision-making and strengthening market confidence, as highlighted by Richard Grasso, former Chairman of the NYSE (New York Stock Exchange, the main American stock exchange), “It should strengthen investors’ confidence. This is done through transparency, high quality financial reports, and a standardized economic market.”

IAS: First International Accounting Standards and reference framework

The first international accounting standards to emerge were the IAS (International Accounting Standards), developed from 1973 by the International Accounting Standards Committee (IASC). This international organisation, composed of representatives from multiple countries, was responsible for developing accounting rules applicable worldwide by proposing a common accounting framework.

The IAS were created to meet the needs of investors and markets for reliable, transparent, and consistent information. They cover numerous areas and provide detailed rules on how to account for and present financial transactions and events. Initially, they primarily concerned multinational companies and listed entities seeking to publish financial statements comparable internationally. At the beginning, their application was often voluntary, but some jurisdictions gradually required their adoption.

IFRS: the emergence of a modern international accounting framework

In 2001, the International Accounting Standards Board (IASB) replaced the IASC, representing a significant shift with the former committee. While the IASC focused mainly on developing voluntary standards to harmonize accounting practices, the IASB introduced a more structured, rigorous, and coherent framework, with a mission to supervise and continuously develop international standards in order to strengthen their adoption and credibility worldwide. The IFRS (International Financial Reporting Standards) were born from this process. Their primary objective is similar to that of the IAS: to improve the reliability and comparability of financial statements. However, IFRS go further by imposing a uniform framework with precise principles. They aim to provide a single accounting reference, ensuring that all relevant companies present their financial transactions and events transparently and in a standardized way.

Today, IFRS apply to a wide range of companies, mainly listed and multinational entities, but some countries have adopted them for all companies. In the European Union, for example, all listed companies must prepare their consolidated financial statements according to IFRS, while in other countries, such as the United States, IFRS may be applied voluntarily or for certain subsidiaries of international groups.

To better understand the purpose of IFRS, it is useful to remember three fundamental principles these standards adhere to:

  • Completeness: Financial statements must reflect the company’s entire activity and limit off-balance-sheet information.
  • Comparability: Financial statements are standardized and identical for all companies.
  • Neutrality: Standards should not allow companies to manipulate their accounts.

The application of these standards today

Today, IFRS constitute the main framework for international accounting standards, used in 147 countries (98% of European countries and 92% of Middle Eastern countries). Some IAS, developed before 2001, continue to apply (such as IAS 1 on the presentation of financial statements) as long as they have not been replaced by an equivalent IFRS.

In France, the application of IFRS is mandatory for all listed companies, particularly for the preparation of their consolidated financial statements. Large unlisted companies and certain mid-sized enterprises can also choose to apply them in order to harmonize their international reporting, although this is not compulsory. In contrast, SMEs remain largely subject to the French General Accounting Plan (PCG “Plan Comptable Général”), which provides simplified rules suited to their size and structure.

Impact of IFRS

The impacts of IFRS on companies have been numerous and have varied by industry. However, overall, these impacts have remained relatively limited. For instance, according to a FinHarmony study on the transition to IFRS, the equity of CAC 40 companies changed by only 1.5%.

Three IFRS standards that have led to significant changes in corporate accounting are presented below.

IFRS 16: Leases in the Balance Sheet

Before the introduction of IFRS 16 in January 2019, the accounting treatment of leases was governed by IAS 17 (leases). This standard distinguished between two types of leases:

  • Finance leases, for example when a company leases a machine with a purchase option, for which the company recognized an asset corresponding to the leased item and a liability corresponding to future lease payments.
  • Operating leases, for example when a company rents office space, which were recorded as expenses in the income statement and remained off-balance-sheet.

With IFRS 16, this distinction disappears for most leases: now, all leases must be recognized in the balance sheet as a “right-of-use” asset and a lease liability. The only exceptions are short-term leases (less than 12 months) or leases of low-value assets (less than 5,000 USD). This reform aims to improve the transparency and comparability of financial statements by reflecting all lease obligations on the balance sheet.

As a result, companies with numerous operating leases, such as retail chains or airlines, have seen their assets and liabilities increase significantly, thereby affecting certain financial ratios and indicators (such as debt-to-assets or EBITDA).

Let’s take the example of an airline that leases 10 aircraft under operating lease contracts, with a total annual rent of €10 million over a 10-year period. The company generates revenue of €500 million, an EBITDA of €100 million, and has debt of €250 million.

  • Before IFRS 16, these contracts were classified as operating leases, with an annual lease expense of €10 million recorded in the income statement and no recognition on the balance sheet, despite this significant long-term financial commitment.
  • With IFRS 16, the company must now recognize a right-of-use asset on the balance sheet (corresponding to the present value of future lease payments) along with a lease liability of the same amount. Assuming a discount rate of 2%, the present value of the lease payments over 10 years is approximately €90 million, recorded as both an asset and a liability.
    In the income statement, the lease expense is replaced by depreciation expenses on the right-of-use asset and interest expenses on the lease liability.

The EBITDA, which excludes depreciation and interest, therefore increases to €110 million, compared to €100 million under the previous treatment. The former annual lease expense of €10 million no longer affects EBITDA because it has been replaced by depreciation and interest. However, the apparent leverage increases significantly, as the lease liability rises by €90 million (from €250 million to €340 million). Consequently, the debt-to-EBITDA ratio, for example, moves from 2.5 (250/100) to 3.1 (340/110), which can affect the perception of investors and banks.

This example illustrates that the increase in EBITDA and debt results from a change in accounting standards rather than a real improvement in the company’s economic performance.

IFRS 13: Historical Cost vs Fair Value

A significant change introduced by IFRS 13 in January 2013 concerns the measurement of assets and liabilities. Indeed, under certain IAS and in many national practices, assets were often recorded at historical cost, meaning their original purchase price.

By contrast, IFRS 13 promotes the concept of fair value, which represents the price at which an asset could be sold in a market at the closing date.

Fair value accounting can lead to significant fluctuations in the balance sheet and income statement, particularly for companies holding financial assets, securities, or significant real estate, as it reflects market variations. Companies in sectors such as finance, real estate or hotel industry may thus see their balance sheets and financial ratios change from one period to another, reflecting market realities. However, this approach provides a more realistic and transparent view of the financial situation.

Let’s take the example of a real estate group that owns a portfolio of buildings recorded at a historical cost of €500 million. In other words, the total purchase price of all the group’s buildings amounts to €500 million, whether they were acquired recently or several years ago. The company also has a bank debt of €200 million.

  • Before IFRS 13, the buildings were recorded under “property, plant, and equipment” in non-current assets at their historical cost of €500 million, regardless of changes in the real estate market. Equity and financial ratios therefore reflected this fixed value, without taking market fluctuations into account.
  • With the application of fair value as defined by IFRS 13, buildings are now valued at their market value at the reporting date. This fair value corresponds to the price at which the asset could be sold under normal market conditions and is generally estimated using real estate appraisals or comparable transactions.

Let’s assume that the current market value of the portfolio is €600 million. The balance sheet increases by €100 million in assets and equity. In practice, this revaluation directly affects certain financial ratios. For example, the debt-to-equity ratio decreases from 0.4 (200/500) to 0.33 (200/600). Investors and banks then perceive the company as less leveraged and with a larger asset base, even though the company’s actual operating activity has not changed.
By contrast, if the market value drops to €400 million, equity decreases by €100 million, and the debt-to-equity ratio rises from 0.4 to 0.5 (200/400), which could negatively affect the perceived risk of the company.

This example illustrates that fair value accounting more accurately reflects the current economic situation of assets, but leads to visible fluctuations in the balance sheet and financial ratios.

IFRS 15: Revenue from Contracts with Customers

IFRS 15, which came into effect in January 2018, replaced IAS 18 (Revenue) and IAS 11 (Construction Contracts), introducing a single and standardized approach to revenue recognition.

Before IFRS 15, revenue was recognized differently depending on its nature:

  • Under IAS 18, revenue from goods was recognized at delivery, and revenue from services was recognized at the time they were performed.
  • Under IAS 11, revenue from construction contracts was recognized over time based on the percentage of completion of the project.

With IFRS 15, revenue recognition is based on a single principle: the transfer of control of the good or service to the customer, regardless of physical delivery. In other words, revenue is recognized when the customer obtains control of the good or service. In practical terms, this means:

  • For goods sold, revenue is recognized when the customer can use the item and benefit economically from it.
  • For services (subscriptions or IT services for instance), revenue is recognized progressively as the service is provided, in proportion to the progress or consumption by the customer, rather than at the end of the contract or at invoicing.
  • For construction contracts, revenue is allocated to each stage of the contract as the customer gains control of the corresponding performance.

This approach standardizes revenue treatment across all sectors and reduces discrepancies between companies and countries. IFRS 15 has changed the way companies record revenue in the income statement. Some transactions must now be spread over time, while others can be recognized more quickly, depending on when the customer obtains control of the good or service. The most affected sectors are construction, technology, telecommunications, and services. This standard therefore improves comparability and transparency of revenue, enabling investors and financial analysts to better understand a company’s actual economic performance.

Let’s take the example of a construction company that signs a contract to renovate a residential complex for a total amount of €50 million, over a period of 2 years. Let’s suppose the total estimated cost of the project is €20 million.

  • Before IFRS 15, revenue recognition could differ depending on the applicable standard: under IAS 11, revenue was generally recognized progressively based on the percentage of completion of the project, but some companies could wait until invoicing or delivery to record revenue. This could lead to divergent practices, for example recognizing revenue too early to artificially improve performance, or on the contrary, postponing revenue to smooth results.
  • With IFRS 15, revenue recognition is based on the unique principle of transfer of control to the customer. In practice, this means that the company must recognize revenue as the customer obtains control of the work performed, even if payment has not yet been received.

Let’s assume that, at the end of the first year, 60% of the work is completed and the customer can use this part of the complex: the company will then record €30 million of revenue (60% of the total contract) in its income statement, and the corresponding costs of €12 million (60% of the project costs). The net profit for this part of the project is therefore €18 million (30 – 12).
On the balance sheet, assets increase by €30 million: in cash if the customer has already paid, or in accounts receivable if payment has not yet been received. Equity increases by €18 million, corresponding to the net income from this portion of the project. On the liabilities side, a trade payable of €12 million is recorded, corresponding to costs incurred but not yet paid. This debt will disappear when the company pays its suppliers, reducing cash and maintaining the balance sheet equilibrium.

This approach allows the financial statements to more accurately reflect the economic reality of the contract and makes results more transparent for investors. Without this method, revenue for the first year could have been zero, thus hiding the true performance of the project.

What about US GAAP ?

In addition to IFRS, there are also US GAAP (Generally Accepted Accounting Principles), which constitute the accounting framework used in the United States (US). US GAAP are mandatory for all U.S. listed companies, as IFRS are not permitted for the preparation of financial statements of domestic companies. However, foreign companies listed in the United States may publish their financial statements under IFRS without reconciliation to US GAAP.

US GAAP have existed since 1973 and are developed by the Financial Accounting Standards Board (FASB). They are based on a more rules-based approach, with a much larger volume of standards and interpretations than IFRS, often estimated at several thousand pages (compared with only a few hundred pages for IFRS). This approach reduces the degree of judgment and interpretation but makes the framework more complex.

