Option Greeks – Vega

January 30, 2024August 19, 2021 by Akshit GUPTA

Option Greeks – Vega

This article written by Akshit GUPTA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) explains the technical subject of vega, the option Greek used in option pricing and hedging to take into account the volatility of the underlying asset.

Introduction

Vega is a type of option Greek which is used to compute the sensitivity or rate of change of the value of an option contract with respect to the volatility of the underlying asset. The Vega is denoted using the Greek letter (ν). Essentially, the vega is the first partial derivative of the value of the option contract with respect to the volatility of the underlying asset.

The vega formula for an option is given by

Formula for the gamma

Where V is the value of the option contract and σ is the volatility of the underlying asset.

If the Vega is a very high positive or a negative number, this means that the option price is highly sensitive to the volatility of the underlying asset. The Vega is maximum when the option price is at the money. For example, the strike of an option contract is €100, and the price of the underlying asset is €100. The option is at the money (ATM) and has an intrinsic value of zero. So, the option premium entirely consists of the time value of the option. Thus, the Vega is the highest for at the money option contract since the option value are mostly dependent on the time value (sometimes called the extrinsic value). An increase/decrease in volatility can change the option value significantly for at-the-money options.

Figure 1 below represents the vega of a call option as a function of the price of the underlying asset. The parameters of the call option are a maturity of 3 months and a strike of €100. The market data are a price of the underlying asset between €50 and €150, a volatility of the underlying asset of 40%, a risk-free interest rate of 3% and a dividend yield of 0%.

Figure 1. Vega of a call option as a function of the price of the underlying asset.

Source: computation by the author (Model: Black-Scholes-Merton).

Calculating the vega for call and put options

The vega for a European call or put option is calculated using the following formula:

Formula for the gamma

where

N’(d₁) represents the first order derivative of the cumulative distribution function of the normal distribution given by:

First_ derivative_Normal_distribution_d1

and d₁ is given by:

Formula for d1

where S is the price of the underlying asset (at the time of valuation of the option), σ the volatility in the price of the underlying asset, T time to option’s maturity, K the strike price of the option contract and r the risk-free rate of return.

Example for calculating vega

Let us consider a call option contract with the following characteristics: the underlying asset is an Apple stock, the option strike price (K) is equal to $300 and the time to maturity (T) is of one month (i.e. 0.084 years).

At the time of valuation, the price of the Apple stock (S) is $300, the volatility (σ) of Apple stock is 30% and the risk-free rate (r) is 3% (market data).

The vega of the call option is approximately equal to 0.3447963.

Using the above value, we can say that due to a 1% change in the volatility of the underlying asset, the price of the option will change approximately by $0.3447.

Excel pricer to calculate the vega of an option

You can download below an Excel pricer (based on the Black-Scholes-Merton or BSM model) to calculate the vega of an option (call or put).

Useful resources

Hull J.C. (2015) Options, Futures, and Other Derivatives, Ninth Edition, Chapter 19 – The Greek Letters, 424–431.

Wilmott P. (2007) Paul Wilmott Introduces Quantitative Finance, Second Edition, Chapter 8 – The Black Scholes Formula and The Greeks, 182-184.

About the author

Article written in August 2021 by Akshit GUPTA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Cash flow statement

August 18, 2021 by Bijal GANDHI

Cash flow statement

In this article, Bijal GANDHI (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) explains the meaning of cash flow statement.

This read will help you understand in detail the meaning, structure, components of cash flow statement along with relevant examples.

Cash Flow statement

The cash flow statement is one of the three most important financial statements which acts as a bridge between the balance sheet and the income statement. It is a summary of all the cash and cash equivalents that have entered or left the company in the previous years. It helps to understand how well a company manages its cash position. In many countries, it is a mandatory part of the financial statements for large firms.

Structure of Cash Flow statement

The cash flow statement is divided into three of the following major activity categories: operating activities, investing activities and financing activities.

Cash from operating activities

The operating activities includes all the sources and uses of cash related to the production, sale and delivery of the company’s products and services. Few examples of the operating activities include,

• Sale of goods & services
• Payments to suppliers
• Advertisements and marketing expenses
• Rent and salary expenses
• Interest payments
• Tax payments

Cash from investing activities

As the name suggests, investing activities includes all those sources and use of cash from a company’s investments, assets, and equipment. A few examples of investing activities include,

Purchase and sale of an asset
Loans to suppliers
Loans received from customers
Expenses related to mergers and acquisitions

Cash from financing activities

Financing activities are those that include all the sources and use of cash from investors. All the inflow and outflow of cash such as,

Capital raised through sale of stock
Dividends paid
Interest paid to bondholders
Net borrowings
Repurchase of company’s stock

LVMH Example: Cash Flow Statement

Here, we again take the example of LVMH. The French multinational company LVMH Moët Hennessy Louis Vuitton was founded in 1987. The company headquartered in Paris specializes in luxury goods and stands at a valuation of $329 billion (market capitalization in June 2021). It is a consortium of 75 brands controlled under around 60 subsidies. Here, you can find a snapshot of LVMH Cash flow statement for three years: 2018, 2019 and 2020.

Credit Rating

Importance and use of cash flow statement

The cash flow statement is a very important indicator of the financial health of a company. This is because a company might make enough profits but might run out of cash to be able to operate. Also, it indicates the company’s abilities to meet its interest obligations and dividend payments if any. Basically, it provides a true picture of a company’s liquidity and financial flexibility. Therefore, a cash flow statement used in conjunction with the income statement and the balance sheet helps provide a holistic view of a company’s strength and weaknesses. The cash flow statement is therefore of great use to the following stakeholders:

Potential and current debtholders (creditors and bondholders)
Potential and current shareholders
Management team and company’s directors

About the author

Article written in July 2021 by Bijal GANDHI (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Operating vs Non-Operating Revenue

August 18, 2021 by Bijal GANDHI

Operating vs Non-Operating Revenue

In this article, Bijal GANDHI (ESSEC Business School, Master in Management, 2019-2022) explains the difference between operating and non-operating revenue.

This read will help you understand in detail various terminologies related to revenue and income statement.

What is operating revenue?

The revenue generated from the primary or core activities of a company is referred to as operating revenue. It is important to differentiate between operating and non-operating revenue to gain insights into the efficiency of a firm’s core operations.

For example, the revenue generated from the total sale of iPhones worldwide is an operating revenue for Apple, whereas the revenue generated from sale of old office furniture would be a non-operating revenue.

What is non-operating revenue?

Non-Operating revenue refers to the revenue generated from operations that are not part of a company’s core business. The items in this section are generally unique in nature and therefore they do not show a true picture of the efficiency of a company’s core business. It is rather attributable to a company’s managerial and financial decisions.

For example, research grants obtained by universities are non-operating revenues as they are not generated from the core business (tuition fees).

How are revenue recorded in the income statement?

We know from the income statement that the COGS is deducted from revenue to derive the gross profit. The operating expenses are further deducted from the gross profit to attain the operating profit. The non-operating revenues and expenses are then combined and deducted from the operating profit to derive the net profit.

LVMH example

Let us once take the example of Moët Hennessy Louis Vuitton (LVMH). The French multinational company LVMH was founded in 1987. The company headquartered in Paris specializes in luxury goods and stands at a valuation (market capitalization in June 2021) of $329 billion. It is a consortium of 75 brands controlled under around 60 subsidiaries. Here, you can find a snapshot of LVMH Income statement for three years: 2018, 2019 and 2020.

Here, you can see that the highlighted part; “other financial income and expenses” are combined to derive the net profit before taxes

About the author

Article written in August 2021 by Bijal GANDHI (ESSEC Business School, Master in Management, 2019-2022).

Option Greeks – Gamma

February 4, 2024August 8, 2021 by Akshit GUPTA

Option Greeks – Gamma

This article written by Akshit GUPTA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) presents the technical subject of gamma, an option Greek used in option hedging.

Introduction

Gamma is a type of option Greek which is used to compute the sensitivity or rate of change of delta (Δ) of an option contract with respect to a change in the price of the underlying in the option contract (S). The gamma of an option is expressed in percentage terms. Denoted by the Greek letter (Γ), the gamma is defined by

Formula for the gamma of an option

Where (Δ) is the delta of the option and S the price of the underlying asset.

Essentially, the gamma is the second partial derivative of the value of the option contract (V) with respect to the price of the underlying asset (S). It measures the convexity of the value of the option contract with respect to the price of the underlying asset. The gamma then corresponds to

Formula for the gamma of an option

Where V is the value of the option and S the price of the underlying asset.

The gamma of an option contract is at its maximum when the price of the underlying asset is equal to the strike price of the option (an at-the-money option). If the price of the underlying moves deeper in the money or out of the money, the value of the gamma approaches zero.

The gamma as a function of the price of the underlying asset for a call option is given below.

Figure 1. Gamma of a call option.

Source: computation by the author (Model: Black-Scholes-Merton).

Also, if the gamma of the option contract is small, it means that the delta of the option moves slowly with the price of the underlying asset.

Calculating gamma for call and put options

The gamma for European call or put options on a non-dividend paying stock is calculated using the following formula from the Black-Scholes-Merton model is:

Formula for the gamma of a call/put option

Where,N’d₁ represents the first order derivative of the cumulative distribution function of the normal distribution given by:

First_ derivative_Normal_distribution_d1

and d₁ is given by:

Formula for d1.png

Where S is the price of the underlying asset (at the time of valuation of the option), σ the volatility in the price of the underlying asset, T time to option’s maturity, K the strike price of the option contract and r the risk-free rate of return.

Excel pricer to calculate the gamma of an option

You can download below an Excel file for an option pricer (based on the Black-Scholes-Merton or BSM model) which allows you to calculate the gamma of a European-style call option.

Delta-gamma hedging

A trader holding a portfolio of option contracts uses gamma hedging to offset the risks associated with the price movement in the underlying asset by buying and selling the option contracts to maintain a constant delta. Generally, the delta is maintained near or at the zero level to attain delta neutrality. The neutrality in the gamma for the option is required to protect the portfolio’s value against sharp price movements in the price of the underlying asset.

Formula for the gamma hedging of a call option

Limitations of gamma hedging

The limitation of gamma hedging includes the following:

Transaction cost – Gamma hedging requires constantly monitoring the markets and buying or selling the option contracts. Due to this practice of buying and selling frequently, the transaction costs are quite high to execute a gamma hedge. Thus, gamma hedging is an expensive strategy to practice.
Loosing delta neutrality – Whenever a trader executes a gamma hedge and trades in option contracts, it is often accompanied with a move in the portfolio’s delta. Thus, to achieve delta neutrality again, the trader must buy or sell additional quantities of the underlying asset, which is time consuming and comes with a transaction cost.

Useful resources

Hull J.C. (2015) Options, Futures, and Other Derivatives, Ninth Edition, Chapter 19 – The Greek Letters, 424–431.

Wilmott P. (2007) Paul Wilmott Introduces Quantitative Finance, Second Edition, Chapter 8 – The Black Scholes Formula and The Greeks, 182-184.

About the author

Article written in August 2021 by Akshit GUPTA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Option Greeks – Delta

February 4, 2024August 5, 2021 by Akshit GUPTA

Option Greeks – Delta

This article written by Akshit GUPTA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) presents the technical subject of delta, an option Greek used in option pricing and hedging.

Introduction

Option Greeks are sophisticated financial metric used by trader to calculate the sensitivity of option contracts to different factors related to the underlying asset including the price of the underlying, its volatility, and time value. The Greeks are used as an effective tool to practice different hedging strategies and eliminate risks in a position. They also help to optimize the options positions at any point in time.

