Credit risk

Extreme Events in Finance

About the author

The article was written in November 2022 by Aamey MEHTA (ESSEC Business School, Master in Finance, Singapore campus, 2022-2023).

My experience as a credit analyst at Amundi Asset Management

August 14, 2022 by Jayati WALIA

My experience as a credit analyst at Amundi Asset Management

In this article, Jayati WALIA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) shares her apprenticeship experience as an assistant credit analyst in Amundi which is a leading European asset management firm.

About Amundi

Amundi is a French asset management firm with currently over €2 trillion asset under management (AUM). It ranks among the top 15 asset managers in the world (see Table 1 below). Amundi is a public company quoted on Euronext with the highest market capitalization in Europe among asset management firms (€10.92 billion as of May 20, 2022). Amundi was founded in 2010 following a merger between Crédit Agricole Asset management and Société Générale Asset management.

Table 1. Rank of asset management firms by asset under management (AUM).
Top asset management firms rankings Source: www.advratings.com

Amundi has over 100 million clients (retail, institutional and corporate) and it offers a range of savings and investment solutions, services, advice, and technology in active and passive management, in both traditional and real assets.

Amundi logo Source: Amundi

My apprenticeship

My team at Amundi, Fixed Income Solutions, works in coordination with all the teams of the firm’s global bond management platform. The team’s work revolves majorly around product development on Amundi’s Fixed Income offerings including technological work, generating new investment ideas, and bringing them to clients both institutional and distributors. My position in the team is Assistant Credit Analyst.

Missions

My work primarily involves setting up tools and procedures linked to various investment solutions and portfolios handled by team. The tools are developed through algorithms in programming languages (mainly Python) and their functionalities range from analysis of market signals for investment, pricing of securities, risk monitoring and reporting. I worked on fixed-income portfolio construction and optimization algorithms implementing modern portfolio theory.

My daily responsibilities include report production related to daily fund activity such as monitoring fund balance and calculation of regulatory financial ratios to check for alignment against specific risk constraints. Additionally, I also participate in market research for new investment ideas through analysis of various fixed-income securities and derivatives.

Required skills and knowledge

The work and missions involved in my role require technical knowledge especially programming skills in Python, quantitative modelling and an understanding of financial markets, products and concepts of valuation, various types of risks and financial data analysis. Other behavioral skills such as project management, autonomy and interpersonal communication are also essential.

Three key financial concepts

The following are three key concepts that are used regularly in my work at Amundi:

Credit ratings

Credit ratings are extensively used in fixed income. They reflect the creditworthiness of a borrower entity such as a company or a government, which has issued financial debt instruments like loans and bonds.

Credit risk assessment for companies and governments is generally performed by rating agencies (such as S&P, Moody’s and Fitch) which analyze the internal and external, qualitative and quantitative attributes that drive the economic future of the entity.
Bonds can be grouped into the following categories based on their credit rating:

Investment grade bonds: These bonds are rated Baa3 (by Moody’s) or BBB- (by S&P and Fitch) or higher and have a low rate of default.
Speculative grade bonds: These bonds are rated Ba1 (by Moody’s) or BB+ (by S&P and Fitch) or lower and have a higher rate of default. They are thus riskier than investment grade bonds and issued at a higher yield. Speculative grade bonds are also referred to “high yield” and “junk bonds”.

Often, some bonds are designated “NR” (“not rated”) or “WR” (“withdrawn rating”) if no rating is available for them due to various reasons, such as lack of credible information.

Credit spreads

Credit spread essentially refers to the difference between the yields of a debt instrument (such as corporate bonds) and a benchmark (government or sovereign bond) with similar maturities but contrasting credit ratings. It is measured in basis points and is indictive of the premium of a risky investment over a risk-free one.

Credit spreads can tighten or widen over time depending on economic and market conditions. For instance, times of financial stress cause an increase in credit risk which leads to spread widening. Similarly, when markets rally, and credit risk is low, spreads tighten. Thus, credit spreads are an indicator of current macro-economic and market conditions.

Credit spreads are used by market participants for investment analysis and bond valuations.

Duration and convexity

Bond prices and interest rates share an inverse relationship, i.e., if interest rates go up, bond prices move down and similarly if interest rates go down, bond prices move up. Duration measures this price sensitivity of bonds with respect to interest rates and helps analyze interest-rate risk for bonds. Bonds with higher duration are more sensitive to interest rate changes and hence more volatile. Duration for a zero-coupon bond is equal to its time to maturity.

While duration is linear measure of bond price-interest rates relationship, in real life, the curve of bond prices against interest rates is convex i.e., the duration of the bonds also changes with change in interest-rates. Convexity measures this duration sensitivity of bonds with respect to interest rates.