Why should I be interested in this post?

Understanding the differences between IAS and IFRS standards is essential for any student in finance, accounting, auditing, or corporate finance who wishes to pursue a career in finance. International accounting standards directly influence how companies present their financial performance, measure their assets and liabilities, and communicate with investors. Mastering these concepts makes it easier to read and understand financial statements and to develop a more critical view on a company’s actual performance.

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   ▶ Samia DARMELLAH My experience as an accounting assistant at Dafinity

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   ▶ Alessandro MARRAS My professional experience as a financial and accounting assistant at Professional Services

   ▶ Louis DETALLE A quick review of the Audit job

Useful resources

IFRS

FASB

US GAAP vs IFRS

YouTube IFRS 16

YouTube IFRS 13

YouTube IFRS 15

Academic resources

Colmant B., Michel P., Tondeur H., 2013, Les normes IAS-IFRS : une nouvelle comptabilité financière Pearson.

Raffournier B., 2021, Les normes comptables internationales IFRS, 8th edition, Economica.

Richard J., Colette C., Bensadon D., Jaudet N., 2011, Comptabilité financière : normes IFRS versus normes françaises, Dunod.

André P., Filip A., Marmousez S., 2014, L’impact des normes IFRS sur la relation entre le conservatisme et l’efficacité des politiques d’investissement, Comptabilité Contrôle Audit, Vol.Tome 20 (3), p.101-124

Poincelot E., Chambost I., 2015, L’impact des normes IFRS sur les politiques de couverture des risques financiers : Une étude des groupes côtés en France, Revue française de gestion, Vol.41 (249), p.133-144

About the author

The article was written in February 2026 by Maxime PIOUX (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2022-2026).

   ▶ Read all articles by Maxime PIOUX.

My internship as a Junior Financial Auditor at KPMG

Maxime PIOUX

In this article, Maxime PIOUX (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2022-2026) shares his professional experience as a junior financial auditor at KPMG.

About the company

KPMG is an international audit and advisory firm founded in 1987, operating in more than 145 countries and employing over 275,000 professionals worldwide. It is part of the Big Four, alongside Deloitte, PwC and EY, which represent the leading global players in audit and advisory services.

The KPMG network supports organizations of all sizes, from small and medium-sized enterprises to large international groups, as well as public sector institutions. Its activities are primarily structured around three core business lines: audit, advisory, and accounting and tax services. Audit represents a central pillar of the firm, playing a key role in the reliability of financial information and in maintaining investor confidence in financial markets. In addition, KPMG has expanded its expertise into areas such as artificial intelligence, digital transformation, risk management and innovation, in order to address the evolving challenges of the contemporary economic environment.

In 2024, KPMG International generated revenues of USD 38.4 billion, distributed across advisory (42.5%), audit (35%), and tax and legal services (22.5%). In France, the firm reported revenues of EUR 1.55 billion, representing approximately 4% of global revenues.

Finally, KPMG became a mission-driven company in 2022, with the objective of contributing to a more sustainable and responsible form of prosperity by integrating social, environmental and ethical considerations into its activities.

Logo of KPMG.
Logo of KPMG
Source: KPMG

My internship

I completed a six-month internship at KPMG Audit, in the Consumer, Media & Telecommunications (CMT) Business Unit. This department is key and dynamic within the firm, bringing together a significant number of partners and professionals specialized in audit engagements for companies operating in these sectors. Due to the size and diversity of its client portfolio, I have worked with different teams for companies of various sizes and with different business models.

A specific feature of working within an audit firm such as KPMG is the dual work environment, which combines assignments carried out directly at clients’ premises and tasks performed at KPMG’s offices, located at the Eqho Tower in La Défense. This organization facilitates better interaction with client teams while providing a collaborative working environment.

My missions

The tasks assigned to me were those typically entrusted to a junior auditor. They mainly consisted of internal control testing, which represents a core responsibility at the junior level and involves designing and formalizing controls, collecting information from client teams, and documenting the results in audit working papers. I worked across all audit cycles, with a particular focus on operating expenses (OPEX), revenues and fixed assets. I also participated in analytical reviews, aimed at analyzing the company’s business activity over a financial year, as well as impairment tests, which involved identifying and proposing potential accounting adjustments to clients. Finally, I was also asked to suggest improvements and automation solutions for Excel files used in certain time-consuming audit procedures, with the objective of smoothing audit work and improving overall efficiency.

Required skills and knowledge

Working in audit requires both strong technical skills and behavioural qualities suited to a demanding environment. At the beginning of an internship, it is essential to demonstrate commitment, rigor, and patience, as some tasks assigned to junior staff can be repetitive but are crucial to the proper execution of audit engagements, particularly tick-and-tie procedures and internal control testing. These initial assignments represent a key step in the learning process and provide an opportunity to demonstrate professionalism, reliability and work quality, which subsequently determines access to more stimulating and higher value-added tasks.

From a hard skills perspective, strong proficiency in Excel is essential, as this tool is used daily to analyze, structure, and process financial data. Solid foundations in financial accounting and a good understanding of financial statements are also required. Rigor in the preparation of clear, well-structured, and well-documented working papers is critical, as these documents constitute the core support of audit work.

In terms of soft skills, flexibility and adaptability are key. Junior auditors are required to work with different teams, on multiple engagements sometimes in parallel, and to adapt to new tools and software, whether internal to the firm or client specific. Communication is also essential, particularly to keep his in-charge informed of the progress of the work. Finally, a strong willingness to learn, commitment, and a sense of responsibility are essential qualities for progressing quickly in such a demanding environment.

What I learned

Audit is a particularly formative field, allowing to develop a rigorous work methodology and processes applicable in many professional environments. During my internship, I first developed strong technical and analytical skills. I used Excel and the firm’s internal workflows on a daily basis to document and report audit work. I also occasionally used tools such as SAP or BFC during client missions.

Beyond technical skills, this experience taught me how to structure my reasoning and develop a critical mindset when analyzing financial information. Audit work required me to question the numbers, understand their origin, and analyze their consistency across different cycles.

The internship also allowed me to develop essential professional and interpersonal skills, such as rigor, adaptability and team spirit. Working within different teams and on multiple missions taught me how to organize myself efficiently, manage priorities, and perform effectively in demanding periods, particularly during phases of high intensity related to the finalization of audit work before the signing and certification of the accounts.

Audit concepts related to my internship

I present below three concepts related to my internship:

The central role of training

I was impressed by the importance placed on training at KPMG. Every employee, regardless of their level, begins their journey with an intensive one-week training, followed by several days of online modules and numerous e-learnings throughout the year. For instance, during my internship, in addition to the initial training week for interns, I completed around ten e-learning modules over the six months, which enabled me to deepen my technical and regulatory knowledge while familiarising me with the company’s expectations. These trainings cover technical skills, such as accounting standards, obligations for listed companies, as well as ethics and compliance rules. Additional sessions are also provided at each promotion to further deepen knowledge and skills.

Completing these trainings is considered as important as the quality of daily work. In cases of repeated delays or missed deadlines, an employee’s bonus may be adjusted downwards, illustrating how seriously KPMG takes the continuous development of its teams. This constant focus on training is part of the firm’s strategy to maintain excellence in the quality of its work and to remain a trusted partner for its clients.

Completing these trainings is considered as important as the quality of daily work. In cases of repeated delays or missed deadlines, an employee’s bonus may be adjusted downwards, illustrating how seriously KPMG takes the continuous development of its teams. This constant focus on training is part of the firm’s strategy to maintain excellence in the quality of its work and to remain a trusted partner for its clients.

Audit Methodology

Another key aspect of my internship was the audit methodology. Each firm has its own methodology, a set of systematic procedures and steps that every employee must follow to analyze and evaluate a company’s financial statements. This approach ensures that the work is carried out rigorously, consistently, and in compliance with professional standards.

The methodology covers all phases of the audit, from planning to analyzing the results obtained, including risk assessment, sample selection, and the performance of tests. It allows auditors to gather sufficient and relevant evidence to form a reliable opinion on the accuracy and compliance of the financial statements. During my internship, I learned to systematically refer to it in order to organize my work and ensure that each step was properly followed.

Each firm also implements internal workflows to structure and document all work performed on an engagement. These workflows allow the harmonization of work conclusions among different team members, ensuring the consistency and clarity of the entire audit file.

The control approach

In audit, several types of approaches can be adopted, including the balance sheet approach, the systems-based approach, and the control approach. Each approach offers a structured method for identifying risks, testing transactions and ensuring that the accounts accurately reflect the company’s financial position. The choice of approach depends on the auditor’s professional judgement, the size and complexity of the company, the level of internal control in place and, in some cases, a combination of several approaches is used to best suit the engagement. During my internship, all the engagements I worked on were performed using the control approach. This method consists of assessing the effectiveness of the company’s internal procedures and controls to reduce the risk of errors or misstatements in the financial statements. In fact, the auditor determines the sample size to be tested in order to obtain a sufficient level of assurance without having to check all transactions. The sample size depends on the risk of significant misstatements, the materiality threshold, the nature of the tests performed, and the characteristics of the population being audited. This approach allows the collection of reliable audit evidence while optimizing the time and resources required for the audit.

For example, if an internal control is performed monthly (12 occurrences) by a company and the risk of misstatement is considered normal by the auditor (“base risk”), the methodology will indicate the number of occurrences to test in that specific situation (for example 5 instead of testing all 12 occurrences).

Why should I be interested in this post?

Audit is a particularly interesting option for student wishing to pursue a career in finance. It allows you to develop a rigorous work methodology, strong organizational skills, and a deep understanding of financial statements and accounting mechanisms. Working with multiple clients across different sectors also enhances open-mindedness, flexibility, and the ability to quickly adjust to various situations; qualities that are highly valued in corporate finance, consulting, or M&A roles.

Moreover, an increasing number of M&A and Transaction Services firms seek candidates with audit experience to ensure they have solid foundations (technical, analytical and professional skills). For these reasons, considering an internship or apprenticeship in audit is not only intellectually rewarding, but can also open many doors for a future career in finance.

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Useful resources

About KPMG and the consulting sector

KPMG

Financial Times KPMG tax business pushes firm to faster growth than Big Four rivals

FinTech Magazine KPMG: What can Uniphore bring to financial services ?

Les Echos Concurrence : soupçons d’entente chez les géants de l’audit

Le Figaro (2025) Pourquoi les cabinets d’audit recrutent-ils désormais des ingénieurs ?

Academic resources

Appercel R., 2022, Audit et contrôle interne

Boccon-Gibod S., Vilmint E., 2020, La boite à outils de l’auditeur financier

About the author

The article was written in February 2026 by Maxime PIOUX (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2022-2026).

   ▶ Discover all articles by Maxime PIOUX.

Discovering Financial Controlling within a Media Group

Maxime PIOUX

In this article, Maxime PIOUX (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2022-2026) shares his professional experience as a financial controller assistant at Altice Media.

About the company

Altice Media was a major French media group owned by the Altice Group, founded and controlled by billionaire Patrick Drahi. The group operated across television, radio, and digital media, gathering some of the most important brands in the French audiovisual landscape, including BFM TV, BFM Business, RMC, and RMC Sport. Through these channels, Altice Media played a central role in continuous diffusion of economic, politic and sport news and content, addressing a wide audience.