Delta is a type of option Greek which is used to compute the sensitivity or rate of change in price of the option contract with respect to the change in price of the underlying asset. It is denoted by the Greek letter (Δ). The formula for calculating the delta of an option contract is:

Formula for the delta of an option

Where V is the value of the option and S the price of the underlying asset.

For example, if an option on Apple stock has a delta of 0.3, it essentially means that a $1 change in the price of the underlying asset i.e., Apple stock, will lead to a change of $0.3 in the price of the option contract.

When a trader takes a position based on the delta sensitivity of any option contract, it is called delta hedging. The goal is to achieve a delta-neutral portfolio and eliminate the risks associated with movement in the prices of the underlying. Due to the complexity of the tool, delta hedging is generally practiced by professional traders in large financial institutions. In options, the delta of any call option is always positive whereas the delta of a put option is always negative.

Delta formula

Call option

According the Black-Scholes-Merton model, the formula for calculating the delta for a European-style call option on a non-dividend paying stock is given by:

Formula for the delta of a call option

Where N represents the cumulative distribution function of the normal distribution and d₁ is given by:

Formula for d1

Where S is the price of the underlying asset (at the time of valuation of the option), σ the volatility in the price of the underlying asset, T time to maturity of the option, K the strike price of the option, and r the risk-free rate of return.

Put option

According the Black-Scholes-Merton model, the formula for calculating the delta for a European-style put option on a non-dividend paying stock is given by:

Formula for the delta of a put option

Delta as a function of the price of the underlying asset

Call option

The delta as a function of the price of the underlying asset for a European-style call option is represented in Figure 1.

Figure 1. Delta of a call option.

Source: computation by the author (Model: Black-Scholes-Merton).

For a call option, the delta increases from 0 (out-of-the-money option) to 1 (in-the-money option).

Put option

The delta as a function of the price of the underlying asset for a European-style put option is represented in Figure 2.

Figure 2. Delta of a put option.

Source: computation by the author (Model: Black-Scholes-Merton).

For a put option, the delta increases from -1 (in-the-money option) to 0 (out-of-the-money option).

Excel pricer to calculate the delta of an option

You can download below an Excel file for an option pricer (based on the Black-Scholes-Merton or BSM model) which allows you to calculate the delta of a European-style call option.

Delta Hedging

A trader holding an option contract uses delta hedging to offset the risks associated with the price movement in the underlying asset by continuously buying and selling the underlying asset to achieve delta neutrality. This is used by option traders in financial institutions to manage their option book (the delta is computed at the option level and aggregated at the book level) and generate the margin the bank of the option writing activity.

The delta of an option contract keeps on changing as the prices of the underlying and the option contract changes. So, to maintain the delta neutrality the trader must constantly monitor the markets and execute trades to achieve neutrality. The process of continuously buying or selling the underlying asset is called dynamic hedging in options.

At the first order, the change of the value of a delta-hedged call option over the period from t to t+ δt would be equal to the risk-free rate (r) over the period:

Formula for the delta hedging of a call option

Limitations of delta hedging

Although delta hedging is a useful tool to offset the risks associated to the movement in the price of an underlying, it comes with some limitations which are:

Transaction cost

Since delta hedging requires constantly buying or selling the underlying asset, it comes with a high transaction cost. This makes delta hedging an expensive tool to optimize the portfolio against price risk. In practice, traders would adjust their option position from time top time.

Illiquid Markets

When the market for an asset is illiquid, it is difficult to practice delta hedging as the trader will not be able to constantly buy or sell the underlying asset to neutralize the price impact.

Example for calculating delta

At the time of valuation, the price of the Apple stock (S) is $300, the volatility (σ) of Apple stock is 30% and the risk-free rate (r) is 3% (market data).

The delta of a call option is approximately equal to 0.50238.

Using the above value, we can say that due to a $1 change in the price of the underlying asset, the price of the option will change by $0.50238.

Useful resources

Research articles

Black F. and M. Scholes (1973) The Pricing of Options and Corporate Liabilities The Journal of Political Economy, 81, 637-654.

Merton R.C. (1973) Theory of Rational Option Pricing Bell Journal of Economics, 4(1): 141–183.

Books

Hull J.C. (2015) Options, Futures, and Other Derivatives, Ninth Edition, Chapter 19 – The Greek Letters, 424 – 431.

Wilmott P. (2007) Paul Wilmott Introduces Quantitative Finance, Second Edition, Chapter 8 – The Black Scholes Formula and The Greeks, 182-184.

About the author

Article written in August 2021 by Akshit GUPTA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

The return of inflation

August 2, 2021 by Alexandre VERLET

The return of inflation

In this article, Alexandre VERLET (ESSEC Business School, Master in Management, 2017-2021) explains how inflation could become an issue again for the first time in 40 years.

Inflation is not something we usually worry about. In fact, few understand what inflation is about beyond the fact that it is characterized by a rise in prices. But since inflation has been around for 40 years without causing any problem, it seems to be absolutely not dangerous and perfectly controlled by central banks. Problem is, the Covid-19 crisis and the economics policies launched by governments and central banks in response are unprecedented. Moreover, an excess of inflation can be a major problem for developed economies: the UK in the 1970’s was Europe’s sick man and had to revolutionize its economy the hard way in order to get out of its stagflation spiral.

So why are we talking about a 40 year old subject? Because for several weeks now, markets have been worried about a sustained return of inflation. Fantasy for some, harsh reality for others: the scenario of a sustainable return of inflation is far from unanimous among economists. None of them, however, disputes the appearance of signals favorable to an at least temporary rise in prices, even if the extent of the phenomenon is debated. Indeed, the latest figures from the United States speak for themselves: in April, prices there rose by 4.2% over one year. This is the first time since September 2008 that the markets have been particularly nervous in recent days. In the euro zone, inflation, although more moderate (+1.6% year-on-year), also seems to be accelerating as economies are recovering from the crisis.

What is inflation and what is causing it to return?

To put it simply, inflation is the sustained rise of general prices over a period of time. It is calculated using a basket of products in which their weight in the GDP is taken into account so the basket represents the economy as a whole. The causes of inflation can be derived from a simple phenomenon: the imbalance between supply and demand of good. In our case, all the ingredients were in place for a rise in prices. Initially, the end of the Covid-19 epidemic in China and the roll-out of the vaccination campaign, particularly in the United States, contributed to the sudden rebound in global demand. But the supply side was not able to keep up with the movement and meet all the needs, since supply chains and production processes are still disorganized. Adding to that, some countries remain closed, and global supply chains cannot be restarted overnight after more than a year of pause. As a result, bottlenecks have developed in some sectors and manufacturers are now facing shortages of raw materials. Companies must also adapt their production processes under the Covid-19 regulation, and all this has a cost.This automatically leads to higher production costs, which companies pass on in their prices.

Beyond the tensions on the goods and services market, other signals are worrying the markets across the Atlantic. Starting with Joe Biden’s three stimulus plans, which will involve almost 30% of US GDP. These massive plans, which are flourishing both in the United States and in Europe, are encouraged by the central banks’ accommodating policy and their unlimited power of money creation which, through asset purchases, allow governments to go into debt at lower cost. But by injecting so much money to stimulate demand, the Fed and the White House are taking the risk of putting the US economy in a state of overheating which could lead to a surge in prices in the US and, by contagion, in Europe. This is the principle of the quantitative theory of money developed by the economist Milton Friedman in 1970 when he stated that “inflation is always and everywhere a monetary phenomenon in the sense that it is and can be generated only by an increase in the quantity of money faster than the increase in output. The other phenomenon fueling fears of a sustained acceleration in prices is the tightness in the US labor market. Some sectors are facing a shortage of labor, including low-skilled workers, which could restart the “wage-price loop”. Several companies, including McDonald’s and Amazon, have already announced a significant increase in their minimum wage and attractive hiring bonuses to attract new candidates to the United States.

How would the return of the inflation impact us?

If it does not exceed a certain level, inflation is not necessarily harmful to the economy and can even be good for some. Keep in mind that the European Central Bank is aiming for an inflation rate close to but below 2% per year. The markets fear the return of inflation, but everyone is waiting for this inflation. Since 2008, the world entered a phase of low inflation but also of risk of deflation. While rising prices cause consumers to lose purchasing power in the short term, they often result in higher wages in the medium term. Not least because the French minimum wage is indexed to inflation, as are a number of social benefits. And an increase in the minimum wage most often results in an increase in the lowest wages, as explained by INSEE in a study on wages in France. In addition, employee representatives usually use inflation as a reason to obtain wage increases during annual negotiations in the company. If the employer accepts an increase at least equal to that of prices, then the purchasing power of employees remains stable. But one of the main winners from an acceleration of inflation is the state. When prices rise across the board, tax revenues increase. Another positive consequence is that inflation increases the capacity to repay public debt, since it increases nominal GDP and thus reduces the debt/GDP ratio. The same mechanism applies to all borrowers. At least if wages keep pace with inflation over time. Let us take the case of an employee earning 2000 euros per month. This person has taken out a fixed-rate loan with a monthly payment of 500 euros. Let us also assume an inflation rate of 2% for three consecutive years. Assuming that wages increase at the same rate, the employee will receive 2122 euros per month three years later but will still have to continue to repay 800 euros. His debt ratio would then fall from 32% to 30%. It would then be easier for him to repay his loan. The opposite is true for savers. When inflation is higher than the rate of return on savings, which is the case for the Livret A, the real return becomes negative. This means that the capital invested loses value. Finally, civil servants or pensioners can also be the big losers of a return of inflation if their income is not revalued in line with inflation, as has been the case in recent years. Provided that it is not excessive, inflation is not always a bad thing and is even often synonymous with growth. The question is therefore to know how much inflation will be and whether it will be sustainable.

In the current context, the prospect of uncontrolled inflation cannot be ruled out. The pre-existing equilibrium was not one of non-existent inflation, but one of well-anchored inflation expectations. The extremely accommodating fiscal and monetary policies are now threatening that balance.

If private agents start to doubt the willingness and ability of their central bank to defend price stability, then expectations may be derailed and a return to normal inflation would require huge sacrifices. To prevent expectations from deteriorating further, the central bank would be forced to absorb liquidity by a reverse quantitative easing, which would cause a rise in long-term rates and a contraction in economic activity. As a consequence, the ability of States to take on debt would become severely limited, which would threaten the sustainability of post-covid recovery plans.

Should we worry about the future because of inflation?

The inflation threat should be definitely be treated seriously by central banks. Nevertheless, the scenario of an uncontrolled inflation remains unlikely, especially in Europe where the stimulus package were far from the size of Biden’s plan. Firstly, the rise in prices in the United States is largely temporary. The shortage of raw materials and labor will eventually fade, so the resulting inflation should do the same. Secondly, the inflation figures observed in April should be put into perspective as they reflect a catch-up phenomenon. Indeed, demand had fallen at the same time last year due to the confinement, which had also pushed prices down. It should also be noted that the increase in prices in the US is highly sectorised: one third of the monthly inflation in April was linked to the evolution of second-hand car prices. And if we exclude volatile prices such as energy and food, US inflation reached 3% over one year. For their part, central banks such as the US Fed point out that a number of deflationary elements have not disappeared, starting with unemployment, which puts the risk of wage inflation into perspective. If inflation anticipations are still strong enough to offset those two trends, central banks will have to raise key rates to cool the economy in order to limit price increases. It would then be the end of the years of “free money”, and that is something that will impact all of us as potential borrowers. So keep an eye on economic indicators over the next few months!

About the author

Article written in August 2021 by Alexandre VERLET (ESSEC Business School, Master in Management, 2017-2021).