Useful resources

Amundi

About the author

The article was written in August 2022 by Jayati WALIA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Logistic Regression

December 9, 2021 by Jayati WALIA

In this article, Jayati WALIA (ESSEC Business School, Grande Ecole – Master in Management, 2019-2022) presents an overview of logistic regression and its application in finance.

Introduction

Logistic regression is a predictive analysis regression method that is used in classification to determine whether an output that is categorical, belongs to a particular class or category. Mathematically, this means that the dependent variable in regression is dichotomous or binary i.e., it can take the values 0 or 1. Logistic regression is used to describe data and explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables.

For instance, consider a weather forecasting situation. If we wish to predict the likelihood of whether it will rain or not on a particular day, linear regression is not going to be of use in this scenario because our outcome or value of dependent variable is unbounded. On the other hand, a binary logistic regression model will provide with a classified outcome (1: it will rain; 0: it will not rain).

Logistic regression analysis is valuable for predicting the likelihood of an event. It helps determine the probabilities between any two classes. In essence, logistic regression helps solve probability and classification problems.

Logistic Function

Logistic regression model uses the sigmoid function to map the output of a linear equation between 0 and 1. The sigmoid function is an S-shaped curve and can be expressed as:

sigmoid function

Figure 1. Sigmoid function curve.

img_sigmoid_function_curve

Source: computation by the author.

For logistic regression, we initially model the relationship between the dependent and independent variables as a linear equation as follows:

linear equation for logistic regression

wherein Y is the dependent variable (i.e., the variable we want to predict) and X is the explanatory variables (i.e., the variables we use to predict the dependent variable). β₀, β₁, β₂… β_N are regression coefficients that are generally estimated using the maximum likelihood estimation method.

This equation is mapped to the sigmoid function to squeeze the value of the outcome (Y) from a large scale to within the range 0 – 1. We get our logistic regression equation as:

logistic regression equation

The dependent variable Y is assumed to follow a Bernoulli distribution with parameter p defined as p = Probability(Y = 1). Thus, the main use-case of a logistic model is that with given observations of the variables (X₁,X₂ …, X_N) we estimate the probability p that the outcome Y is equal to 1.

Note that the logistic regression model is sensitive to outliers and the number of explanatory variables should be less than the total observations to avoid overfitting. The logistic regression model is generally combined with artificial neural networks to make it more suitable to assess complex relationships. In practice, it is performed using programming languages like Python and R which possess powerful libraries (packages) to evaluate the models.

Applications

Logistic regression is a relatively simple and efficient method for binary classification problems. It is a classification model that achieves very good performance with linearly separable classes or categories and is extensively employed in various industries such as medicine, gaming, hospitality, retail, etc.

In finance, the logistic regression model is commonly used to model the credit risk of individuals and small and medium enterprises. For companies, this model is used to predict their bankruptcy probability. Such a method is called credit scoring. To construct a logistic regression model for credit scoring of corporate firms, the independent variables are usually financial ratios computed with the information contained in financial statements: EBIT margin, return on equity (RoE), debt to equity (D/E), liquidity ratio, EBIT/Total Assets, etc. Further predictive statistical metrics like p-value and correlation test for multicollinearity can be used to narrow down to the variables with most contribution to the model.

Useful resources

Wikipedia Maximum Likelihood Estimation

Towards Data Science Logistic Regression

About the author

The article was written in November 2021 by Jayati WALIA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Credit risk

November 18, 2021 by Jayati WALIA

Credit risk

In this article, Jayati WALIA ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) presents credit risk.

Introduction

Credit risk is the risk of not receiving promised repayments due to the counterparty (a corporate or individual borrower) failing to meet its obligations and is typically used in context of bonds and traditional loans. The counterparty risk, on the other hand, refers to the probability of potential default on a due obligation in derivatives transactions and also affects the credit rating of the issuer or the client. The default risk can arise from non-payments on any loans offered to the institution’s clients or partners.

With bank failures in Germany and the United States in 1974 led to the setup of the Basel Committee by central bank governors of the G10 countries with the aim of improving the quality of banking supervision globally and thus devising a credible framework for measuring and mitigating credit risks. Banks and financial institutions especially need to manage the credit risk that is inherent in their portfolios as well as the risk in individual transactions. Banks also need to consider the relationships between credit risk and other risks. The effective management of credit risk is a critical component of a comprehensive approach to risk management and essential to the long-term success of any banking organisation.

Credit risk for banks

For most banks, debts (on the assets side of their balance sheet – banking book) are the largest and most obvious source of credit risk. However, sources of credit risk (counterparty risk) also exist through other the activities of a trading (on the assets side of their balance sheet – trading book), and both on and off the balance sheet. Banks increasingly face credit risk (counterparty risk) in various financial instruments other than loans, including interbank transactions, trade financing, bonds, foreign exchange transactions, forward and futures contracts, swaps, options, and in the extension of commitments and guarantees, and the settlement of transactions.