In July 2024, Altice Media was sold at 100% to the French shipping and logistics group CMA CGM, led by its CEO Rodolphe Saadé, for an estimated amount of €1.5 billion. This acquisition marked CMA CGM’s ambition to diversify its activities beyond transport and logistics, notably by strengthening its presence in the media and information sector.

Logo of Altice.
Logo of Altice
Source: Altice

My internship

I completed a three-month operational internship within the Finance and Administration Department of Altice Media, more specifically in the central management control team. This department plays a key role in monitoring the group’s financial performance and provides essential support for decision-making, particularly by tracking results, analyzing variances, and consolidating data from the different entities.

I worked within the central team, collaborating directly with the two management controllers responsible for consolidating the figures of all the group’s subsidiaries before they were reported to the Chief Financial Officer (CFO), then to the group’s executive management and the shareholder. This position offered a comprehensive view of the performance of the group’s various entities and allowed me to understand how the consolidated data was used in reporting to both the finance department and the shareholder.

My missions

This internship gave me a practical understanding of the role of a management controller and allowed me to participate in a wide range of tasks. My main responsibilities were focused on monthly closing activities, including updating financial reporting, analyzing variances between actual and budgeted figures, performing intra-group reconciliations, and integrating certain companies not yet included in the reporting systems.

In a context of understaffing due to high turnover within the department, I quickly gained autonomy and was entrusted with more challenging tasks, such as participating in reforecasting exercises for two entities, building tracking dashboards, and preparing summary presentations for the Finance Department and Group Management.

In parallel, I contributed to various ad hoc assignments for the Finance Department, such as weekly analysis of unpaid invoices and updating regulated agreements.

Required skills and knowledge

This internship required me to mobilize a wide range of skills. On the hard skills side, proficiency in Excel was essential, as it is the main tool used daily by the management controller. It was also necessary to be flexible and able to quickly learn how to use new financial software such as SAP, an Enterprise Resource Planning (ERP) system, which centralizes and automates the main processes of a company, including accounting and financial transactions. The use of Hyperion was also required: this financial performance management tool is commonly used for budgeting, forecasting and consolidated reporting, and is often directly connected to Excel. Finally, being comfortable with numbers is strongly recommended to succeed in this type of role.

On the soft skills side, rigor and organization were crucial to deliver accurate data for the Finance Department and the management teams of the different entities. A management controller must also demonstrate strong communication and collaboration skills, as the role involves constant interaction with operational teams as well as with the finance departments of the various entities in order to collect, monitor, and analyze financial information.

What I learned

This immersion in the world of finance allowed me to gain a better understanding of the day-to-day operations of a Finance Department within a multi-entity group. I discovered the role of a management controller through the key processes that structure this function, notably monthly closing, consolidated financial reporting, and reforecasting work, which then serve as a basis for performance analysis and strategic decision-making.

I was also exposed to challenges related to financial consolidation, a complex area that requires both strong technical skills and a high level of rigor. I was able to understand the importance of adjustments, intra-group reconciliations, and data consistency in order to produce reliable financial information that can be effectively used by management.

Financial concepts related to my internship

I present below three concepts related to my internship:

Budget and Reforecast

Budgeting and reforecasting are essential tools in management control for anticipating and driving a company’s financial performance. On the one hand, the budget corresponds to a projection of expected financial results over a given period (generally one year) and serves as a benchmark against which actual performance is measured. The process begins with numerous discussions between the management controller and operational teams in order to understand business needs, identify potential cost savings, and estimate revenue. This information is then consolidated and analyzed by the Finance Department before being submitted to Group Management for review and comments, and ultimately validated by the shareholder.

On the other hand, reforecasting, consists of updating these projections during the year by incorporating actual data and changes in business activity or market conditions. These exercises are generally carried out on a monthly basis and allow management to anticipate the year-end outcome (an estimate of final performance at the end of the year). In practice, this work is often performed using Excel, with the support of financial software directly connected to Excel, such as Hyperion, in order to quickly consolidate data from the various entities and monitor performance against targets.

Investment Decisions (CAPEX)

Investment decisions, or CAPEX (Capital Expenditures), are a core pillar of management control and financial strategy, as they enable a company to finance strategic projects while maintaining control over its resources. These expenditures are essential for growth and long-term competitiveness, as they allow the company to renew equipment, develop new activities, or improve operational efficiency: “Wealth generation requires investments, which must be financed and be sufficiently profitable” From Vernimmen, Corporate Finance, 6th edition.

The process generally begins with the identification of needs and projects by operational teams, who define the objectives, estimated costs, and expected impact on the business. The management controller then assesses the financial relevance of each project by evaluating the return on investment, the financing plan, and potential cost savings. These proposals are subsequently submitted to the Finance Department and then to Group Management for strategic validation, before being approved by the shareholder when amounts are significant (approval thresholds are defined within each company).

CAPEX is monitored throughout the year, as shareholders typically pay close attention to these expenditures. Indeed, in certain circumstances, it may be tempting to reclassify OPEX as CAPEX in order to artificially improve the company’s financial presentation, which makes strict monitoring essential.

Workforce Cost Control

Payroll cost management is another central aspect of management control, as it enables the company to monitor one of its main expenses while ensuring that human resources are used effectively to support strategy and operational performance. This process involves collecting workforce data from the Human Resources department on a monthly basis, then analyzing costs, identifying potential variances compared to the budget, and anticipating changes in payroll expenses based on operational needs, new hires, departures, or salary adjustments.

Effective payroll cost control is crucial to maintaining the company’s competitiveness and profitability. This is why it is closely monitored by management and shareholders to avoid any cost overruns or financial imbalances.

Why should I be interested in this post?

A position in management control is an excellent opportunity for any finance student looking to become familiar with corporate financial management and performance monitoring. It allows the development of strong technical skills, particularly in financial analysis, while also strengthening essential soft skills such as rigor, organization, and communication. This type of role also provides a comprehensive view of a company’s operations, as it involves close collaboration with all departments. Finally, working in management control is formative and can serve as a stepping stone toward careers in corporate finance, internal audit, or consulting.

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Useful resources

About Altice

Altice

Acquisition de la branche media du groupe Altice par CMA CGM : l’Autorité de la concurrence conditionne la réalisation de l’opération à des engagements

Le rachat d’Altice Media, maison mère de BFMTTV et RMC, par l’armateur CMA CGM est finalisé

CMA CGM acquiert Altice Media, propriétaire de BFMTV : les détails de l’accord

Financial and management techniques

Vernimmen P., 2022, Corporate Finance, 6th edition

Alcouffe S., Boitier M., Rivière A., Villesèque-Dubus F., 2013, Contrôle de gestion sur mesure : industrie, grande distribution, banque, culture, secteur publique

Cappelletti L., Baron P., Desmaison G., Ribiollet F., 2014, Contrôle de gestion

About the author

The article was written in February 2026 by Maxime PIOUX (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2022-2026).

   ▶ Discover all articles by Maxime PIOUX.

January 2026: Most Read Posts on the SimTrade Blog

Based on WordPress statistics, the following ranking presents the five most read articles on the SimTrade blog in January 2026. These posts cover key topics in financial markets, quantitative finance, risk management, derivatives pricing, and macroeconomic analysis.

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SimTrade Editorial Picks in Quantitative Finance and Corporate Finance

In addition to the most read posts, I highlight the following articles for their strong educational value in quantitative finance, corporate finance, and financial risk modeling.

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Measures and statistics of business activity in global derivative markets

Saral BINDAL

In this article, Saral BINDAL (Indian Institute of Technology Kharagpur, Metallurgical and Materials Engineering, 2024-2028 & Research assistant at ESSEC Business School) explains how the business of derivatives markets has evolved over time and the pivotal role of the Black–Scholes–Merton option pricing model in their development.

Introduction

The derivatives market is among the most dynamic segments of global finance, serving as a tool for risk management, speculation, and price discovery across diverse asset classes. Spanning from bespoke over-the-counter contracts to standardized exchange-traded instruments, derivatives have become indispensable for investors, institutions, and corporations alike.

This post explores the derivatives landscape, examining market structures, contract types, underlying assets, and key statistics of business activity. It also highlights the pivotal role of the Black–Scholes–Merton model, which provided a theoretical framework for options pricing and catalysed the growth of derivatives markets.

Types of derivatives markets

The derivatives market can be categorized according to their market structure (over-the-counter derivatives and exchange-traded derivatives), the types of derivatives contracts traded (futures/forward, options, swaps), and the underlying asset classes involved (equities, interest rates, foreign exchange, commodities, and credit), as outlined below.

Market structure: over-the-counter derivatives and exchange-traded derivatives

Over-the-counter derivatives are privately negotiated, customized contracts between counterparties like banks, corporates, and hedge funds, traded via phone or electronic networks. OTC derivatives offer high flexibility in terms (price, maturity, quantity, delivery) but are less regulated, with decentralized credit risk management, no central clearing, low price transparency, and higher counterparty risk. They suit specialized or low-volume trades and often incubate new products.

Exchange-traded derivatives are standardized contracts traded on organized exchanges with publicly reported prices. Trades are cleared through a central clearing house that guarantees settlement, with daily marking-to-market and margining to reduce counterparty risk. ETDs are more regulated, transparent, and liquid, making them ideal for high-volume, widely traded instruments, though less flexible than OTC contracts.

Types of derivatives contracts

A derivative contract is a financial instrument that derives its values from an underlying asset. The four major types of such instruments are explained below.

A forward contract is a private agreement to buy or sell an asset at a fixed future date and price. It is traded over the counter between two counterparties (e.g., banks or clients). One party takes a long position (agrees to buy), the other a short position (agrees to sell). Settlement happens only at maturity, and contracts are customized, unregulated, and expose parties to direct counterparty risk.

A futures contract has the same economic purpose as a forward, future delivery at a fixed price, but is traded on an exchange with standardized terms. A clearing house stands between buyers and sellers and guarantees performance. Futures are marked to market daily so gains and losses are realized continuously. They are regulated, more transparent, and carry lower counterparty risk than forwards.

Options are contracts that give the holder the right but not the obligation to buy (call) or sell (put) an asset at a fixed strike price by a given expiration date. The buyer pays an upfront premium to the writer. If the option expires unexercised, the buyer loses only the premium. If exercised, the writer bears the payoff. Options can be American (exercise anytime) or European (exercise only at expiry) and are traded both on exchanges (standardized) and OTC (customized).

Swaps are bilateral contracts to exchange streams of cash flows over time, typically based on fixed versus floating interest rates or other reference indices. Payments are calculated on a notional principal that is not exchanged. Swaps are core OTC instruments for managing interest rate and financial risk.

Types of underlying asset classes

Underlying assets are the products on which a derivative instrument or contract derives its value. The most commonly traded underlying assets are explained below.

Equity derivatives include futures and options on stock indices, such as the S&P 500 Index. These instruments offer capital-efficient ways to manage market risk and enhance returns. Through index futures, institutional investors can achieve cost-effective hedging by locking in prices, while index options provide a non-linear, asymmetric payoff structure that protects against tail risk. Furthermore, equity swaps allow for the seamless exchange of total stock returns for floating interest rates, providing exposure to specific market segments without the capital requirements of direct physical ownership.