Understanding financial derivatives: options

August 2, 2021 by Alexandre VERLET

In this article, Alexandre VERLET (ESSEC Business School, Master in Management, 2017-2021) explains why financial markets invented options and how they function.

A historical perspective on options

The history of options is surrounded by legends.. This story is linked to human’s desire to control the unpredictable, sometimes to protect himself from it, often to profit from it. This story is also that of a flower: the tulip. At the beginning of the seventeenth century, in the Netherlands, the tulip was at the origin of the first known speculative bubble. Furthermore, this was historically the first time that options contracts were used on such a large scale. The possibility of profiting from the rise in the price of tulips by paying only a small part of the price aroused great interest on the part of speculators, thus increasing the price of the precious flower tenfold. Soon the price of the tulip reached levels completely unrelated to its market value. Then, suddenly, demand dried up, causing the price to fall even faster than the previous rise. The crisis that followed had serious consequences and confirmed Amsterdam’s loss of world leadership in finance to the benefit of London, which had already taken over the Dutch capital as the world’s center for international trade. Educated by the Dutch experience, the British became increasingly sceptical about options, so much so that they eventually banned them for over a century. The ban was finally lifted towards the end of the 19th century. It was also at this time that options were introduced in the United States.

The American options market entered a new dimension at the end of the 20th century. Indeed, 1973 was a pivotal year in the history of options in more ways than one. In March 1973, a floating exchange rate regime was adopted as the standard for converting international currencies, creating unprecedented instability in the currency market. This was also the year of the “first oil shock”. Also in 1973, the Chicago Board Options Exchange (CBOE), the first exchange entirely dedicated to options, opened its doors. The same year saw the birth of the Options Clearing Corporation (OCC), the first clearing house dedicated to options. Finally, 1973 saw the publication of the work of Fischer Black and Myron Scholes. This work was completed by Robert Merton, leading to the Black-Scholes-Merton model. This model is of capital importance for the evaluation of the price of options.

What’s an option?

There are two types of option contracts: calls and puts. Since these contracts can be both bought and sold, there are four basic transactions. Thus, in options trading, it is possible to either go long (buy a call contract, buy a put contract), or to be short (sell a call contract, sell a put contract). An option contract can therefore be defined as a contract that gives the counterparty buying the contract (the long) the right, but not the obligation, to buy or sell an asset (the underlying) at a predetermined price (the strike price), date (the maturity date) and amount (the nominal value). It is useful to note that the counterparty selling the contracts (the short) is in a completely different situation. This counterparty must sell or buy the underlying asset if the transaction is unfavorable to it. However, if the transaction is favorable, this counterparty will not receive any capital gain, because the counterparty buying the contract (the long) will not have exercised its call option. To compensate for the asymmetry of this transaction, the counterparty selling the option contracts (the short) will receive a premium at the time the contract is initiated. The selling counterparty therefore has a role similar to that of an insurance company, as it is certain to receive the premium, but has no control over the time of payment or the amount to be paid. This is why it is important to assess the amount of the premium.

The characteristic of an option contract

Options contracts can have as underlying assets financial assets (interest rates, currencies, stocks, etc.), physical assets (agricultural products, metals, energy sources, etc.), stock or weather indices, and even other derivatives (futures or forwards). The other important feature of an option contract is its expiration date. Options contracts generally have standardized expiry dates. Expiry dates can be monthly, quarterly or semi-annually. In most cases, the expiration date coincides with the third Friday of the expiration month. In addition, options whose only possible exercise date is the maturity date are called European options. However, when the option can be exercised at any time between signing and expiration, it is called an American option. Ultimately, what will drive the holder of an option contract to exercise his right is the difference between the underlying price and the strike price. The strike price is the purchase or sale price of the underlying asset. This price is chosen at the time the option contract is signed. The strike price will remain the same until the end of the option contract, unlike the price of the underlying asset, which will vary according to supply and demand. In organised markets, brokers usually offer the possibility to choose between several strike prices. The strike price can be identical to the price of the underlying asset. The option is then said to be “at-the-money” (or “at par”).

In the case of a call, if the proposed strike price is higher than the price of the underlying, the call is said to be “out of the money”.

Are you “in the money”?

Let’s take an example: a share is quoted at 10 euros. You are offered a call with a price of 11 euros. If we disregard the premium, we can see that a resale of the call, immediately after buying it, will result in a loss of one euro. For this reason, the call is said to be “out of the money”. On the other hand, when the strike price offered for a call is lower than the price of the underlying asset, the call is said to be “in the money”. Another example: the stock is still trading at 10 euros. This time you are offered a call with a strike price of 9 euros. If you disregard the premium, you can see that you earn one euro if you sell the call immediately after buying it. This is why this call is called “in the money”. Note that our potential gain of one euro is also called the “intrinsic value” of the call. Of course, the intrinsic value is only valid for “in the money” options. For puts, it is the opposite. A put is said to be “out of the money” if its strike price is lower than the price of the underlying asset.

Finally, a put is said to be “in the money” if its strike price is higher than the price of the underlying asset. If you are one of those people who think that you can make money with options by simply buying and selling calls or puts “in the money”, I have bad news for you! In reality, the premiums of the different contracts are calculated in such a way as to cancel out the advantage that “in the money” contracts offer over other contracts.

Useful resources

ISDA

About the author

Article written in July 2021 by Alexandre VERLET (ESSEC Business School, Master in Management, 2017-2021).

Cryptocurrencies

July 31, 2021 by Alexandre VERLET

Cryptocurrencies

In this article, Alexandre VERLET (ESSEC Business School, Master in Management, 2017-2021) explores explores the latest and most fashionable investment trend.

They are everywhere on the news, in (young) people’s daily conversations, and probably in a corner of your head if you have already invested a bit of money in them. Cryptocurrencies are a daily drama, as it allows people to make or lose big money in record time. Everyone’s heard of it, but few people actually understand where cryptos come from and how they work. You may not necessarily need that to invest in them in the short term, as simply following Elon Musk on twitter might be a quicker and more efficient way to predict its evolution. But in the long run, and to understand the impact it will have on society, you need to know what’s going on. For some, it might become an actual currency in the coming years and will compete with the national currencies. For others, regulation will eventually tame cryptos and people will therefore lose interest in them. What’s for sure is that a public debate will arise at some point, and you might as well have the keys to understand cryptos so you can forge your own opinion. So here we go.

What is a cryptocurrency?

In a nutshell, it’s a virtual currency. What makes it a completely different and original currency is that it is not centrally managed; in other terms, it is the user who has full control over the cryptocurrency in their possession (peer-to-peer). This process is done through the implementation of Blockchain technology: the latter is a distributed and decentralized data storage and transmission technology at its core. The most frequently used analogy is that of a ledger that is accessible to all, indestructible and unpublishable once the data is embedded in the system. Like cryptocurrency, the Blockchain also relies on peer to peer to operate in a decentralized manner. Note that Blockchain can be used for much more than cryptocurrency; being a database, this technology represents a potentially huge evolution in the way we (businesses) deal with data. However, it was with the advent of Bitcoin, the first of many cryptocurrencies, that the distributed blockchain was seen as a potential successor to existing storage technology. The main cryptocurrencies are Bitcoin- the world’s most widely used and legitimate cryptocurrency-, Ethereum – founded in 2015 and known for its enhanced architecture using “smart contracts”-, Litecoin – released in 2011, similar to Bitcoin but with a higher programmed supply limit (84 million units vs 21 million).

Where do cryptos come from?

Before cryptos as we know them were invented, some early cryptocurrency proponents already shared the goal of applying cutting-edge mathematical and computer science principles to solve what they perceived as practical and political shortcomings of “traditional” currencies. It goes back to the 1980s when an American cryptographer named David Chaum invented a “blinding” algorithm that allowed for secure, unalterable information exchanges between parties, laying the groundwork for future electronic currency transfers. Then, the late 1990s and early 2000s saw the rise of more conventional digital finance intermediaries, such as Elon Musk’s Paypal. But no true cryptocurrency emerged until the late 2000s when Bitcoin came onto the scene. Bitcoin is widely regarded as the first modern cryptocurrency, because it combined decentralized control, user anonymity, record-keeping via a blockchain, and built-in scarcity. It all began in 2008, when Satoshi Nakamoto (an anonymous person or group of people) published a white paper about the Bitcoin. Nakamoto then released Bitcoin to the public. In 2010, the very first Bitcoin purchase was made: an Internet user exchanged 10,000 Bitcoins for two pizzas. At today’s prices, that would be the equivalent of about 500 million euros: that’s a lot of money for a pizza. By late 2010, dozens of other cryptocurrencies started popping out as more and more people started to mine and exchange cryptos. It grew in legitimacy when it became accepted as a means of payment by major companies, such as WordPress, Microsoft or Tesla. As of May 2021, the cryptos’ market cap is $2 trillion.

How do cryptos work?

There are several concepts that you should know about in order to get how cryptos work. Cryptocurrencies use cryptographic protocols, or extremely complex code systems that encrypt sensitive data transfers, which make cryptos them virtually impossible to break, and thus to duplicate or counterfeit the protected currencies. These protocols also mask the identities of cryptocurrency users.Then the crypto’s blockchain records and stores all prior transactions and activity, validating ownership of all units of the currency at all times. Identical copies of the blockchain are stored in every node of the cryptocurrency’s software network — the network of decentralized server farms, run by miners, that continually record and authenticate cryptocurrency transactions. The term “miners” relates to the fact that miners’ work literally creates wealth in the form of brand-new cryptocurrency units. Miners serve as record-keepers for cryptocurrency communities, using vast amounts of computing power, often manifested in private server farms owned by mining collectives that comprise dozens of individuals. The scope of the operation is quite similar to the search for new prime numbers, which requires tremendous amounts of computing power. Miners’ work periodically creates new copies of the blockchain, adding recent, previously unverified transactions that aren’t included in any previous blockchain copy — effectively completing those transactions. Each addition is known as a block, which consist of all transactions executed since the last new copy of the blockchain was created. Sincce the cryptocurrencies’ supply and value are controlled by the activities of their users and highly complex protocols built into their governing codes, not the conscious decisions of central banks or other regulatory authorities, which is why cryptos are said to be decentralized. Although mining periodically produces new cryptocurrency units, most cryptocurrencies are designed to have a finite supply — a key guarantor of value. Generally, this means miners receive fewer new units per new block as time goes on. For instance, if current trends continue, observers predict that the last Bitcoin unit will be mined sometime around 2150.

Why are cryptocurrencies so successful?

You may be wondering why crypto-currencies are gaining so much momentum today. With no intrinsic value, and no commodity to fall back on, economically speaking it makes no sense for this market to reach such an astronomical price. There are two rationales that often come up in the argument for cryptocurrencies. On the one hand, the anonymity via cryptography provided by blockchain technology: as there is very little regulation in this industry yet, one can end up with astronomical amounts of money without necessarily having to pay taxes on it, as there is no centralized body to follow what is going on. The second reason is more sociological: since there are people mining and trading cryptocurrencies, the logic is that they must have value. The consequence is that other people join the rush, and so on until it becomes a global phenomenon. You could call it a crowd movement, or a 21st century digital gold rush.

But these two reasons don’t necessarily answer the question of why Bitcoin and all these other cryptocurrencies are valuable. To get a clear answer, we need to go back to the basics of economics: any value applied to a commodity or currency is subjective. That is, if we, as individuals, see value in it, the commodity in question has value. The snowball effect resulting from a group of people’s growing interest in a commodity is at the origin of any bubble, and from that point of view cryptos are a massive bubble. Which does not mean that it is a bad investment: after all, a bubble is a bubble when it blows up, but it might never happen.