Interest rate derivatives include swaps and futures that help manage interest rate risk. Interest rate swaps involve exchanging fixed and floating payments, protecting banks against mismatches between loan income and deposit costs. Interest rate futures allow investors to lock in future borrowing or investment rates and provide insight into market expectations of monetary policy.

Commodity derivatives hedge price risk arising from storage, delivery, and seasonal supply-demand fluctuations. Forwards and futures on crude oil, natural gas, and power are widely used.

Foreign exchange derivatives include forward contracts and cross-currency swaps, allowing firms to hedge currency risk. Cross-currency swaps also support local currency bond markets by enabling hedging of interest and exchange rate risk.

Credit derivatives transfer the risk of default between counterparties. The most widely used is the credit default swap (CDS), which acts like insurance: the buyer pays a premium to receive compensation if a reference entity default.

Quantitative measures of derivatives market activity and size

This section presents the principal measures or statistics used to evaluate the size of the derivatives markets, covering both over-the-counter and exchange-traded instruments, the different derivatives products, and asset classes.

Notional outstanding and gross market value are the primary measures used to assess the size and economic exposure of OTC derivatives markets, while ETDs are typically evaluated using indicators such as open interest and trading volume.

Notional amount

Notional amount, or notional outstanding, is the total principal or reference value of all outstanding derivatives contracts. It captures the overall scale of positions in the derivatives market without reflecting actual market risk or cash exchanged.

For example let us consider a FX forward contract in which two parties agree to exchange $50 for euros in three months at a predetermined exchange rate. The notional amount is $50, because all cash flows (and gains or losses) from the contract are calculated with reference to this amount. No money is exchanged when the contract is initiated, and at maturity only the difference between the agreed exchange rate and the prevailing market rate determines the gain or loss computed on the $50 notional.

Now consider a call option on a stock with a strike price of $50. The notional amount is $50. The option buyer pays only an upfront premium, which is much smaller than $50, but the payoff of the option at maturity depends on how the market price of the stock compares to this $50 reference value.

When measuring notional outstanding in the derivatives market, the notional amounts of all individual contracts are simply added together. For example, one FX forward with a notional of $50 and two option contracts each with a notional of $50 result in a total notional outstanding of $150. This aggregated figure indicates the overall scale of derivatives activity, but it typically overstates actual economic risk because contracts may offset each other and only a fraction of the notional is ever exchanged.

Gross market value

Gross market value is the sum of the absolute values of all outstanding derivatives contracts with either positive or negative replacement (mark-to-market) values, evaluated at market prices prevailing on the reporting date. It reflects the potential scale of market risk and financial risk transfer, showing the economic exposure of a dealer’s derivatives positions in a way that is comparable across markets and products.

To continue the previous FX forward example, suppose a dealer has two outstanding FX forward contracts, each with a notional amount of $50. Due to movements in exchange rates, the first contract has a positive replacement value of $0.50 (the dealer would gain $0.50 if the contract were replaced at current market prices), while the second contract has a negative replacement value of –$0.40. The gross market value is calculated as the sum of the absolute values of these replacement values: |0.50| + |−0.40| = $0.90. Although the total notional outstanding of the two contracts is $100, the gross market value is only $0.90. This measure therefore reflects the dealer’s actual economic exposure to market movements at current prices, rather than the contractual size of the positions.

When this concept is extended to the entire derivatives market, the same distinction becomes apparent at a global scale. While the global derivatives market is often described as having hundreds of trillions of dollars in notional outstanding (approximately USD 850 trillion for OTC derivatives), the economically meaningful exposure is an order of magnitude smaller when measured using gross market value. Unlike notional amounts, gross market value aggregates current mark-to-market exposures, making it a more meaningful and comparable indicator of market risk and financial risk transfer across products and markets.

Open Interest

Open interest refers to the total number of outstanding derivative contracts that have not been closed, expired, or settled. It is calculated by adding the contracts from newly opened trades and subtracting those from closed trades. Open interest serves as an important indicator of market activity and liquidity, particularly in exchange-traded derivatives, as it reflects the level of active positions in the market. Measured at the end of each trading day, open interest is widely used as an indicator of market sentiment and the strength behind price trends.

For example on an exchange, a total of 100 futures contracts on crude oil are opened today. Meanwhile, 30 existing contracts are closed. The open interest at the end of the day would be: 100 (new contracts) − 30 (closed contracts) = 70 contracts. This indicates that 70 contracts remain active in the market, representing the total number of positions that traders are holding.

Trading Volume

Trading volume measures the total number of contracts traded over a specific period, such as daily, monthly, or annually. It provides insight into market liquidity and activity, reflecting how actively derivatives contracts are bought and sold. For OTC markets, trading volume is often estimated through surveys, while for exchange-traded derivatives, it is directly reported.

Consider the same crude oil futures market. If during a single trading day, 50 contracts are bought and 50 contracts are sold (including both new and existing positions), the trading volume for the day would be: 50 + 50 = 100 contracts

Here, trading volume shows how active the market is on that day (flow), while open interest shows how many contracts remain open at the end of the day (stock). High trading volume with low open interest may indicate rapid turnover, whereas high open interest with rising prices can signal strong bullish sentiment.

Key sources of statistics on global derivatives markets

Bank for International Settlements (BIS)

The Bank for International Settlements (BIS) provides quarterly statistics on exchange-traded derivatives (open interest and turnover in contracts, and notional amounts) and semiannual data on OTC derivatives outstanding (notional amounts and gross market values across risk categories like interest rates, FX, equity, commodities, and credit). All the data used in this post has been sourced from the BIS database.

Data are collected from over 80 exchanges for ETDs and via surveys of major dealers in 12 financial centers for OTC derivatives. BIS ensures comparability by standardizing definitions, consolidating country-level data, halving inter-dealer positions to avoid double counting, and converting figures into USD. Interpolations are used to fill gaps between triennial surveys, ensuring consistent time series for analysis.

International Swaps and Derivatives Association (ISDA)

ISDA develops and maintains standardized reference data and contractual frameworks that underpin global OTC derivatives markets. This includes machine-readable definitions and value lists for core market terms such as benchmark rates, floating rate options, currencies, business centers, and calendars, primarily derived from ISDA documentation (notably the ISDA Interest Rate Derivatives Definitions). The data are distributed via the ISDA Library and increasingly designed for automated, straight-through processing.

ISDA’s standards are created and updated through industry working groups and are widely used to support trade documentation, confirmation, clearing, and regulatory reporting. Initiatives such as the Common Domain Model (CDM) and Digital Regulatory Reporting (DRR) translate market conventions and regulatory requirements across multiple jurisdictions into consistent, machine-executable logic. While ISDA does not publish comprehensive market volume statistics, its frameworks play a central role in harmonizing OTC derivatives markets and enabling reliable post-trade transparency.

Futures Industry Association (FIA)

Futures Industry Association (FIA), via FIA Tech, provides comprehensive derivatives data including position limits, exchange fees, contract specifications, and trading volumes for futures/options across global products.

Sources aggregate from exchanges, indices (1,800+ products, 100,000+ constituents), and regulators for reference data like symbologist and corporate actions. The process involves standardizing data into consolidated formats with 500+ attributes, automating regulatory reporting (e.g., CFTC ownership/control), and ensuring compliance via databanks.

How to get the data

The data discussed in this article is drawn from the BIS, FIA and Visual Capitalist. For comprehensive statistics on global derivatives markets (both over-the-counter (OTC) and exchange-traded derivatives (ETDs)), the data are available at https://data.bis.org/ and for exchange-traded derivatives specifically, detailed data are provided by the Futures Industry Association (FIA) through its ETD volume reports, accessible at https://www.fia.org/etd-volume-reports. Data on equity spot market and real economy sectors are sourced from Visual Capitalist.

Derivatives market business statistics

Global derivatives market

In this section, we focus on two core measures of derivatives market activity and size: the notional amount outstanding and the gross market value, which together provide complementary perspectives on the scale of contracts and the associated economic exposure.

As of 30th July 2025, the global derivatives market is estimated to have an outstanding notional value of approximately USD 964 trillion, according to the Bank for International Settlements (BIS). As illustrated in the figure below, the market is largely dominated by over-the-counter (OTC) derivatives, which account for nearly 88% of total notional amounts, whereas exchange-traded derivatives (ETDs) represent a comparatively smaller share of about USD 118 trillion.

Figure 1. Derivatives Markets: OTC versus ETD (2025)
Derivatives Markets: OTC and ETD (2025)
Source: computation by the author (BIS data of 2025).

Figure 2 below compares the scale of the global equity derivatives market with that of the underlying equity spot market as of mid-2025. The figure shows that, although equity derivatives represent a sizeable market in notional terms, they are still much smaller than the equity spot market measured by market capitalization. This suggests that the primary locus of economic value in equities remains in the spot market, while the derivatives market mainly represents contingent claims written on that underlying value rather than a comparable pool of market wealth. The relatively small gross market value of equity derivatives further indicates that only a limited portion of derivative notional translates into actual market exposure.

Figure 2. Equity Markets: Spot versus Derivatives (2025)
Equity Markets: Spot versus Derivatives (2025)
Source: computation by the author (BIS and Visual Capitalist data of 2025).

Data sources: global derivatives notional outstanding as of mid-2025 BIS OTC and exchange traded data; global equity spot market capitalization as of 2025 (Visual Capitalist).

Figure 3 below juxtaposes the global derivatives market with selected real-economy sectors to provide an intuitive comparison of scale. Values are reported in USD trillions and plotted on a logarithmic axis, such that equal distances along the horizontal scale correspond to ten-fold (×10) changes in magnitude rather than linear increments. This representation allows quantities that differ by several orders of magnitude to be meaningfully displayed within a single chart.

Interpreted in this manner, the figure illustrates that the notional size of derivatives markets far exceeds the market capitalization of major real-economy sectors, including technology, financials, energy, fast moving consumer goods (FMCG), and luxury. The comparison is illustrative rather than like-for-like, and is intended to contextualize the scale of financial contract exposure rather than to imply equivalent economic value or direct risk.

Figure 3. Scale of Global Derivatives Relative to Major Real-Economy Sectors (2025)
Scale of Global Derivatives Relative to Major Real-Economy Sectors (2025)
Source: computation by the author (BIS and Visual Capitalist data).

Data sources: BIS OTC derivatives statistics (June 2025) for notional outstanding; Visual Capitalist global stock market sector data (2025) for sector market capitalizations; companies market cap / Visual Capitalist for luxury company market caps.

OTC derivatives market

Figures 4 and 5 below illustrate the evolution of the OTC derivatives market from 1998 to 2025 using the two measures discussed above: outstanding notional amounts (Figure 4) and gross market value (Figure 5). As the data show, notional outstanding tends to overstate the effective economic size of the market, as it reflects contractual face values rather than actual risk exposure. By contrast, gross market value provides a more economically meaningful measure by capturing the current cost of replacing outstanding contracts at prevailing market prices.

Figure 4. Size of the OTC Derivatives Market (Notional amount)
Size of the OTC derivative market (Notional amount)
Source: computation by the author (BIS data).

Figure 5. Size of the OTC Derivatives Market (Gross market value)
Size of the OTC derivative market (Gross market value)
Source: computation by the author (BIS data).

The figure below illustrates the OTC derivatives market data as of 30th July 2025 based on the two metrics discussed above: outstanding notional amounts and gross market value. As the data show, Gross market value (GMV) represents only about 2.6% of total notional outstanding, highlighting the large gap between contractual face values and economically meaningful exposure.

Figure 6. Size measure of the OTC derivatives market (2025)
Size of the OTC derivative market (2025)
Source: computation by the author (BIS data).

Exchange-traded derivatives market

Figure 7 below illustrates the growth of the exchange-traded derivatives market from 1993 to 2025, based on outstanding notional amounts (open interest) and turnover notional amounts (trading volume). For comparability across contracts and exchanges, open interest is expressed in notional terms by multiplying the number of open contracts by their contract size, yielding US dollar equivalents. Turnover is defined as the notional value of all futures and options traded during the period, with each trade counted once.

Figure 7. Size of the Exchange-Traded Derivatives Market
Size of the exchange traded derivatives market
Source: computation by the author (BIS data).

The figure below illustrates the exchange-traded derivatives market data as of 30th July 2025 based on the two metrics discussed above: open interest and turnover (trading volume). The chart shows that only about 12%, of the open positions is actively traded, highlighting the difference between market size and the trading activity.

Figure 8. Size of the Exchange traded derivatives market (2025)
Size of the exchange traded derivatives market (2025)
Source: computation by the author (BIS data).

Figure 9 below illustrates the evolution of the global exchange-traded derivatives market from 1993 to 2025, measured by outstanding notional amounts across major regions. The figure reveals a pronounced concentration of activity in North America and Europe, which drives most of the market’s expansion over time, while Asia-Pacific and other regions play a more modest role. Despite cyclical fluctuations, the overall trajectory is one of sustained long-run growth, underscoring the increasing importance of exchange-traded derivatives in global risk management and price discovery.

Figure 9. Size of the Exchange-Traded Derivatives Market by geographical locations
Size of the exchange traded derivatives market by geographic location
Source: computation by the author (BIS data).

Underlying asset classes

This section analyzes underlying asset-class statistics for derivatives traded in exchange-traded (ETD) and over-the-counter (OTC) markets.

Figure 10 below presents the distribution of exchange-traded derivatives (ETDs) activity across major underlying asset classes. When measured by the number of contracts traded (volume), the market is highly concentrated, with Equity derivatives dominating and accounting for the vast majority of activity. This is followed at a significant distance by Interest Rate and Commodity derivatives. However, this distribution reverses when measured by the notional value of outstanding contracts, where Interest Rate derivatives represent the largest share of the market due to the high underlying value of each contract.

Figure 10. Size of the exchange-traded derivatives market by asset classes
Size of the exchange traded derivatives market
Source: computation by the author (FIA data).

Figure 11 below presents the distribution of OTC derivatives activity across major underlying asset classes, measured by the outstanding notional amounts and displayed on a logarithmic scale. Read in this way, the chart shows that OTC activity is broadly diversified across interest rates, equity indices, commodities, foreign exchange, and credit, with interest rate and foreign exchange derivatives accounting for the largest contract volumes.

Figure 11. Size of the OTC derivatives market by asset classes
Size of the exchange traded derivatives market
Source: computation by the author (BIS data).

Role of the Black–Scholes–Merton (BSM) model

The Black–Scholes–Merton (BSM) model played a role in financial markets that extended well beyond option pricing. As argued by MacKenzie and Millo (2003), once adopted by traders and exchanges, it actively shaped how options markets were organized, priced, and operated rather than merely describing pre-existing price behaviour. Its use at the Chicago Board Options Exchange (CBOE) helped standardize quoting practices, enabled model-based hedging, and supported the rapid growth of liquidity in listed options markets.

At a broader level, MacKenzie (2006) shows that BSM contributed to a transformation in financial culture by embedding theoretical assumptions about risk, volatility, and rational pricing into everyday market practice. In this sense, BSM acted as an “engine” that reshaped markets and economic behaviour, not simply a “camera” recording them.

Beyond markets and firms, the diffusion of the BSM model also had wider societal implications. By formalizing risk as something that could be quantified, priced, and hedged, BSM contributed to a broader cultural shift in how uncertainty was perceived and managed in modern economies (MacKenzie, 2006). This reframing reinforced the view that complex economic risks could be controlled through mathematical models, with public perceptions of financial stability.

Why should you be interested in this post?

For anyone aiming for a career in finance, understanding the derivatives market is essential, as it is currently one of the most actively traded markets and is expected to grow further. Studying the statistics and business impact of derivatives provides valuable context on past challenges and the solutions developed to manage risks, offering a solid foundation for analyzing and navigating modern financial markets.

Related posts on the SimTrade blog

   ▶ Jayati WALIA Derivatives Market

   ▶ Alexandre VERLET Understanding financial derivatives: options

   ▶ Alexandre VERLET Understanding financial derivatives: forwards

   ▶ Alexandre VERLET Understanding financial derivatives: futures

   ▶ Akshit GUPTA Understanding financial derivatives: swaps

   ▶ Akshit GUPTA The Black Scholes Merton model

   ▶ Luis RAMIREZ Understanding Options and Options Trading Strategies

Useful resources

Academic research on option pricing

Black F. and M. Scholes (1973) The pricing of options and corporate liabilities. Journal of Political Economy, 81(3), 637–654.

Merton R.C. (1973) Theory of rational option pricing. The Bell Journal of Economics and Management Science, 4(1), 141–183.

Hull J.C. (2022) Options, Futures, and Other Derivatives, 11th Global Edition, Chapter 15 – The Black–Scholes–Merton model, 338–365.

Academic research on the role of models

MacKenzie, D., & Millo, Y. (2003). Constructing a Market, Performing Theory: The Historical Sociology of a Financial Derivatives Exchange. American Journal of Sociology, 109(1), 107–145.

MacKenzie, D. (2006). An Engine, not a Camera: How Financial Models Shape Markets. MIT Press.

Data

Bank for International Settlements (BIS). Retrieved from BIS Statistics Explorer.

Futures Industry Association (FIA). Retrieved from ETD Volume Reports.

Visual Capitalist. Retrieved from The Global Stock Market by Sector.

Visual Capitalist. Retrieved from Piecing Together the $127 Trillion Global Stock Market.

About the author

The article was written in February 2026 by Saral BINDAL (Indian Institute of Technology Kharagpur, Metallurgical and Materials Engineering, 2024-2028 & Research assistant at ESSEC Business School).

   ▶ Discover all articles written by Saral BINDAL

Beyond price: The wisdom of Warren Buffett and Napoleon Hill on investment and self-growth

Mathilde JANIK

In this article, Mathilde JANIK (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2021-2025) comments on two quotes that bridge the gap between financial philosophy and personal development: one from the world’s most successful investor, Warren Buffett, and another from the self-help pioneer, Napoleon Hill. These quotes collectively highlight the profound truth that success in finance, much like success in life, is less about quick wins and more about the quality of the long-term compounding investments we make in businesses and ourselves.

About the Quoted Authors

This post draws on the wisdom of two influential figures: Warren Buffett, the chairman and CEO of Berkshire Hathaway, widely regarded as one of the most successful investors in history and the architect of the Value Investing philosophy; and Napoleon Hill (1883–1970), the American author of the classic 1937 self-help book Think and Grow Rich, whose work focused on the power of belief and consistent, long-term personal discipline.

The selection of these two quotes is deliberate: the first establishes the principle of quality over price in capital allocation (finance), while the second extends this exact same principle to the allocation of time and effort in personal life (self-growth). Together, they form a complete roadmap for achieving sustainable success, reminding us that both financial and personal wealth are built patiently through consistent, high-quality choices.

Quotes

The quote by Warren Buffett

“It’s far better to buy a wonderful company at a fair price than a fair company at a wonderful price.” – Warren Buffett

The quote by Napoleon Hill

“Tell me how you use your spare time, and how you spend your money, and I will tell you where and what you will be in ten years from now.” – Napoleon Hill

Analysis of the quotes

The first quote, from Warren Buffett, is the cornerstone of Value Investing. It focuses on the financial market and how to choose a company to invest in. It makes a lot of sense to always take into account not only the stock price of the company but also everything that goes beyond its market capitalization. Factors like the management and leadership within the company, the cash flows (and their robustness and stability), and the market share compared to competitors are really important. Investing in a robust company that does good things every day may be more profitable than investing in a company that may be cheaper and more appealing for one specific innovation but may not be profitable at all.

This is why I also wanted to include the second quote, which applies the same long-term quality principle to personal development. I came across this quote shortly after reading the book “Think and Grow Rich” by Napoleon Hill, an American author widely known for his self-help books, first published in 1937. He asserted that desire, faith, and persistence can propel one to great heights if one can suppress negative thoughts and focus on long-term goals. I like this quote because it shows that, depending on what we focus on, we can become anything we want. It also shows that it’s about the little things you do every day that will bring you where you want to be in life. I appreciate how this quote shows that spending money is not a deliberate act and we should think this through, questioning ourselves on our own goals and how making specific spending decisions may or may not bring us towards them and what our future self would think of our present decision.

Financial concepts related to the quotes

We can relate these quotes to three core concepts that govern both capital and personal allocation: intrinsic value vs. market price, economic moats and competitive advantage, and the power of compounding.

Intrinsic value vs. Market price

Buffett’s quote directly addresses the difference between a stock’s intrinsic value (the true, underlying economic worth of a business, determined by its future cash flows and qualitative factors like management quality and competitive advantage) and its volatile market price (the price at which it trades publicly). He emphasizes that while price is what you pay, value is what you get. A “wonderful company” has a high intrinsic value, meaning its quality justifies the price, whereas a “fair company” may trade at a low price, but its lack of quality means that price is likely justified by its poor prospects.

Economic moats and competitive advantage

The concept of a “wonderful company” is often defined by its economic moat: a structural feature that protects a company’s long-term profits and market share from competition. Taken from moats that protect castles, certain advantages help protect companies from their competitors. Moats can come from high switching costs for customers, network effects, or intangible assets like brand strength (e.g., Coca-Cola). A company with a strong moat has robust and stable cash flows, which, as I noted, are crucial. Hill’s quote is a mirror: investing in personal skills and knowledge creates a personal “moat” around your career and future earning potential.

The power of compounding

Both quotes relates to the principle of compounding. In finance, it’s the ability of an asset to generate earnings that are then reinvested to generate their own earnings. Buffett seeks companies that compound capital effectively over decades. Napoleon Hill’s quote speaks to compounding in personal life: the cumulative effect of small, positive daily actions (how you use your spare time and spending decisions) that, over ten years, leads to exponential growth in skills, wealth, and character. This continuous, patient investment, whether in a stock or a skill, is the ultimate driver of long-term success. Other authors, such as the best-selling author James Clear in his widely known self-help book Atomic Habits, also present this idea of compounding specifically for everyday skills.