Summary

To sum up, if you want to invest in cryptocurrencies, there are a couple of things you should consider. First, if you’re aiming for the long-term (if you believe cryptocurrencies will keep increasing in value as “deflationary currencies”) or the short-term (pure speculation). Second, you should examine the specific characteristics of the cryptos and see which best fits you in terms of anonymity, growth potential and liquidity. Last but not least, follow the latest regulation announcements on cryptos, such as central banks or governments comments on cryptos, which are a pretty good indicator of the crypto’s evolution on both the long and short term.

About the author

Article written in July 2021 by Alexandre VERLET (ESSEC Business School, Master in Management, 2017-2021).

Inflation and the economic crisis of the 1970s and 1980s

July 31, 2021 by Alexandre VERLET

Inflation and the economic crisis of the 1970s and 1980s

In this article, Alexandre VERLET (ESSEC Business School, Grande Ecole Program – Master in Management, 2017-2021) goes back on the inflation issue of 1970’s/1980’s and the lessons it teaches us for the 2020’s.

In the developed capitalist countries, the fight against inflation became the top priority of economic policy in the 1970s. Georges Pompidou’s famous formula: “better inflation than unemployment” was buried for good. Inflation can be defined as the continuous and self-sustaining rise in the general price level. It is the result of a monetary struggle conducted by the various economic agents to maintain or increase their income or their capital: it has winners and losers. For economic decision-makers, inflation is a “sweet poison”: on the one hand, it is a factor of growth (by stimulating investment and consumption, and at the same time favoring production and employment); on the other hand, it is a danger for this same growth if the rise in prices gets out of hand (trade deficit, capital flight, ruin of savers). By what mechanisms does the inflationary growth of the 1960s give way to the rapid stagflation of 1973-1986?

Low inflationary growth was at the heart of the virtuous circle of the Trente Glorieuses

The Second World War and the post-war period were times of great inflationary pressure due to the large-scale expenditure by governments to finance the war effort, economic reconstruction and the establishment of the welfare state. France struggled with the problems of currency and price stability. Germany had the lowest inflation of the OECD countries since the monetary reform of 1948 and the priority given to a strong currency. Some countries, such as France, had chronic inflation. The debate raged in the years 1945-1952: a man like Mendès-France resigned from the government in 1945 to protest against monetary and budgetary laxity, stating that “distributing money to everyone without taking it from anyone is to maintain a mirage… “(extract from his letter of resignation, June 6, 1945). The growth of the 1950s and 1960s was generally not very inflationary in the developed countries: the Bretton Woods agreements ratified the stability of exchange rates around the dollar, the only reference currency convertible into gold. However, it was not until 1958 that European currencies regained their convertibility. Wartime periods remained inflationary: the Korean War (1950-53), for example, during which there was a rise in the price of raw materials, an increase in public spending in the United States and an increase in the circulation of dollars. From the beginning of the 1950s, once reconstruction had been completed, to the beginning of the 1960s, inflation fluctuated between 1 and 4% per year in the industrial countries. Moreover, Keynesian economic policies aimed to stimulate demand through deficit spending, which created inflation, and then to contain the pressure of demand when tensions were too great, so that inflation was limited. The alternation of stimulus (inflation) and austerity (deflation) took the form of the stop-and-go policy that characterized Great Britain and the United States in the 1950s. Consequently, in a period of full employment, a certain amount of “natural” unemployment is accepted in order to avoid too much pressure on wages and therefore on prices, as demonstrated by the British economist A.W. Philllips (Economica Journal, 1958). Inflation is in this perspective a lesser evil: it is seen as a painless way of financing growth: in fact, it works in favor of companies that go into debt, it has a favorable effect on their financial profitability. In a country such as France, it makes it possible to arbitrate social conflicts by defusing profit/wage tensions (the government negotiates both wage increases and low-cost credit).

The 1960s: the “inflationary spiral” begins to get out of control

From 1961-62 onwards, the developed industrial countries experienced an acceleration in price increases: a significant and lasting rise in inflation, from 3 to 5% until the early 1970s. During this period, there was no significant reduction in unemployment and even a slight increase in the number of job seekers: is this the end of the jobless era? In any case, the Phillips curve seemed to apply more and more poorly to the economic situation. There are several causes for this. Firstly, the growing importance of budget deficits: due to the use of deficit spending in the Keynesian logic; due to the implementation of the welfare state and social programs: for example, in the United States, the New Frontier programs of J.F. Kennedy and the Great Society of L. Johnson. Secondly, the deterioration of the international monetary system: devaluation of the pound sterling, crisis of the dollar at the end of the 1960s. Lastly, the wage increases outstripped productivity gains, which were slowing down: the “crisis of Fordism”: in other words, inflation through wage costs.

The 1973 and 1979 oil shocks

As seen previously, the 1970’s inflation is a consequence of economic phenomena already observed in the 1960’s. However, the two oil shocks were game changers. This time we are talking about cost inflation: the cost of energy supply is at stake, with the price of a barrel of oil multiplying by more than 11 in 1973 and 1979. This explains why inflation continues even when demand is lacking, when there is stagflation and part of the production capacity is unused. During classical crises, overproduction results in a general fall in the price level and a collapse of production, as shown by the Great Depression of the 1930s. On the contrary, during the crisis of the 1970s, prices rose continuously after the two oil shocks of 1973 and 1979, while production was very unstable (after a collapse in 1973-1974, it picked up again in 1975-1976). Inflation was now high: from an average of around 5% per year in the early 1970s, it rose to double-digit figures between 1973 and 1975, and again between 1979 and 1982.

The economic consequences of inflation

The crisis is industrial and commercial: companies’ profits collapse because of rising costs; their international competitiveness is severely damaged because of the relative rise in prices. The crisis is social: the unemployment curve follows that of inflation, but without showing any real inflection between 1973 and 1982: it calls into question the Phillips curve analysis, as there is a simultaneous rise in unemployment and inflation. The number of unemployed in the OECD rose from 10.1 million in 1970 to almost 33 million in 1983, which roughly corresponds to a tripling. European countries seem to be particularly affected: unemployment has multiplied by almost 4 in the same period. The crisis is also financial. On a national scale, part of the population is ruined by rapid inflation (savers, rentiers, farmers, employees), while another part makes significant gains (speculators). On an international scale, the debt of Third World countries literally exploded: from 130 billion dollars in 1973 to more than 660 billion dollars in 1983. Currencies tend to depreciate, which causes a generalized rise in prices: galloping inflation becomes global (Mexico for example). What’s more, Keynesian policies further reinforced the symptoms that had been combated, and were strongly criticized by the monetarist movement. Double-digit inflation makes Keynesian anti-crisis policies ineffective. For example, with an inflation rate of 13.5% in 1980 in France, the inflationary policy of President F. Mitterrand had disastrous effects on the competitiveness of French firms: it wiped out their margins, caused them to lose market share and finally penalized foreign trade. The fight against inflation became the main objective of monetarist policies. For Mr. Friedman, it is necessary to return to Phillips’ interpretation: it applies in a transitory way in the history of capitalism, when economic agents cannot predict or anticipate the rate of inflation. It is no longer a question of explaining inflation by the state of the labor market, but the opposite: it is the inflation anticipated by consumers that explains the tensions on the labor market; he shows that Keynesian recipes increase inflation through money creation without any effect on employment (because consumers anticipate it, consume less, which translates into a reduction in employment among producers). More inflation leads to more unemployment and, in an open economy, a decrease in the competitiveness of companies. The 1970’s crisis sheds light on how inflation works and to what extent the Phillips curve model can be applied to real-world situations. This useful to remember in a time when inflation is coming back for the first time in thirty years.

About the author

Article written in July 2021 by Alexandre VERLET (ESSEC Business School, Grande Ecole Program – Master in Management, 2017-2021).

Throwback to the Karlsruhe vs ECB fight, one year ago

July 31, 2021 by Alexandre VERLET

Throwback to the Karlsruhe vs ECB fight, one year ago

In this article, Alexandre VERLET (ESSEC Business School, Grande Ecole Program – Master in Management, 2017-2021) explores the legal thriller of 2020, in which the opposition between German orthodoxy and the flexible monetary policy came to light.

On May 5th 2020, the Constitutional Court of Karlsruhe released a decision. It stated that the government debt purchase programme performed by the European Central Bank was not in line with the ECB’s mandate under the European treaties. This decision came at a critical time when the ECB implemented a second large-scale quantitative easing programme in response to the Covid-19 economic crisis. You might have just heard the story in the media, but such an event is a key element of 2020’s economic and financial news, as the future of the ECB and the quantitative easing programme are at stake here.

Which part of the ECB’s action is being criticised by the German constitutional court?

Basically, the quantitative easing programme and its public debt paybacks are being targeted in the legal decision. Let us recall what the ECB did exactly. On 22 January 2015, the European Central Bank announced the implementation of an Expanded Asset Purchase Programme (APP or EAPP). This programme provided for asset purchases amounting to €60 billion per month in the secondary market. It aims to provide monetary support to the economy at a time when the ECB’s key interest rates have reached their zero lower bound, by easing financing conditions for companies and households. Investment and consumption should ultimately contribute to a return of inflation to levels close to 2%, in line with the objective of the ECB’s mandate. It should be noted that this programme is distinct from the Outright Monetary Transactions (OMT) initiated in 2012, the primary objective of which is financial stability by reducing the cost of financing for euro area countries. On 4 March 2015, in the context of the EAPP, the ECB Governing Council established a substantial sub-programme of purchases of Member States’ securities, the Public Sector Purchase Programme (PSPP). The PSPP provides for each national central bank to purchase eligible securities from public issuers in its own country according to the capital key for the ECB’s capital subscription. This sub-programme is by far the largest component of the ECB’s unconventional quantitative easing (QE) policy, accounting for almost 84% of the ECB’s net purchases in July 2019, with the remainder split between the other three sub-programmes – the asset-backed securities purchase programme (ABSPP – 8%), the covered bond purchase programme (CBPP3 – 1%) and, since March 2016, the corporate sector purchase programme (CSPP – 7%). 90% of purchases under the CSPP are made in domestic sovereign bonds and 10% are allocated to supranational issuers (international organisations, development banks, etc.).

A highly political decision

The recent decision by the Constitutional Court in Karlsruhe echoes the case brought by German businessman Heinrich Weiss at the start of the PSPP in 2015, which accused the ECB of overstepping its mandate by financing eurozone states – particularly the less creditworthy ones. The Karlsruhe court referred the case to the Court of Justice of the European Union (CJEU) in 2017, which found that the PSPP did not infringe the ECB’s prerogatives. In its decision of 5 May 2020 , the Constitutional Court in Karlsruhe now considers itself competent to rule on the non-compliance of the ECB programme, to contradict the CJEU and to question the Bundesbank’s participation in the PSPP. There is a political significance to this decision, which reflects a real split between Germany and the ECB since the European sovereign debt crisis. The Karlsruhe decision should therefore be understood as the latest disagreement between the traditional German and ECB views, which have been increasingly diverging since 2011. Initially, the ECB’s structures were modelled on the Bundesbank, both in terms of its political independence and its hierarchical mandate. Price stability is the ECB’s primary objective, enshrined in Article 127 of the TEU. To achieve this, its strategy combines both quantitative monetary targeting – again a legacy of the Bundesbank – and inflation targeting. The TEU also provides that “without prejudice to the primary objective of price stability, the ESCB [European System of Central Banks] shall support the general policies in the Union”; the ECB’s mandate thus does not exclude the possibility of a policy whose secondary effects support the growth and employment objectives defined by the Member States. Indeed, the ECB’s bulletins and communiqués show that growth and employment are constant concerns, and the sovereign debt crisis and the arrival of Mario Draghi endorsed a broader interpretation of the ECB’s mandate.The growing divergence between the Bundesbank and the ECB was marked by the recurrent clashes between Mario Draghi, the new ECB head from 2011, and Jens Weidmann, who was appointed President of the Bundesbank in the same year. Jens Weidmann was appointed by Angela Merkel following the resignation of Axel Weber, who was known for his sharp criticism of the debt buyback programme for fragile eurozone states, which would have cost him the ECB presidency for which he was a candidate. Considered at the time of his nomination as less dogmatic than his predecessor, Jens Weidmann nevertheless continued the fight of his predecessor and systematically criticised the ECB’s debt buyback programmes. Shortly after Axel Weber’s resignation, Jürgen Stark, the ECB’s chief economist, had himself resigned in protest at the accommodating policy then being pursued by Jean-Claude Trichet, considering that “a fiscal stimulus would only increase the level of debt and therefore only increase these risks”.