My opinion about this quote

I chose these two quotes because they provide a complete roadmap for success. The Buffett quote provides the external strategy: be disciplined, patient, and focus on quality when allocating capital. The Hill quote provides the internal strategy: be disciplined, patient, and focus on quality when allocating time and effort. As a student of finance, it’s easy to get fixated on technical analysis and short-term movements, but these quotes remind us that the biggest returns come from long-term vision and consistent commitment to fundamental excellence, whether we’re analyzing a company’s leadership or assessing our own daily habits. This dual focus is the best preparation for a successful career in finance and beyond, emphasizing that personal growth and investment success are deeply intertwined.

Why should I be interested in this post?

If you’re a student interested in business and finance, this post is essential. It moves beyond the mechanics of valuation to address the philosophy of investment, a core requirement for success in roles like asset management, portfolio management, and private equity. Understanding Buffett’s principle demonstrates a mature, long-term mindset often tested in interviews. Furthermore, Napoleon Hill’s insight offers a blueprint for personal development, showing that the same consistency and discipline required to choose a “wonderful company” are needed to build a successful professional self through thoughtful allocation of your time and money.

Related posts on the SimTrade blog

Quotes

   ▶ All posts about Quotes

   ▶ Hadrien PUCHE “Price is what you pay, value is what you get“ – Warren Buffett

   ▶ Federico DE ROSSI The Power of Patience: Warren Buffett’s Advice on Investing in the Stock Market

   ▶ Hadrien PUCHE “The big money is not in the buying and selling, but in the waiting.” – Charlie Munger

Financial techniques

   ▶ All posts about Financial Techniques

   ▶ Andrea ALOSCARI Valuation methods

   ▶ Maite CARNICERO MARTINEZ How to compute the net present value of an investment in Excel

Useful resources

Cunningham, L.A (1997) The Essays of Warren Buffett: Lessons for Corporate America, Fourth Edition.

Hill, N. (1937). Think and Grow Rich. New York: The Ralston Society.

Graham, B., & Dodd, D. L. (1934). Security Analysis. New York: McGraw-Hill.

Autorité des Marchés Financiers (AMF) Guide d’élaboration des prospectus et de l’information à fournir en cas d’offre au public ou d’admission de titres financiers

Autorité des Marchés Financiers (AMF) (January 2026) Les obligations d’information des sociétés cotées

Autorité des Marchés Financiers (AMF) Guides épargnants

U.S. Securities and Exchange Commission (SEC) Resources for Investors

U.S. Securities and Exchange Commission (SEC) Beginners Guide to Investing

About the author

The article was written in January 2026 by Mathilde JANIK (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2021-2025).

   ▶ Discover all articles written by Mathilde JANIK.

Volatility curves: smiles and smirks

Saral BINDAL

In this article, Saral BINDAL (Indian Institute of Technology Kharagpur, Metallurgical and Materials Engineering, 2024-2028 & Research assistant at ESSEC Business School) analyzes the various shapes of volatility curves observed in financial markets and explains how they reveal market participants’ beliefs about future asset price distributions as implied by option prices.

Introduction

In financial markets characterized by uncertainty, volatility is a fundamental factor shaping the dynamics of the prices of financial instruments. Implied volatility stands out as a key metric as a forward-looking measure that captures the market’s expectations of future price fluctuations, as reflected in current market prices of options.

Implied volatility is inherently a two-dimensional object, as it is indexed by strike K and maturity T. The collection of these implied volatilities across all strikes and maturities constitutes the volatility surface. Under the Black–Scholes–Merton (BSM) framework, volatility is assumed to be constant across strikes and maturities, in which case the volatility surface would degenerate into a flat plane. Empirically, however, the volatility surface is highly structured and varies significantly across both strike and maturity.

Accordingly, this post focuses on implied volatility curves across moneyness for a fixed maturity (i.e. cross-sections of the volatility surface), examining their canonical shapes, economic interpretation, and the insights they reveal about market beliefs and risk preferences.

Option pricing

Option pricing aims to determine the fair value of options (calls and puts). One of the most widely used frameworks for this purpose is the Black–Scholes–Merton (BSM) model, which expresses the option value as a function of five key inputs: the underlying asset price S, the strike price K, time to maturity T, the risk-free interest rate r, and volatility σ. Given these parameters, the model yields the theoretical value of the option under specific market assumptions. The details of the BSM option pricing formulas along with variable definitions can be found in the article Black-Scholes-Merton option pricing model.

Implied volatility

In the Black–Scholes–Merton (BSM) model, volatility is an unobservable parameter, representing the expected future variability of the underlying asset over the option’s remaining life. In practice, implied volatility is obtained by inverting the BSM pricing formula (using numerical methods such as the Newton–Raphson algorithm) to find the specific volatility that equates the BSM theoretical price to the observed market price. The details for the mathematical process of calculation of implied volatility can be found in Implied Volatility and Option Prices.

Moneyness

Moneyness describes the relative position of an option’s strike price K with respect to the current underlying asset price S. It indicates whether the option would have a positive intrinsic value if exercised at the current moment. Moneyness is typically parameterized using ratios such as K/S or its logarithmic transform.


Moneyness formula

In practice, moneyness classifies an option based on its intrinsic value. An option is said to be in-the-money (ITM) if it has positive intrinsic value, at-the-money (ATM) if its intrinsic value is zero, and out-of-the-money (OTM) if its intrinsic value is zero and immediate exercise would not be optimal. In terms of the relationship between the underlying asset price (S) and the strike price (K), a call option is ITM when S > K, ATM when S = K, and OTM when S < K. Conversely, a put option is ITM when S < K, ATM when S = K, and OTM when S > K.

The payoff, that is the cash flow realized upon exercising the option at maturity T, is given for call and put options by:


Payoff formula for call and put options

where ST is the underlying asset price at the time the option is exercised.

Figure 1 below illustrates the payoff of a call option, that is the call option value at maturity as a function of its underlying asset price. The call option’s strike price is assumed to be equal to $4,600. For an underlying price of $3,000, the call option is out-of-the-money (OTM); for a price of $4,600, the call option is at-the-money (ATM); and for a price of $7,000, the call option is in-the-money (ITM) and worth $2,400.

Figure 1. Payoff for a call option and its moneyness (OTM, ATM and ITM)
Payoff for a call option and its moneyness (OTM, ATM and ITM)
Source: computation by the author.

Similarly, Figure 2 below illustrates the payoff of a put option, that is the put option value at maturity as a function of its underlying asset price. The put option’s strike price is assumed to be equal to $4,600. For an underlying price of $3,000, the put option is in-the-money (ITM) and worth $1,600; for a price of $4,600, the put option is at-the-money (ATM); and for a price of $7,000, the put option is out-of-the-money (OTM).

Figure 2. Payoff for a put option and its moneyness (OTM, ATM and ITM)
Payoff for a put option and its moneyness (OTM, ATM and ITM)
Source: computation by the author.

Figure 3 below illustrates the temporal dynamics of moneyness for a European call option with a strike price of $4,600, showing how the option transitions between out-of-the-money, at-the-money, and in-the-money states as the underlying asset price moves relative to the strike over its lifetime.

Figure 3. Evolution of a call option moneyness
Evolution of a call option moneyness
Source: computation by the author.

Similarly, Figure 4 below illustrates the temporal dynamics of moneyness for a European put option with a strike price of $4,600, showing how the option transitions between out-of-the-money, at-the-money, and in-the-money states as the underlying asset price moves relative to the strike over its lifetime.

Figure 4. Evolution of a put option moneyness
Evolution of a put option moneyness
Source: computation by the author.

You can download the Excel file below for the computation of moneyness of call and put options as discussed in the above figures.

Download the Excel file.

Empirical observation: implied volatility depends on moneyness

Smiles and smirks

Volatility curves refer to plots of implied volatility across different strikes for options with the same maturity. Two distinct shapes are commonly observed: the “volatility smile” and the “volatility smirk”.

A volatility smile is a symmetric pattern commonly observed in options markets. For a given underlying asset and expiration date, it is defined as the mapping of option strike prices to their Black–Scholes–Merton implied volatilities. The term “smile” refers to the distinctive shape of the curve: implied volatility is lowest near the at-the-money (ATM) strike and rises for both lower in-the-money (ITM) strikes and higher out-of-the-money (OTM) strikes.

A volatility smirk (also called skew) is an asymmetric pattern in the implied volatility curve and is mainly observed in the equity markets. It is characterized by high implied volatilities at lower strikes and progressively lower implied volatilities as the strike increases, resulting in a downward-sloping profile. This shape reflects the uneven distribution of implied volatility across strikes and stands in contrast to the more symmetric volatility smile observed in other markets.

Stylized facts about the implied volatility curve across markets

Stylized facts characterizing implied volatility curves are persistent and statistically robust empirical regularities observed across financial markets. Below, I discuss the key stylized facts for major asset classes, including equities, foreign exchange, interest rates, commodities, and cryptocurrencies.

Equity market: For major equity indices, the implied volatility curve at a given maturity is typically a negatively sloped smirk: IV is highest for out of the money puts and declines as the strike moves up, rather than forming a symmetric smile (Zhang & Xiang, 2008). This left skew is persistent across maturities and provides useful signals at the individual stock level, where steeper smirks (higher OTM put vs ATM IV) forecast lower subsequent returns, consistent with markets pricing crash risk into downside options (Xing, Zhang & Zhao, 2010).

FX market: For foreign currency options, implied volatility curves most often display a U shaped smile: IV is lowest near at the money and higher for deep in or out of the money strikes, especially for major FX pairs (Daglish, Hull & Suo, 2007). The degree of symmetry depends on the correlation between the FX rate and its volatility, so near zero correlation gives a roughly symmetric smile, while non zero correlations generate skews or smirks that have been empirically documented in options on EUR/USD, GBP/USD and AUD/USD (Choi, 2021).

Commodity market: For commodity options, cross market evidence shows that implied volatility curves are generally negatively skewed with positive curvature, meaning they exhibit smirks rather than flat surfaces, with higher IV for downside strikes but still some smile like curvature (Jia, 2021). Studies on crude oil and related commodities also find pronounced smiles and smirks whose strength varies with fundamentals such as inventories and hedging pressure, reinforcing it is a core stylized fact in commodity derivatives (Soini, 2018; Vasseng & Tangen, 2018).

Fixed income market: Swaption markets display smiles and skews on their volatility curves: for a given expiry and tenor, implied volatility typically curves in moneyness and may tilt up or down depending on the correlation between the underlying rate and volatility (Daglish, Hull & Suo, 2007). Empirical work on the swaption volatility cube shows that simple one factor or SABR lifted constructions do not capture the full observed smile, indicating that a rich, strike and maturity dependent IV surface is itself a stylized feature of interest rate options (Samuelsson, 2021).

Crypto market: Bitcoin options exhibit a non flat implied volatility smile with a forward skew, and short dated options can reach very high levels of implied volatility, reflecting heavy tails and strong demand for certain strikes (Zulfiqar & Gulzar, 2021). Because of this forward skew, the paper concludes that Bitcoin options “belong to the commodity class of assets,” although later studies show that the Bitcoin smile can change shape across regimes and is often flatter than equity index skew (Alexander, Kapraun & Korovilas, 2023).

Summary of stylized facts about implied volatility
 Summary of stylized facts about implied volatility

An Empirical Analysis of S&P 500 Implied Volatility

This section describes the data, methodology, and empirical considerations for the analysis of implied volatility of put options written on the S&P 500 index. We begin by highlighting a classical challenge in cross-sectional option data: asynchronous trading.

Asynchronous trading and measurement error

In empirical option pricing, the non-synchronous observation of option prices and the underlying asset price generates measurement errors in implied volatility estimation, as the building of the volatility curve based on an option pricing model relies on option prices with the underlying price observed at the same point of time.

Formally, let the option price C be observed at time tc, while the underlying asset price S is observed at time ts with ts ≠ tc. The observed option price therefore satisfies


Asynchronous call option price and underlying asset price

Since the option price at time tc depends on the latent spot price S(tc), rather than the asynchronously observed price S(ts), this mismatch introduces measurement error in the underlying price variable and implied volatility at the end.

Various standard filters including no-arbitrage, liquidity, moneyness, maturity, and implied-volatility sanity checks are typically applied to mitigate errors-in-variables arising from asynchronous observations of option prices and their underlying assets.

Example: options on the S&P 500 index

Consider the following sample of option data written on the S&P 500 index. Data can be obtained from FirstRate Data.

Download the Excel file.

Figure 5 below illustrates the volatility smirk (or skew) for an option chain (a series of option prices for the same maturity) written on the S&P 500 index traded on 3rd July 2023 with time to maturity of 2 days after filtering it out from the above data.

Figure 5. Volatility smirk for put option prices on the S&P 500 index
Volatility smirk computed for put option on the S&P 500 index
Source: computation by the author.

You can download the Excel file below to compute the volatility curve for put options on the S&P 500 index.

Download the Excel file.

Economic Insights

This section explains how the shape of the implied volatility curve reveals key economic forces in options markets, including demand for crash protection, leverage-driven volatility feedback effects, and the role of market frictions and limits to arbitrage.

Demand for crash protection:

Out-of-the-money put options serve as insurance against market crashes and hedge tail risk. Because this demand is persistent and largely one-sided, put options become expensive relative to their Black–Scholes-Merton values, resulting in elevated implied volatilities at low strikes. This excess pricing reflects the market’s willingness to pay a premium to insure against rare but severe losses.

Leverage and volatility feedback effects:

When equity prices fall, firms become more leveraged because the value of equity declines relative to debt. Higher leverage makes equity riskier, increasing expected future volatility. Anticipating this effect, markets assign higher implied volatility to downside scenarios than to upside moves. This endogenous feedback between price declines, leverage, and volatility naturally produces a negative volatility skew, even in the absence of crash-risk preferences.

Market frictions and limits to arbitrage:

In practice, option writers are subject to capital constraints, margin requirements, and exposure to jump and tail risk. These constraints limit their capacity to supply downside protection at low prices. As a result, downside options embed not only compensation for fundamental crash risk, but also a risk premium reflecting the balance-sheet costs and risk-bearing capacity of intermediaries. The observed volatility skew therefore arises endogenously from limits to arbitrage rather than purely from differences in underlying return distributions.

Conclusion

The dependence of implied volatility on moneyness is neither an anomaly nor a technical artifact. It reflects market expectations, risk preferences, and the perceived probability of extreme outcomes. For both pedagogical and investment applications, the implied volatility curve is a central tool for understanding how markets price tail and downside risk.

Why should I be interested in this post?

Understanding implied volatility and its relationship with moneyness extends beyond option pricing, offering insights into how markets perceive risk and assess the likelihood of extreme events. Patterns such as volatility smiles and skews reflect investor behavior, the demand for protection, and the asymmetric emphasis on potential losses over gains, providing a clearer view of both pricing anomalies and the economic forces that shape financial markets.

Related posts on the SimTrade blog

Option price modelling

   ▶ Jayati WALIA Brownian Motion in Finance

   ▶ Saral BINDAL Modeling Asset Prices in Financial Markets: Arithmetic and Geometric Brownian Motions

   ▶ Jayati WALIA Black-Scholes-Merton option pricing model

   ▶ Jayati WALIA Monte Carlo simulation method

Volatility

   ▶ Saral BINDAL Historical Volatility

   ▶ Saral BINDAL Implied Volatility and Option Prices

   ▶ Jayati WALIA Implied Volatlity

Useful resources

Academic research on Option pricing

Black, F., & Scholes, M. (1973). The pricing of options and corporate liabilities, Journal of Political Economy, 81(3), 637–654.

Hull J.C. (2015) Options, Futures, and Other Derivatives, Ninth Edition, Chapter 15 – The Black-Scholes-Merton model, 343-375.

Merton, R.C. (1973). Theory of rational option pricing, The Bell Journal of Economics and Management Science, 4(1), 141–183.

Academic research on Stylized facts

Alexander, C., Kapraun, J. & Korovilas, D. (2023) Delta hedging bitcoin options with a smile, Quantitative Finance, 23(5), 799–817.

Bakshi, G., Cao, C., & Chen, Z. (1997). Empirical performance of alternative option pricing models, The Journal of Finance, 52(5), 2003–2049.

Bates, D. S. (1991). The crash of ’87: Was it expected? The evidence from options markets, The Journal of Finance, 46(5), 1777–1819.

Bates, D. S. (2000). Post-’87 crash fears in the S&P 500 futures option market, Journal of Econometrics, 94(1–2), 181–238.

Choi, K. (2021) Foreign exchange rate volatility smiles and smirks, Applied Stochastic Models in Business and Industry, 37(3), 405–425.

Daglish, T., Hull, J. & Suo, W. (2007) Volatility surfaces: theory, rules of thumb, and empirical evidence, Quantitative Finance, 7(5), 507–524.

Jia, G. (2021) The implied volatility smirk of commodity options, Journal of Futures Markets, 41(1), 72–104.

Samuelsson, A. (2021) Empirical study of methods to complete the swaption volatility cube. Master’s thesis, Uppsala University.

Soini, E. (2018) Determinants of volatility smile: The case of crude oil options. Master’s thesis, University of Vaasa.

Xing, Y., Zhang, X. & Zhao, R. (2010) What does individual option volatility smirk tell us about future equity returns? Review of Financial Studies, 23(5), 1979–2017.

Zhang, J.E. & Xiang, Y. (2008) The implied volatility smirk, Quantitative Finance, 8(3), 263–284.

Zulfiqar, N. & Gulzar, S. (2021) Implied volatility estimation of bitcoin options and the stylized facts of option pricing, Financial Innovation, 7(1), 67.

About the author

The article was written in January 2026 by Saral BINDAL (Indian Institute of Technology Kharagpur, Metallurgical and Materials Engineering, 2024-2028 & Research assistant at ESSEC Business School).

   ▶ Discover all articles written by Saral BINDAL

Leverage in LBOs: How Debt Creates and Destroys Value in Private Equity Transactions

Ian DI MUZIO

In this article, Ian DI MUZIO (ESSEC Business School, Master in Finance (MiF), 2025–2027) explores the economics of leverage in leveraged buyouts (LBOs) from an investment banking perspective.

Rather than treating debt as a purely mechanical input in an Excel model, the article explains—both conceptually and technically—how leverage amplifies equity returns, reshapes risk, affects pricing, and constrains deal execution.

The ambition is to provide junior analysts with a realistic framework they can use when building or reviewing LBO models during internships, assessment centres, or live mandates.

Context and objective

Most students encounter leverage for the first time through a simplified capital structure slide: a bar divided into senior debt, subordinated debt, and equity, followed by a formula showing that higher debt and lower equity mechanically increase the internal rate of return (IRR, the discount rate that sets net present value to zero).

In the abstract, the story appears straightforward. If a company generates stable cash flows, a sponsor can finance a large share of the acquisition with relatively cheap debt, repay that debt over time, and magnify capital gains on a smaller equity cheque.

In reality, this mechanism operates only within a narrow corridor. Too little leverage and the financial sponsor struggles to compete with strategic buyers. Too much leverage and the business becomes fragile: covenants tighten, financial flexibility disappears, and relatively small shocks in performance can wipe out the equity.

The objective of this article is therefore not to restate textbook identities, but to describe how investment bankers think about leverage when advising financial sponsors and corporate sellers, drawing on market practice and transaction experience (see, for example, Kaplan & Strömberg).

The focus is on the interaction between free cash flow generation, debt capacity, pricing, and exit scenarios, and on how analysts should interpret LBO outputs rather than merely producing them.

What an LBO really is

At its core, a leveraged buyout is a change of control transaction in which a financial sponsor acquires a company using a combination of equity and a significant amount of borrowed capital, secured primarily on the target’s own assets and cash flows.

The sponsor is rarely a long-term owner. Instead, it underwrites a finite investment horizon—typically four to seven years—during which value is created through a combination of operational improvement, deleveraging, multiple expansion, and sometimes add-on acquisitions, before exiting via a sale or initial public offering emphasises.

From a financial perspective, an LBO is effectively a structured bet on the spread between the company’s return on invested capital and the cost of debt, adjusted for the speed at which that debt can be repaid using free cash flow.

In other words, leverage only creates value if operating performance is sufficiently strong and stable to service and amortise debt. When performance falls short, the rigidity of the capital structure becomes a source of value destruction rather than enhancement.

How leverage amplifies equity returns

The starting point for understanding leverage is the identity that equity value equals enterprise value minus net debt. If enterprise value remains constant while net debt declines over time, equity value must mechanically increase.

This is the familiar deleveraging effect: as free cash flow is used to repay borrowings, the equity slice of the capital structure expands even if EBITDA growth is modest and exit multiples remain unchanged.

Figure 1 illustrates this mechanism in a stylised LBO. The company is acquired with high initial leverage. Over the holding period, EBITDA grows moderately, but the primary driver of equity value creation is the progressive reduction of net debt.

Figure 1. Evolution of capital structure in a simple LBO.
 Evolution of capital structure in a simple LBO
Source: the author.

Figure 1 illustrates the evolution of capital structure in a simple LBO. Debt is repaid using free cash flow, causing the equity portion of enterprise value to increase even if valuation multiples remain unchanged.

To enhance transparency and pedagogical value, the Excel model used to generate Figure 1—allowing readers to adjust leverage, cash flow, and amortisation assumptions—can be made available alongside this article.

This dynamic explains why LBO IRRs can appear attractive even with limited operational growth. It also highlights the fragility of highly levered structures: when EBITDA underperforms or exit multiples contract, equity value erodes rapidly because the initial leverage leaves little margin for error.

Debt capacity and the role of free cash flow

For investment bankers, the key practical question is not “how much leverage maximises IRR in Excel?” but “how much leverage can the business sustainably support without breaching covenants or undermining strategic flexibility?”.

This shifts the focus from headline EBITDA to the quality, predictability, and cyclicality of free cash flow. In an LBO context, free cash flow is typically defined as EBITDA minus cash taxes, capital expenditure, and changes in working capital, adjusted for recurring non-operating items.

A business with recurring revenues, limited capex requirements, and stable working capital can support materially higher leverage than a cyclical, capital-intensive company, even if both report similar EBITDA today.

Debt capacity is assessed using leverage and coverage metrics such as net debt to EBITDA, interest coverage, and fixed-charge coverage, tested under downside scenarios rather than a single base case. Lenders focus not only on entry ratios, but on how those ratios behave when EBITDA compresses or capital needs spike.