What could explain the German exception?

Germany is the Euro Zone’s most powerful member, so it is one of the few countries that can actually rebel agains the ECB. But France never did, so there is a clearly a German exception linked to Germany’s economic culture and financial history. When the ECB announced the resumption of quantitative easing on 12 September 2019, the dissension became even stronger. Sabine Lautenschläger, one of the six members of the ECB’s Executive Board, resigned shortly after Christine Lagarde, recently appointed as successor to Mario Draghi, indicated that she wanted to continue her predecessor’s policy. In an interview with the German tabloid Bild in September 2019, the Bundesbank President openly criticised the resumption of quantitative easing; the article in question was also made famous by its illustration depicting Mario Draghi as Count Dracula ready to “suck the blood of German savers”. Interestingly, concern about the adverse effects of lower rates on savers is a constant in German concerns, as is the sovereign debt of fragile eurozone states. German households save on average more than 18% of their income in 2019, one of the highest rates in Europe. From 2015 to 2020, the real interest rate was -0.9% in the eurozone, which may explain German dissatisfaction with the negative rate effects partly caused by quantitative easing. German public opinion was therefore unfavourable to the resumption of the programme in September 2019. In addition to this, there were some high-profile decisions, such as the Munich Savings Bank, which at the same time decided to pass on these negative rates to some of its customers’ deposits. It is therefore these concerns combined with the trauma of the sovereign debt crisis that have pushed German opinion towards support for a more orthodox monetary policy, which the Karlsruhe ruling has materialised, and all the more so after the announcement of the large-scale €750bn Pandemic Emergency Purchase Programme on 18 March 2020 by the ECB.

Is Karlsruhe right about the ECB not respecting its mandates?

Through the PSPP, the ECB fulfills its second objective of supporting Member States’ economic policies by enabling convergence of inflation rates but also convergence of the long-term interest rates of the euro area Member States and a more sustainable public debt path than in the absence of the PSPP (see above): in short, the fulfillment of the convergence criteria. In particular, the PSPP has led to a significant reduction in Member States’ sovereign bond yield spreads (see sovereign bond yield spreads graph): the standard deviation of different sovereign bond interest rates has fallen from almost 5% in 2015 (and 3% in 2016) to 1% in 2018 and 2019. So the ECB’s action via the PSPP and the PEPP seems today to live up to expectations from an economic point of view. Nevertheless, Karlsruhe considers that there is a potential violation of European treaties because the ECB and the European court of justice – which approved the PSPP in December 2018 – did not provide evidence that proportionality had been duly considered. Karlsruhe cites easier financing conditions for member states or the banking system, and ‘penalizing’ savers, but the court seems to ignore that the PSPP’s effects are not any different from those of other ECB instruments. Either the PSPP does not violate the proportionality principle, or all ECB instruments do. What’s more, if for instance, in considering an interest rate rise to counter inflationary pressures, the ECB found this would produce losses for bondholder or increase unemployment, then the ECB’s would be considering objectives that are explicitly out of its mandate. What the German court reproaches the ECB is rather paradoxical and the economic basis of the legal decision is weak , but it definitely show that there is a need for a redefinition of the ECB’s mandate. It could become a non-hierarchical dual mandate, more similar to the US Federal Reserve model. The ECB would thus have a clear function of pursuing a price stability objective combined with a full employment objective. The mandate could be materialized not by the definition of a monetary target, the evolution of the monetary aggregate M3 and inflation, as it currently is, but by the establishment of an implicit nominal anchor on the so-called “neutral” rate theoretically allowing the euro area to reach its potential growth. Nevertheless, such evolution of the ECB’s mandate will have to wait until the end of the Covid-19 crisis, and nothing has prevented the Bundesbank from implementing the ECB’s policy since Karlsruhe released its decision one year ago. Adding to that, the possible return of inflation might jeopardize the sustainability of further quantitative easing programmes. To be continued..

About the author

Article written in July 2021 by Alexandre VERLET (ESSEC Business School, Grande Ecole Program – Master in Management, 2017-2021).

MSCI ESG Ratings

August 26, 2024July 28, 2021 by Anant JAIN

MSCI ESG Ratings

In this article, Anant JAIN (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) talks about MSCI ESG Ratings.

Introduction

MSCI ESG Rating is a measure of a company’s commitment to environmental, social, and governance (ESG) criteria and socially responsible investments (SRI). The MSCI ESG rating focuses on a company’s exposure to financially relevant ESG risks. It applies a rule-based methodology to distinguish companies into industry leaders and laggards based on their exposure to ESG risks and their relative aptitude to manage those risks compared to their peers. The ESG Ratings are ranked from leader (AAA, AA) to average (A, BBB, BB) to laggard (B, CCC).

Rating companies on the basis of ESG dimensions enables socially conscious investors to screen potential investments according to their personal investment goals and values.

Environmental, social, and governance (ESG) criteria

ESG criteria constitute a framework that helps socially conscious investors screen potential investments that incorporate their personal values/agendas. The ESG criteria screen companies based on sound environmental practices, healthy social responsibilities and moral governance initiatives into their corporate policies and daily operations.

Socially responsible investing (SRI)

SRI is a type of investment that is categorized to be socially responsible due to the nature of the operation the company conducts. SRI is an investment that considers two aspects:1) social/environmental changes; 2) financial performance. In other words, socially responsible investors promote practices that they believe will lead to environmental benefits, consumer protection, racial/gender diversity, etc. Some socially responsible investors also do the opposite of investing by avoiding companies that negatively impact society, such as alcohol, tobacco, deforestation, pollution, etc.

How Do MSCI ESG Ratings Work?

Over the past decade, ESG investing has become more popular. In 2020, the US SIF: The Forum for Sustainable and Responsible Investment published that more than $17 trillion of professionally managed assets were held in sustainable assets (about one-third of all assets under management).

Data providers have created various scoring criteria to rank and access potential ESG investments. Besides MSCI, other financial firms have curated their own proprietary ESG scoring models, including Standard & Poors (S&P), Blackrock, and Russell Investments. As a result, socially responsible investors can make more informed decisions when screening companies, ETFs, or mutual funds to include in their portfolios.

Division of ESG into pillars

MSCI’s ratings segregate ESG into its three pillars: environment, social, and governance. Figure 1 below shows the main components of each pillar and the key issues of each component.

MSCI evaluate thousands of data points across 35 ESG Key Issues that focus on the junction between a company’s core business and the industry-specific issues that may create significant risks and opportunities for the company. All companies are automatically evaluated for Corporate Governance and Corporate Behavior.

Figure 1. MSCI ESG classification.

Source: MSCI.

For example, in Figure 1, we take the example of a soft drink sub-industry (say Coca-Cola). In this scenario, the key issues for the environment and social pillar are highlighted. All the key issues mentioned for the governance pillar will be automatically considered for this industry (or any other industry).

Calculation of MSCI scores

When calculating the ESG scores for a company, MSCI rates each key issue from zero to ten. Zero indicates virtually no exposure, and ten represents very exposure to a particular ESG risk or opportunity.

MSCI also evaluates a company for its possible exposure to dubious business activities (e.g., gambling, weapons, tobacco, etc.). The data informing these scores are received from corporate filings, financial reports, and press releases. In addition to this, almost half of all data comes from hundreds of third-party media, academic institutions, non-government organizations (NGO), regulatory, and government sources.

Scores based on a company’s individual metrics are aggregated, weighted, and scaled to the relevant industry sector. Finally, an intuitive letter-based grade gets assigned to the company.

Assessment of MSCI scores

MSCI distinguishes its grades into three categories, mentioned below in descending order:

1. Leader (grade AAA & AA) – this grade indicates that a company is leading its relative industry. The company is managing the most significant ESG risks and opportunities.
2. Average (grade A, BBB & BB) – this grade indicates a company has an unexceptional or mixed track record of alleviating ESG risks and opportunities.
3. Laggard (grade B or CCC) – this grade indicates that a company is lagging in its industry because of the high exposure to ESG risks and failure to mitigate them.

Figure 2. MSCI ESG Score board.

Source: MSCI.

Example of MSCI ESG rating

The following case below is a real-life example of the MSCI ESG rating of Tesla, an electric vehicle producer. The company attained an overall grade of “A”, achieving the higher end of the “average” category.

When we look at the breakdown of this rating:

Tesla exceeds corporate governance and environmental risks, maintains a comparatively small carbon footprint, and utilizes green technologies.
The company scores an average grade for product quality and safety due to its past experiences of exploding batteries, undesirable crash test ratings, and accidents involving the car’s “autopilot” feature.
Tesla’s score is below-average for labor management practices. Tesla has been found to violate labor laws by blocking unionization. It has also repeatedly violated the National Labor Relations Act.

It is fascinating to note that the French auto parts maker, Valeo SA is the only company in the auto industry that earns a “leader” category grade from the MSCI ESG Ratings.

Useful resources

MSCI

MSCI Ratings Methodology

Tesla’s MSCI Rating

US SIF

About the author

The article was written in July 2021 by Anant JAIN (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Environmental, Social & Governance (ESG) Criteria

August 26, 2024July 28, 2021 by Anant JAIN

Environmental, Social & Governance (ESG) Criteria

In this article, Anant JAIN (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) talks about Environmental, Social & Governance (ESG) criteria and its individual components.

Introduction

Environmental, social, and governance (ESG) criteria constitute a framework that helps socially conscious investors to screen potential investments which incorporate their personal values/agendas. The ESG criteria screen companies based on sound environmental practices, healthy social responsibilities and moral governance initiatives into their corporate policies and daily operations.

Environmental criteria analyze how an organization performs as an agent of nature. Social criteria examine how it manages relations with employees, suppliers, customers, and the communities where it operates. Governance criteria deal with a companies’ audits, taxation, and firm management (composition of boards, shareholder rights, etc.).

There has been a rise in social investing, particularly by the younger section of the potential investors such as millennials and Gen-Z. As a result, financial products (exchange-traded funds for example) following the ESG criteria appeared. According to the report from US SIF Foundation, “there has been an increase in the assets chosen by ESG criteria from $8.1 trillion in 2016 to $11.6 trillion in 2018.”

Components of ESG

ESG criteria provide investors insight into a company’s adherence (or lack of adherence) to ethical practices. The three components of ESG criteria are defined as follows:

Environmental Criteria

These criteria measure a company’s impact on the environment and its ability to alleviate potential risks that could harm the environment in the future. It includes issues such as a company’s energy use, waste, pollution, natural resource conservation, and treatment of animals.

Social Criteria

These criteria assess a company’s relations with other businesses, its standing in the local community, its commitment to diversity and incorporation among its workforce and board of directors, its charitable contributions, and whether it practices employee policies that foster health and safety.

Governance Criteria

These criteria assess a company’s internal processes, such as transparent accounting systems, executive compensation and board composition, and its relations with employees and stakeholders.

Types of ESG Criteria

The table below provides the different types of issues mentioned by the CFA institute for each criterion of the ESG component. They are as follows:

Table 1. ESG components.

Source: MSCI.

Why is ESG Growth Accelerating?

Global sustainability challenges such as natural disasters, privacy and data security, and changes in demographics are introducing new risk factors for investors that may not have been seen previously. As companies face rising complexity at a global level, investors may re-evaluate traditional investment approaches. The demand for ESG criteria is increasing for the following reasons:

1. The world is transforming

Global issues, such as climate risk, increased regulatory pressures, social and demographic changes, and privacy concerns, represent new or increasing risks for investors. Companies face increasing complexities and more significant analysis if they do not adequately manage their ESG aspects.

2. A new era of investors

Millennial investors actively want to contribute back to society leading to rapid growth in ESG investment. In a 2018 survey, Bank of America Merrill Lynch said that “they could conservatively estimate $20 trillion of assets growth in U.S. ESG funds alone in the next two decades.”

3. Advancing technology

Advanced technology, including artificial intelligence (AI) and alternative data extraction techniques, reduces the dependency on voluntary disclosure from organizations. Machine learning and natural language processing are helping increase the timeliness and precision of data collection, interpretation and validation to deliver dynamic content and financially relevant ESG insights.

Working of ESG Criteria

To evaluate a company based on ESG criteria, financial investors look at a broad range of factors. They mainly follow any or all of the three criteria: Environment, Social, and Governance.

It is unlikely for a company to pass all the tests in every category. Therefore, investors need to prioritize their personal agendas that align with the ESG criteria. At a pragmatic level, investment firms that follow ESG criteria must also set priorities. For example, as of March 2020, Trillium Asset Management, with $2.8 billion under management, uses various ESG factors to help identify companies positioned for strong long-term performance. Trillium’s ESG criteria include avoiding companies with known exhibition to coal mining, nuclear power or weapons. It also avoids investing in companies with disputes related to workplace discrimination, corporate governance, and animal welfare, among other issues.

Conclusion

Earlier, only rating agencies specializing in sustainability paid attention to ESG criteria and similar concepts, with some dependency on information from the sector of the analyzed company. These agencies would collect information from the sustainability or CSR teams and provide their customers with their assessments.

In recent years, a rise in the interest of climate and social issues has led some of the most significant asset management companies to create specialized teams, developing internal methodologies to assign sustainable ratings. It is especially true with passive management funds (like Vanguard, State Street, BlackRock) and some active management funds.

As a result, in the year 2020, there was a striking increment in analysis and demand for information on environmental and social issues from investors.

Useful resources

The US SIF Foundation

The Bank of America Merrill Lynch Global Research Issues

The Trillium Asset Management

About the author

The article was written in July 2021 by Anant JAIN (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Impact Investing

August 26, 2024July 19, 2021 by Anant JAIN

Impact Investing

In this article, Anant JAIN (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) talks about Impact Investing.

Introduction

Impact investing is defined as the investment process made with the intention to generate positive social and environmental impact that can be measured, along with positive financial performance. The main point of impact investing is to utilize money and investment capital for positive social results.

Impact investing considers both the physical investments of firms (on the assets side of the balance sheet of firms) and their impact on the environment and society, and the financial investments of investors, debt or equity (on the liabilities/shareholders’ equity side of the balance sheet of firms) to finance the physical investments.

Impact investments can be made in both emerging and developed markets. Emerging markets are riskier compared to developed markets. An impact investor can target a desired market according to his or her strategic goals and desired returns from the investments.

Two key elements are present in impact investments:

Intentionality: an investor’s intention should include some element of both social impact and financial return.
Measurement: while there is more availability on metrics for financial performance, an impact investor should also aim to measure the social impacts of the investment.

All investments make an impact on society, either positive or negative. Impact investors intentionally make investments that lead to measurable positive social impacts.

Parts of Impact Investments

Impact investments come in different forms of project size and risk level. Just like any other type of investment, impact investments provide investors with a wide range of possibilities when it comes to investment expected returns. The only differentiating factor with impact investment is that it does not only provide investors with positive financial returns but also has a social or environmental impact via the physical investments of firms that it finances.

The market for impact investment may vary and investors may choose to invest their money into emerging or developed markets/economies. Impact investments cover a huge number of industries including healthcare, education, energy mainly renewable energy and agriculture.

There are mainly two parts of impact investment: the choice of criteria and the use of these criteria for investing (selection of firms in the portfolio of investors).

Environmental, Social, & Governance (ESG) Criteria

ESG criteria refers to healthy practices undertaken by an investment. It helps us to analyze potential investment that may have a prominent impact on the environment/society. ESG criteria are integrated to enhance the traditional financial analysis of an investment by identifying potential risks and opportunities beyond purely financial valuations. Even though there is a parallel social conscience, the main objective of ESG evaluation remains financial performance.

Socially Responsible Investing (SRI)

Socially responsible investing (SRI) is a step up to ESG since it actively eliminates or selects investments according to specific ethical agendas. SRI uses ESG criteria (which facilitate valuation) to apply negative or positive screens on the investments. SRI uses ESG criteria to select potential impact investments.

Benefits of Impact Investing

The following points mentioned below are some of the benefits of impact investing:

Return on investment (ROI)

An impact investor can invest a fixed amount of money in a series of socially beneficial projects or organization. The returns on the investment would vary from below-market to market rate. However, in impact investing, even a simple return of principal amount used for investing creates philanthropic leverage that is unattainable through tradition investing methods.

Alignment with goals of financial investors

Firms have traditionally been focused on achieving profit maximization. This is also known as shareholder theory where the main goal of the firm is to maximize the shareholders’ returns. With impact investing, firms can utilize more assets to be leveraged for social or environmental goals. This is also known as stakeholder theory where the goal of the firm is to maximize shareholders’ profit without harming the environment or society.

Negation of onvestor’s conflict

When investors utilize their money for impact investing, they are aware that the investments are in line with ethical values. As a result, investors do not find themselves in situations of conflict with the management regarding the utilization of money for social or environmental benefits.

Examples of impact investing

The Gates Foundation

One of the most commonly known impact investment funds is the Bill & Melinda Gates Foundation. It was launched with a total endowment of nearly $50 billion. The Foundation has a strategic investment fund with $2.5 billion under management, which is invested in ventures that align with the Foundation’s social goals.

Soros Economic Development Fund

Launched by billionaire philanthropist George Soros, the Soros Economic Development Fund is part of the Open Society Foundations. Out of the $18 billion contributed to the Open Society Foundations, the Soros Economic Development Fund uses $90 million to actively invest in impact ventures.

The Bottom Line

Socially and environmentally responsible practices tend to attract impact investors. It means that companies can gain financial benefits by committing to socially responsible practices. It is observed that impact investing is more attractive to younger generation, such as Millennials and Gen-Z, who want to give back to society.

Investors also tend to profit from impact investing. A 2020 survey by the Global Impact Investing Network (GIIN) found that more than 88% of impact investors reported that their investments were meeting or surpassing their financial expectations.

By engaging in impact investing, individuals or organizations essentially state their support to the vision and the mission of the company working towards a certain social or environmental change. As we see a shift in the investor’s perspective to be more socially conscience, and to engage in impact investing, it will most likely result in more companies to become socially conscious.

Useful resources

The Gates Foundation

The Open Society Foundation

The Global Impact Investing Network (GIIN)

About the author

The article was written in July 2021 by Anant JAIN (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Depreciation

July 8, 2021 by Bijal GANDHI

Depreciation

In this article, Bijal GANDHI (ESSEC Business School, Master in Management, 2019-2022) explains briefly the meaning of Depreciation.

This reading will help you understand the concept of depreciation, its main components and types with examples.

What is depreciation?

Depreciation is the accounting technique of dividing the total cost of a physical asset over its useful life period. The amount allocated is the value of the asset used up in that particular financial year. Depreciation is used by companies to spread the cost of an asset over time. This method eliminates the cost burden in one particular year. If not for depreciation, the company’s profits would seriously be affected in the year of purchase.

Depreciation for long-term assets may also be practiced by companies for tax benefits in a particular year. The reduction in taxable income can be achieved through tax deduction for the cost of an asset. Note that there are standard rules regarding the accounting practices of depreciation and firms cannot do what they want.

Types of depreciable assets

The guidelines for the types of assets to be depreciated is set by Internal revenue service (IRS) in the U.S. The following criteria are to be met with,
• The asset should be owned by the company.
• The asset should be used in the business to generate income.
• The life of the asset is determinable and is more than a year.

The most common examples of depreciable assets include plant and machinery, equipment, furniture, computers, software, land and vehicles.

Components of a depreciation schedule

A depreciation schedule is a detailed document that comprises of the information pertaining to depreciation for each asset owned by the company. It generally includes the following,
• Description and purchase price of asset
• Date of purchase and expected useful life.
• Depreciation method and salvage value.

Depreciation types with examples

Depreciation can be carried in several ways. The company can use any one of the four depreciation methods highlighted by Generally accepted accounting principles (GAAP) guidelines. GAAP is the set of rules and guidelines that are to be adhered to by accountants. The four methods for depreciation include the following,

Straight-line depreciation

Straight-line is one of the simplest methods of depreciation. In this method, the value of the asset is split evenly over the useful life of the asset. The value of the asset is calculated by subtracting the salvage value (scrap value) from the original cost incurred to purchase the asset. For example, if an equipment is bought for 10,000 euros, with a useful life of 10 years and a salvage value of 1,000 euros, the depreciation is computed as follows:

Depreciation per year= (asset cost – salvage value) / useful life
= (10,000-1,000) / 10
= 900 euros per year.
Therefore, 900 euros will be written off each year for 10 years.

Declining balance depreciation

The declining balance method of depreciation is an accelerated version of the straight-line method. Instead of an equal amount of depreciation for each year of useful life, unequal amounts depending upon the use are written off. In this method, more of the assets value is depreciated in the initial years than afterwards. This method is practiced by businesses who wish to recover maximum value upfront. For example, the equipment bought for 10,000 euros with a useful life of 10 years and salvage value of 1,000 will be depreciated by 20% each year,

For first year, the depreciable amount will be (9,000*20%) = 1,800 euros
For second year, the depreciable amount will be ((9,000-1,800) *20%) = 1,440 euros and so on.

Sum-of-the-years’ digits depreciation

This method serves a similar purpose as the declining balance method. It allows to depreciate more in the initial years as compared to the later years. It is a bit more even in terms of distribution per year as compared to the declining balance method.

The formula is as follows,
(Remaining life in years / SYD) x (asset cost – salvage value)
Where, SYD is the sum of the years of the asset’s useful life. SYD for an asset with a useful life of 4 years is equal to 11, which we get from (1 + 2 + 3 + 4).

Units of Production Depreciation

A simple way to depreciate would be to quantify an asset’s use every year. For example, an equipment can be depreciated in proportion to the units produced. This is exactly what the units of production method of depreciation works.

The formula is as follows,
Depreciation: (asset cost – salvage value) / units produced in useful life.
The number will vary each year, depending upon the use of the asset.

About the author

Article written in May 2021 by Bijal GANDHI (ESSEC Business School, Master in Management, 2019-2022).