Pricing, entry multiples, and the leverage trade-off

Leverage interacts with pricing in a non-linear way. At a given entry multiple, higher leverage reduces the equity cheque and tends to increase IRR, provided exit conditions are favourable.

However, aggressive leverage also constrains bidding capacity. Lenders rarely support structures far outside market norms, which means sponsors cannot indefinitely substitute leverage for price. In competitive auctions, sponsors must choose whether to compete through valuation or capital structure, knowing that both dimensions feed directly into risk.

Figure 2 presents a stylised sensitivity of equity IRR to entry multiple and starting leverage, holding exit assumptions constant.

Figure 2. Sensitivity of equity IRR to entry valuation and starting leverage.
 Sensitivity of equity IRR to entry valuation and starting leverage
Source: the author.

Figure 2 illustrates the sensitivity of equity IRR to entry valuation and starting leverage. Outside a moderate corridor, IRR becomes highly sensitive to small changes in operating or exit assumptions.

Providing the Excel file behind Figure 2 would allow readers to stress-test entry pricing and leverage assumptions interactively.

Risk, scenarios, and the distribution of outcomes

A mature view of leverage focuses on the full distribution of outcomes rather than a single base case. Downside scenarios quickly reveal how leverage concentrates risk: when performance weakens, equity absorbs losses first.

Figure 3 illustrates how higher leverage increases expected IRR but also widens dispersion, creating both a fatter upside tail and a higher probability of capital loss.

Figure 3. Distribution of equity returns under low, moderate, and high leverage.
Distribution of equity returns under low, moderate, and high leverage
Source: the author.

Higher leverage raises expected returns but materially increases downside risk.

For junior bankers, the key lesson is that leverage is a design choice with consequences. A robust analysis interrogates downside resilience, covenant headroom, and the coherence between capital structure and strategy.

The role of investment banks

Investment banks play a central role in structuring and advising on leverage. On buy-side mandates, they assist sponsors in negotiating financing packages and ensuring proposed leverage aligns with market appetite. On sell-side mandates, they help sellers compare bids not only on price, but on financing certainty and execution risk.

Conclusion

Leverage sits at the heart of LBO economics, but its effects are often oversimplified. For analysts, the real skill lies in linking model outputs to a coherent economic narrative about cash flows, debt service, and downside resilience.

Related posts on the SimTrade blog

   ▶ Alexandre VERLET Classic brain teasers from real-life interviews

   ▶ Emanuele BAROLI Interest Rates and M&A: How Market Dynamics Shift When Rates Rise or Fall

   ▶ Bijal GANDHI Interest Rates

Useful resources

Academic references

Fama, E. F., & MacBeth, J. D. (1973). Risk, Return, and Equilibrium: Empirical Tests. Journal of Political Economy, 81(3), 607–636.

Koller, T., Goedhart, M., & Wessels, D. (2020). Valuation: Measuring and Managing the Value of Companies (7th ed.). Hoboken, NJ: John Wiley & Sons.

Axelson, U., Jenkinson, T., Strömberg, P., & Weisbach, M. S. (2013). Borrow Cheap, Buy High? The Determinants of Leverage and Pricing in Buyouts. The Journal of Finance, 68(6), 2223–2267.

Kaplan, S. N., & Strömberg, P. (2009). Leveraged Buyouts and Private Equity. Journal of Economic Perspectives, 23(1), 121–146.

Gompers, P. A., & Lerner, J. (1996). The Use of Covenants: An Empirical Analysis of Venture Partnership Agreements. Journal of Law and Economics, 39(2), 463–498.

Business data

PitchBook

About the author

The article was written in January 2026 by Ian DI MUZIO (ESSEC Business School, Master in Finance (MiF), 2025–2027).

   ▶ Read all posts written by Ian DI MUZIO

Quantifying the Gap: Why AI Productivity will fail to Move the Market

Andrei DONTU

In this article, Andrei DONTU (ESSEC Business School, Global Bachelor in Business Administration (GBBA) 2025-2026) explains the gap between the productivity gains and the unrealized returns of the investors regarding the investments in AI.

Introduction

In the current market landscape, “Artificial Intelligence” has become the magic word used to justify almost any valuation. The narrative is simple: AI will trigger a productivity explosion, fundamentally altering the unit economics of global business and ushering in a new era of equity growth. However, when we cut away the marketing icing and look at the underlying economic data, a much more sobering economic reality emerges, one that I call the AI Productivity Myth.

Distributions of Correlations: Stock Growth vs Industrial Stock Growth
”Distributions
Source: ECB data.

The core of this myth is the macroeconomic assumption that a more efficient workforce naturally results in a more valuable stock market. This myth has been debunked on numerous occasions(1) (2), but the disruption created by AI creates new challenges that have to be addressed. To test this, I conducted an extensive analysis on the correlation between labor productivity and stock market returns across European Union countries. The results were startling. The correlation value was only 0.063.

The 0.063 Reality Check

In the world of statistics, a correlation of 0.063 is effectively zero. This figure reveals a profound “missing link” in our economic understanding. For decades, workers in the EU became more efficient and had almost no direct impact on the country’s stock market performance.

In conducting this study, I took the data for the EU member states starting from 2005 until 2025. This time-lapse represents the period following the “.com bubble” and the beginning of the mass adoption of informational systems by many companies. As the cost of owning, operating, and managing these systems became more accessible, it represented a fresh start.

Productivity Trend
Productivity Trend
Source: ECB data.

By computing the productivity with the return on the EURO STOXX, a clear result can be seen: working harder is not making the enterprise more valuable if everyone is capable of implementing similar strategies. At an individual level, some countries can excel in the implementation if the governance facilitates the projection of technology by liberating and promoting innovation. Some good examples would be the Netherlands, a leader in innovation in the technology and information sector, benefiting heavily from the adoption of the internet and outsourcing, and Italy, a counter-example in productivity growth with similarly low growth in the stock market.

Sectoral Correlation
Sectoral Productivity
Source: ECB data.

Although many countries exhibit a significant correlation between growth and productivity, the reality shows that some sectors are driving the general growth. The benefits of the new technologies implemented in the information sector led to a process simplification, reducing the due diligence and accelerating the globalization of the product and market access. While some sectors directly benefited from the implementation of the internet in the processes, the industrial process lagged in showing a similar impact from the internet adoption.

The implementation of the internet resulted in winners and losers, affecting individual companies differently and consolidating the position of global leaders in the industry. Following the .com bubble, many companies disappeared or were acquired by the companies that successfully bypassed the fast-paced changes of the new demands of the customers that encountered a truly global world for the first time (3).

Stock Market Trends
Stock Market Trends
Source: ECB data.

This finding is the “missing link” for the AI Productivity Myth. If thirty years of digital and industrial evolution failed to bridge this gap, investors must ask why AI will be the exception and close the gap. My research suggests that productivity is a measure of how hard an economy works, whereas stock growth is a measure of how much of that work shareholders actually get to keep. In the EU, these two variables operate in parallel universes and vary vastly from one country to another.

Individual Correlation: Productivity vs Stock Growth
Stock Market Trends
Source: ECB data.

Echoes of the Internet Boom

In the late 1990s, the Internet was the “disruptive power” that promised a new era of high profits from internet sales, showing positive sentiment in the new technology (4). Specialists discussed the exponential implementation of the internet and how all companies will use it in maximizing their profits and directly impacting the prices of the stocks. Many investors were unaware of the risk involved in the investments in new technologies, and focused solely on the possible returns from their investments. The promise was very similar to the AI’s, the internet will revolutionize the world, creating a massive leap in how we exchange information.

Although the information travelled faster and everyone was benefiting from the effects of a “smaller world”, it backfired. While the technology succeeded, the investments often failed. When the bubble burst in 2000, it wasn’t because the internet stopped working; it was because the market momentum had far outpaced the actual ability of companies to turn that efficiency into profit.

Today, AI is facing the same exaggerated expectations. Investors are paying premium prices for the hope of future productivity, but they are ignoring thehardships of the adoption gap: the period where companies spend billions on Graphic Processing Units(GPU), the core of the AI systems, and energy without seeing a single cent of increased margin. This gold rush after the current stock of GPUs is leading to a speculative movement over their importance and short product cycles, leading to slow amortizations for ⅚ years, while in reality they become obsolete in ⅔ years(5).

The “Blurriness” of AI Returns

The “blurriness” of Large Language Models (LLMs) refers to the difficulty in measuring their return on investment (ROI). The investment in AI chips, developing agents, and managing data centers comes into effect without prior benchmarks on how such investments should be estimated, and it is hard to quantify their success in monetary terms or advantages against the competitors. Unlike a new factory machine that produces 10% more widgets, an LLM’s impact on knowledge and streamlining is harder to capture on a balance sheet.

  • The CapEx Trap: Companies are engaged in an “Arms Race,” spending record amounts on infrastructure. Firms are paying considerable amounts on implementation costs (licensing, retraining, power, cloud, cybersecurity,etc.), but often eats up the savings the AI was supposed to generate.
  • The Perfect Competition Paradox: If every firm uses AI to work 50% faster, no single firm has a competitive advantage. Competition forces them to lower prices, passing the productivity gain to the consumer while the investor is left with higher tech costs and lower retention of both earnings and customers.
  • Front-Running the Gains: The stock market is forward-looking. Most expected gains are already baked into today’s prices. When a company finally reports a “good” productivity increase, the stock may drop because it wasn’t the “miraculous” increase the market demanded to justify its valuation.

Conclusion: Why the Low Correlation Matters

The key takeaway is the danger of the 0.063 correlation. It proves that efficiency is the tool for survival, but not a guaranteed engine for wealth. In the European Union (EU), efficiency gains are frequently absorbed by regulatory compliance, labor costs, and competitive pricing before they ever reach the bottom line.

Why should I be interested in this post?

As we move through 2026, the “blurriness” of AI will likely resolve into a clear picture of high costs and incremental gains. For everyone, the lesson should be clear: do not mistake a technological revolution for a guaranteed stock market return. In an environment where the correlation between productivity and returns is as low, the “AI Myth” is a luxury that few can afford to believe in.

Other SimTrader Blogs:

   ▶ Mahé FERRET Behavioral Finance

References

(1) Chun, H., Kim, J. W., & Morck, R. (2016). Productivity growth and stock returns: firm-and aggregate-level analyses. Applied Economics, 48(38), 3644-3664.

(2) Pellegrini, C. B., Romelli, D., & Sironi, E. (2011). The impact of governance and productivity on stock returns in European industrial companies. Investment management and financial innovations, (8, Iss. 4), 20-28.

(3) Johansen, A., & Sornette, D. (2000). The Nasdaq crash of April 2000: Yet another example of log-periodicity in a speculative bubble ending in a crash. The European Physical Journal B-Condensed Matter and Complex Systems, 17(2), 319-328.

(4) Bandyopadhyay, S., Lin, G., & Zhang, Y. (2001). A critical review of pricing strategies for online business models.

(5) Lifespan of AI chips- the 300 billion question

Data sources:

European Central Bank EURO STOXX

European Central Bank~Productivity Growth

MSCI Report

About the author

The article was written in January 2026 by Andrei DONTU (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2025-2026).

   ▶ Read all posts written by Andrei DONTU