Cost of goods sold

July 7, 2021 by Bijal GANDHI

Cost of goods sold

In this article, Bijal GANDHI (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) explains Cost of goods sold.

This read will help you understand in detail the meaning and components of cost of goods sold along with relevant examples.

Introduction

Cost of goods sold (COGS) refers the sum of all costs directly related to the production of the goods. It is fundamentally very similar to cost of sales and hence synonymously used. Some examples of items that make up COGS include,

Cost of raw materials
Direct labor costs
Heat and electricity charges
Overheads

Components and Formula

The COGS is calculated using the following formula,

COGS = (Beginning Inventory + Purchases) – Ending Inventory

• Beginning Inventory is the total value of the inventory left over or not sold from the previous year.

• Cost of goods is the sum of all costs directly related to the production of the goods or the purchase value of the same (in case of retailer or distributor)

• Ending inventory is the total value of the remaining inventory that was not sold till the end of the financial year. This number is carried forward to next year.

Example: LVMH

Let us once again take the example of LVMH. The French multinational company LVMH Moët Hennessy Louis Vuitton was founded in 1987. The company headquartered in Paris specializes in luxury goods and stands at a valuation of $329 billion. It is a consortium of 75 brands controlled under around 60 subsidiaries. Here, you can find a snapshot: 2018, 2019 and 2020.

Bijal Gandhi

In the income statement, COGS is placed just below revenue (Link to the blog) to easily compare the numbers and derive the gross margin. For example, in the snapshot of LVMH income statement below, the cost of sales for the year 2020 is 15,871 million euros for the revenue of 44,651 million euros resulting in a gross margin of 28,780 million euros.

Direct costs vs indirect costs

Direct cost refers to the costs that are directly associated with the production of goods and services. They are generally variable in nature as they fluctuate depending upon the production. Some examples of direct costs include, raw materials, direct labour, manufacturing supplies, fuel, power, wages, etc. Most importantly, direct costs are the ones that can be directly assigned to the product or service.

Indirect costs are those which cannot be assigned to one specific product or service. These costs are those that apply to more than one business activity. For example, rent, employee salary, utility and administrative expenses, overheads, etc. These costs may be fixed or variable in nature.

COGS vs operating costs

Operating costs are expenses that are not directly related to the production of goods or services. The operating expenses are a separate line item in the income statement, and they include indirect costs like salaries, marketing, rent, utilities, legal and admin costs, etc.

It is important to classify the costs correctly as either COGS or operating. This will help managers differentiate well between the two and effectively build a budget for the same.

About the author

Article written in May 2021 by Bijal GANDHI (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Why do governments issue debt?

July 5, 2021 by Rodolphe CHOLLAT-NAMY

Why do governments issue debt?

In this article, Rodolphe CHOLLAT-NAMY (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2023) gives the reasons why governments issue debt.

In normal times, governments use debt (bills, notes and bonds) to cover expenses and finance investments that will create new wealth, which will make it possible to repay the debt. This is what companies do when they use credit to buy new machinery for example. It is also what public authorities do when they build schools, hospitals or roads that will increase the productive capacity of the country and improve the living conditions of its inhabitants. However, the interest for a state to go into debt could not be limited to this. What are the other reasons to go into debt?

Public debt allows the mobilization of private savings

The level of savings directly influences investment in the economy and, therefore, the level of consumption. However, there are many factors that can push savings away from their optimal level, i.e. the level that maximizes consumption. It is therefore necessary for a government to find solutions to adjust this level of savings. Recourse to debt is one of the solutions.

Indeed, recourse to debt is a means of mobilizing, in return for remuneration, the savings of individuals, and in particular those of households with sufficiently high incomes to save. Today, there are not enough borrowers who issue good quality assets. The proof is that interest rates are very low on public debt. Savers are competing with each other and accepting lower and lower yields for this type of savings medium. Thus, in a world of asset shortages, it is the state that will provide sufficient savings vehicles. The state is then faced with a dilemma: to provide adequate and safe savings vehicles and to increase taxes in order to pay the interest on new public debt.

Public debt helps limit fluctuations in production levels

As we have seen with the Covid-19 crisis, an economy can be confronted with one or more shocks that temporarily push the level of production away from its potential level. Such fluctuations represent a cost. Indeed, a higher volatility in the level of output translates into a lower growth rate. In addition, a temporary fall in output from its potential level can lead to the failure of long-term viable businesses.

Investments financed by debt can be used to limit the magnitude of changes in the level of output. Changes in government spending or tax obligations significantly affect the level of output. An increase in expenditure usually results in an increase in output. Thus, public debt is an effective way of stabilizing output. This is what happened during the 1980s and 1990s. Governments around the world used massive debt to support their economic activity. During the Covid-19 crisis, the “whatever it takes” approach saved many companies. However, it has also kept unprofitable companies on life support, which should have disappeared, due to a lack of hindsight.

Public debt is a redistribution within the present generations

Public debt is often presented as a burden to be borne by future generations. However, this statement is far from obvious. Indeed, it is very difficult to measure the extent of transfers between generations. Future generations will also benefit from part of the money borrowed today that will have been invested and distributed to households that will be able to save it and then pass it on to their children. Thus, it is difficult to assess the real burden of the debt for future generations.

What is more certain, however, is that the public debt is primarily a transfer within the households at the present time. The State borrows from an agent X to redistribute to an agent Y or to make an investment that will benefit an agent Z. Thus, from this point of view, the use of debt is a good tool for redistribution among households.

Useful resources

Rating agencies

S&P

Moody’s

Fitch Rating

About the author

Article written in July 2021 by Rodolphe CHOLLAT-NAMY (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2023).

Earnings per share

June 30, 2021 by Bijal GANDHI

Earnings per share

In this article, Bijal GANDHI (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) explains the meaning and calculation of Earnings per Share.

This reading will help you understand the earnings per share in detail with relevant examples.

Introduction

The earnings per share (EPS) indicates the total amount of money that the company earns for each share of its total stock. A high EPS is a good indication as investors will be willing to pay more for each share owing to higher profits and vice versa. There are several methods to derive EPS.

Calculation of EPS

One direct way to calculate EPS is by simply dividing the net income by the number of common stocks that are outstanding for that period of the earnings. To understand the calculation for net income, refer to our blog on Income statement.

A refined way to calculate the EPS would be to adjust both the numerator and denominator. For the numerator, the net income should be adjusted for any dividends paid for preferred shares. For the denominator, a weighted average number of common shares should be taken since the number of outstanding shares tend to vary over time.

EPS example

Here, we again take the example of LVMH. The French multinational company LVMH Moët Hennessy Louis Vuitton was founded in 1987. The company headquartered in Paris specializes in luxury goods and stands at a valuation of $329 billion (market capitalization in June 2021). It is a consortium of 75 brands controlled under around 60 subsidies. Here, you can find a snapshot of LVMH Income statement for three years: 2018, 2019 and 2020. The last line highlights the basic and diluted EPS of the group for each of the three years.

Net income for the group= 4702 millions
Average number of shares= 503,679,272
Basic EPS= 9.33 euros per year.

Basic EPS vs. Diluted EPS

Basic EPS eliminates the dilutive effect of warrants, stock options, convertible debentures, etc. These instruments will increase the total number of outstanding shares if exercised by the holders. For example, warrants when exercised will result in dilution of equity.

Diluted EPS considers all the potential sources of equity dilution and therefore it gives a clear picture of the actual earnings per share. In the above LVMH example, the diluted earnings are derived after adding the dilutive effect of stock option like described below,

Net income for the group= 4,702 millions
Average number of shares outstanding: 503,679,272
Dilutive effect of stock option and bonus share plans: 530,861
Average number of shares after dilution: 504,210,133
Diluted earnings per share: 9.32

How is EPS used?

EPS is one of the best indicators of a company’s profitability and performance. It is a helpful indicator to choose stocks as it is one of the sole metrics that isolates net income to find the earnings for shareholders. A growing or a consistent EPS means that the company creates value for the shareholders while a negative EPS might indicate losses, financial trouble or eroding investor value.

It also helps calculate the price to earnings (PE) ratio where the market price per share is divided by the EPS. This ratio helps understand how much the market is willing to pay for each euro of earnings.

About the author

Article written in May 2021 by Bijal GANDHI (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Income Statement

June 30, 2021 by Bijal GANDHI

Income Statement

In this article, Bijal GANDHI (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) explains briefly the structure of an Income Statement.

This reading will help you understand the structure and the main components of the income statement.

Introduction

Income statement is a financial statement that reports the financial performance of an entity over a specified accounting period. The financial performance is measured by summarizing all income and expenses over a given period. Also known as ‘Profit and Loss’ Statement, the Income statement helps the company have a look at the profits for the year and helps it take financial decisions about costs and revenues. The Income statement is also the basis for the tax institution to compute the income tax that the company has to pay every year. The Income statement also allows shareholders to know the dividends that they can receive from the earnings.

Structure of an income statement

Bijal Gandhi

Main components of an income statement

The income statement may slightly vary sometimes depending upon the type of company and its expenses and income, but the general structure and lines may remain the same.

Revenue: Also known as top line, revenue or sales revenue refers to the value of the total quantity sold multiplied by the average price of goods or services sold.
Cost of goods sold: The cost of goods sold is the sum of all the direct costs associated with a product or service. For example, labor, materials, equipment, machinery, etc.
Gross Profit: Gross profit is derived after subtracting the cost of goods from sales/revenue.
Indirect Expenses: Indirect expenses include general, selling, and administrative expenses like marketing, advertisement, salary of employees, office, and stationery, rent, etc.
Operating Income: Gross profit less indirect expenses are equal to operating income. It is the firm’s profit before non-operating expenses and income, taxes and interest expenses are subtracted from revenues.
Interest Expenses/Income: Interest expense/income is deducted/added from operating income to derive earnings before tax.
Tax: The taxes are deducted from pre-tax income to derive the net income. The taxes can be both current and future. The net income then flows to retained earnings on the balance sheet after deducting dividends.

Example: LVMH

The French multinational company LVMH Moët Hennessy Louis Vuitton was founded in 1987. The company headquartered in Paris specializes in luxury goods and stands at a valuation of $329 billion (market capitalization in June 2021). It is a consortium of 75 brands controlled under around 60. Here, you can find a snapshot of LVMH Income statement for three years: 2018, 2019 and 2020.

Bijal Gandhi

Most important components of an income statement include:

Total Revenue= Sum of Operating and Non-Operating Revenues for the accounting period. ($ 44,651)
COGS: Cost of goods Sold is the total cost of sales of the products actually sold. ($15,871)
Gross Margin = Net Sales – Total COGS ($28780)
Total Expenses = Sum of Operating and Non-Operating Expenses (Marketing and Selling Expenses + General and administrative expenses + Loss from joint Venture = ($ 16,792 + $ 3641 + $ 42= $ 20475)
EBT: Earning before taxes = Net Financial Income (Income – Expenses before Taxes). ( – $ 608)
Net Income = (Total Revenues and Gains) – (Total Expenses and Loses) = $ 4702

Income statement and Statement of cash flow

It is important to know that Income Statement does not convey the cash inflow and outflow for the year; The Cash Flow Statement is used for this. For example, credit sale is not recorded in the cash flow statement while cash sale is. Credit sale refers to sale for which the customer will make payment in the future while for cash sales the customer makes the payment at the time of purchase.

Conclusion

Income statement is the source to obtain valuable insights about factors responsible for company’s profitability.

About the author

Article written in May 2021 by Bijal GANDHI (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Stock split

June 21, 2021 by Raphaël ROERO DE CORTANZE

Stock split

In this article, Raphaël ROERO DE CORTANZE (ESSEC Business School, Grande Ecole Program – Master in Management, 2018-2022) introduces the specificities of stock splits.

Stock split

What a stock split?

A stock split is a decision by a company’s board of directors to increase the total number of shares by issuing more shares to current shareholders. The effect is to divide the existing shares into multiple new shares.

For instance, a company with 1 million shares launches a 2-for-1 stock split. Post-stock split, the Number of Outstanding Shares (NOSH) will be 2 million, thus, the company has to issue 1 million new shares. Each existing shareholder will receive an additional issued share for each share he/she already has.

During a stock split, the market capitalization of the company remains the same. In effect, the company has simply issued new shares to existing shareholders, it has not sold those shares (it would have been the case during a capital increase for instance). As the market cap remained the same and the Number of Outstanding Shares doubled during this stock split, the adjusting variable is the stock price. In this case it is divided by 2.

Before the operation, the per share price amounted to:

After the stock split, the per share price amounts to:

In other words, a stock split does not add any real value, because the issued shares are not bought.

Why do companies split their stock?

Stock splits are far from being uncommon. Apple has undergone two stock splits in the last 10 years: the first in 2014 (7-for-1 stock split) and the second in 2020 (4-for-1 stock split, where the share price decreases from $460 to $115). In 2020, Tesla has also decided to go with a 5-for-1 stock split, which reduced the share price from $1,875 to $375. But why do companies resort to stock-splits?

Two main reasons can explain why companies go through splitting their stock:

Decrease the stock price: when to stock price is too high, it can be quite expensive to acquire “lots” of shares (lot in the sense of bundle). Splitting the stock reduces the prices, thus allowing more investors to buy the company’s stock.
Increase the stock liquidity on the market: a higher number of shares outstanding can result into a higher liquidity for the stock, which makes the stock more attractive for buyers and sellers. Indeed, it allows more flexibility, and provide buying and selling movements from having too much of an impact on the company’s stock price.

Many companies exceed later the price level at which they had previously split their stock, causing them to go through another stock split. For instance, Walmart has split its stock 9 times between 1975 and 1999.

Stock exchanges publish regularly a Stock Splits Calendar, which notifies the market when to expect a split and at what ratio.

Stock split signaling

As we have seen in our example above, a stock-split is supposed to not influence the stock price (besides dividing its price by the stock-split ratio). In reality, a stock-split usually sends a positive signal to the market, as stock-splitting announces higher liquidity and decreased prices. Stock splits also allow companies such as Apple or Tesla to prevent their stock from breaking through the ceiling and make the stock unaffordable.

Reverse stock-split

What is a reverse stock-split

As for a traditional stock split, a reverse stock split is a decision made by a company’s board of directors. Nonetheless, like its name indicates, a reverse stock-split is the opposite of a traditional stock split. The goal is to decrease the total number of shares.

Before the reverse stock split After the reverse stock split

In this example, the reverse stock split ratio is 1-for-2 (i.e., 1 new share for 2 existing shares). From the 1 million shares of the company, 0.5 million are destroyed. The Number of Outstanding Shares post-reverse stock-split is thus 0.5 million. As for a traditional stock split, no real value is created or destroyed, the market capitalization remains the same. The adjusting variable is the stock price. In this case, the stock price is multiplied by 2.

Why do companies go through reverse stock-split?

The reverse stock-split procedure is usually used by companies which have a low share price and would like to increase it. Indeed, companies can be delisted from stock exchanges if their stock falls below a certain price per share.

In addition, a reverse stock split can be used to eliminate shareholders that hold fewer than a certain number of shares. For instance, in 2011, Citigroup launched a reverse 1-for-10 split in order to reduce its share volatility and discourage speculator trading.

Useful resources

CNN Why it’s time for Amazon and other quadruple-digit stocks to split

Nasdaq Stock Splits Calendar

The Economic Times What is ‘Stock Split’

About the author

Article written in June 2021 by Raphaël ROERO DE CORTANZE (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

How does the stock price of a firm change according to the shift of its capital structure?

June 21, 2021 by Raphaël ROERO DE CORTANZE

How does the stock price of a firm change according to the shift of its capital structure?

In this article, Raphaël ROERO DE CORTANZE (ESSEC Business School, Master in Management, 2018-2022) analyses the effects of the shifts of capital structure on the stock price.

Capital structure and asymmetric information

The capital structure of a firm can be defined as the mix of the company’s debt and equity. Debt can be long-term or short-term. Equity can be common or preferred equity. The capital structure discloses the different sources of funding a firm uses in order to finance its operations and growth. It is usually measured through the gearing ratio: Debt / (Debt + Equity).

The overall capital structure of a firm varies across the firm’s life and development through equity or debt issuances. Equity and debt issuance are seen on the balance sheet as an increase on the liabilities side.

Nonetheless, the balance sheet does not reveal the future decisions regarding the capital structure of the firm. Indeed, firms’ managers are suspected to hold information that outside investors and/or the market lack. These information discrepancies between the firm (managers) and the market (investors) are known as “asymmetric information”. Almost all economic transactions involve information asymmetries. These information failures influence the managers’ financial decision, and influence the market perception of the firm, through changes in stock price.

Announcement effects

The debt-equity choice conveys information for two reasons:

Managers will avoid increasing the firm’s leverage if the firm could have financial difficulties in the future.
Managers are reluctant to issue equity when the stock is thought to be undervalued.

Stock price reactions to capital structure changes are usually the following:

Common stock issuance: negative
Convertible debt issuance: negative
Straight debt: negative but insignificant
Bank debt (renewal): positive

Debt issuance

In 1958, Modigliani and Miller stated that in a world without taxes, bankruptcy costs, agency costs and asymmetric information, and in an efficient market, the value of a firm is unaffected by how it is financed. In other word, the choice of capital structure is irrelevant as it does not impact the value of the firm. As a result, debt issuance does not have any impact on the value of the firm according to their theory.

In 1963, Modigliani and Miller adapted their theory by integrating the notion of corporate taxation. In this framework, they show that the value of the levered firm is equal to the value of the unlevered firm plus the present value of the tax savings associated with the tax deductibility of the interests on the debt. In effect, debt conveys a taxable benefit called the “tax shield”.

In our non-Modigliani Miller perfect world, an increase in a firm’s debt ratio is often seen as a positive signal by the market as it shows that the firm managers believe in the firm capacity to generate taxable earnings in the future.

In order to come to this conclusion, Grinblatt and Titman (2002) have explained that firms choose their capital structure by comparing the tax benefit of debt financing and the cost of financial distress.

Let us consider two firms, A (unlevered) and B (levered). Firm A has no debt, thus no interest expense, and Firm B has a debt of 100 with a 10% interest rate. A and B have the same EBIT. Through its debt, B has a yearly tax shield of 3 (the tax rate is 30%), meaning that B pays less tax than A which has no debt and then no tax shield.

Nonetheless, the effects of issuing straight debt (a debt which cannot be converted into something else) is negative but insignificant. But renewing bank debt translates into an increase in stock prices. Overall, the announcement of a debt issuance has on average little impact on the stock price, as it shows to the market that the firms:

Needs funding
Expects taxable income in the future
Will pay less tax as it will benefit from a higher tax shield
Is financially stable enough to convince banks or investors to lend it money.

Security sales

The table below (from Grinblatt and Titman (2002) summarizes a number of event studies that examine stock price reaction to the announcements of new security issues. It shows that raising capital is considered as a negative signal. For instance, when industrial firms issue common stock, their stock prices decline, on average about 13.1%.

This is explained by the “adverse selection theory”, which states that firms are reluctant to issue common equity when the stock is undervalued. Thus, the market often assumes than common equity issuance and overvaluation go hand in hand. The issuing of common equity will thus have a negative effect on stock prices, as the market will think the stock is overvalued. As convertible bonds have a strong equity-like component, Grinblatt and Titman (2002) argue that the “adverse selection theory” can also explain why the market usually reacts negatively to the issuance of convertible bonds.

Pecking order theory

The market reacts favorably to leverage increase and unfavorably to leverage decrease. As a result, firms will use either internal financing (inside equity) or debt to finance their project over outside equity (equity issuance). This is called the “pecking order theory” of capital structure.

The theory of the financial pecking order states that, of the three possible forms of financing for a firm (internal cash flow, debt, equity), a firm will prefer to finance itself from internal cash flow, then debt, and finally, in the last case, by selling equity. This has a practical consequence on the way the company operates: once it has emptied its internal cash flow, it will issue debt. If it can no longer generate debt, it will issue equity.

Myers and Majluf (1984) highlight the consequences of information asymmetry between managers and investors. If the company finances itself with shares, it is because it believes that shares are overvalued and can therefore provide easy and abundant financing. If the company finances itself with debt, it is because it believes that shares are undervalued.

Nonetheless, firms can prefer to resort to equity rather than debt when they are experiencing financial difficulties. Indeed, in case of financial distress, the risk of having to suffer financial distress costs can be greater than the cost of issuing equity. Furthermore, firms can also decide to issue preferred equity in difficult times rather than common equity. In effect, preferred shareholders cannot force a firm into bankruptcy when it fails to meet its dividend obligations (while common shareholders can).

Useful resources

Grinblatt M. and S. Titman (2002) Financial Markets & Corporate Strategy, Second Edition – Chapter 19: The information conveyed by financial decisions.

Myers S.C. and N.S. Majluf (1984) Corporate financing and investment decisions when firms have information that investors do not have, Journal of Financial Economics, 13(2) 187-221.

About the author

Article written in June 2021 by Raphaël ROERO DE CORTANZE (ESSEC Business School, Master in Management, 2019-2022).

Option Greeks – Vega

Introduction

Calculating the vega for call and put options

Example for calculating vega

Excel pricer to calculate the vega of an option

Related posts ont he SimTrade blog

Option pricing and Greeks

Useful resources

About the author

Cash flow statement

Cash Flow statement

Structure of Cash Flow statement

Cash from operating activities

Cash from investing activities

Cash from financing activities

LVMH Example: Cash Flow Statement

Importance and use of cash flow statement

Related posts on the SimTrade blog

About the author

Operating vs Non-Operating Revenue

What is operating revenue?

What is non-operating revenue?

How are revenue recorded in the income statement?

LVMH example

Related posts on the SimTrade blog

About the author

Option Greeks – Gamma

Introduction

Calculating gamma for call and put options

Excel pricer to calculate the gamma of an option

Delta-gamma hedging

Limitations of gamma hedging

Related posts in the SimTrade blog

Useful resources

About the author

Option Greeks – Delta

Introduction

Delta formula

Call option

Put option

Delta as a function of the price of the underlying asset

Call option

Put option

Excel pricer to calculate the delta of an option

Delta Hedging

Limitations of delta hedging

Transaction cost

Illiquid Markets

Example for calculating delta

Related posts on the SimTrade blog

Option pricing and Greeks

Useful resources

Research articles

Books

About the author

The return of inflation

What is inflation and what is causing it to return?

How would the return of the inflation impact us?

Should we worry about the future because of inflation?

Related posts on the SimTrade blog

About the author

A historical perspective on options

What’s an option?

The characteristic of an option contract

Are you “in the money”?

Related posts on the SimTrade blog

Useful resources

About the author

Cryptocurrencies

What is a cryptocurrency?

Where do cryptos come from?

How do cryptos work?

Why are cryptocurrencies so successful?

Summary

Related posts on the SimTrade blog

About the author

Inflation and the economic crisis of the 1970s and 1980s

Low inflationary growth was at the heart of the virtuous circle of the Trente Glorieuses

The 1960s: the “inflationary spiral” begins to get out of control

The 1973 and 1979 oil shocks