Risk management

Exposure to credit risk makes it essential for banks to have a keen awareness of the need to identify, measure, monitor and control credit risk as well as determine that they hold adequate capital against these risks and are adequately compensated in case of a credit event.

Financial regulation

The Basel Committee on Banking Supervision has developed influential policy recommendations concerning international banking and financial regulations in order to exercise judicious corporate governance and risk management (especially credit and operational risks), known as the Basel Accords. The key function of Basel accords is to set banks’ capital requirements and ensure they hold enough cash reserves to meet their respective financial obligations and henceforth survive in any financial and/or economic distress. Common risk parameters such as exposure at default, probability of default, etc. are calculated in accordance with specifications listed under the Basel accords and quantify the exposure of banks to credit risk enabling efficient risk management.

Credit risk modelling: overview

Credit risk modelling is done by banks and financial institutions in order to calculate the chances of default and the net financial losses that may be incurred in case of occurrence of default event. The three main components used in credit risk modelling as per advanced IRB (Interest ratings based) approach under Basel norms aimed at describing the exposure of the bank to its credit risk are described below. These risk measures are converted into risk weights and regulatory capital requirements by means of risk weight formulas specified by the Basel Committee.

Probability of default (PD)

The probability of default (PD) is the probability that a borrower may default on its debt over a period of one year. There are two main approaches to estimate PD. The first is the ‘Judgemental Method’ that takes into account the 5Cs of credit (character, capacity, capital, collateral and conditions). The other is the ‘Statistical Method’ that is based on statistical models which are automated and usually a more accurate and unbiased method of determining the PD.

Exposure at Default (EAD)

The exposure at default (EAD) is the predicted expected amount outstanding in case the borrower defaults and essentially is dependent upon the amount to which the bank was exposed to the borrower at the time of default. It changes periodically as the borrower repays his payments to the lender.

Loss given default (LGD)

The loss given default LGD refers to the amount expected to lose by the lender as a proportion of the EAD. Thus, LGD is generally expressed as a percentage.

LGD = (EAD – PV(recovery) – PV(cost))/EAD

With:
PV(recovery) = Present value of recovery discounted till time of default
PV(cost) = Present value of cost of lender discounted till time of default

For instance, a borrower takes a $50,000 auto loan from a bank for purchasing a vehicle. At the time of default, loan has an outstanding balance of $40,000. EAD would thus be $40,000.

Now, the bank takes over the vehicle and sells it for $35,000 for recovery of loan. LGD will be calculated as ($40,000 – $35,000)/$40,000 which is equal to 12.5%. Note that we have assumed the present value of cost here as 0.

Expected Loss

The expected loss is case of default is thus calculated to be PD*EAD*LGD and banks use this methodology in order to better estimate their credit risk and be prepared for any losses to be incurred thus implementing risk management.

Credit Rating

Credit rating describe the creditworthiness of a borrower entity such as a company or a government, which has issued financial debt instruments like loans and bonds. It also applies to individuals who borrow money from their banks to finance the purchase of a scar or residence. It is a means to quantify the credit risk associated with the entity and essentially signifies the likelihood of default.

Credit risk assessment for companies and governments is generally performed by a credit rating agencies which analyses the internal and external, qualitative and quantitative attributes that drive the economic future of the entity. Some examples of such attributes include audited financial statements, annual reports, analyst reports, published news articles, overall industry analysis and future trends, etc.

A credit agency is deemed to provide an independent and impartial opinion of the credit risk and consequent ratings they issue for any entity. Rating agencies S&P Global, Moody’s and Fitch Ratings currently dominate 85% of the global ratings market (as of 2021).

About the author

The article was written in November 2021 by Jayati WALIA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Quantitative risk management

September 6, 2021 by Jayati WALIA

Quantitative risk management

In this article, Jayati WALIA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) presents Quantitative risk management.

Introduction

Risk refers to the degree of uncertainty in the future value of an investment or the potential losses that may occur. Risk management forms an integral part of any financial institution to safeguard the investments against different risks. The key question that forms the backbone for any risk management strategy is the degree of variability in the profit and loss statement for any investment.

The process of the risk management has three major phases. The first phase is risk identification which mainly focuses on identifying the risk factors to which the institution is exposed. This is followed by risk measurement that can be based on different types of metrics, from monitoring of open positions to using statistical models and Value-at-Risk. Finally, in the third phase risk management is performed by setting risk limits based on the determined risk appetite, back testing (testing the quality of the models on the historical data) and stress testing (assessing the impact of severe but still plausible adverse scenarios).

Different types of risks

There are several types of risks inherent in any investment. They can be categorized in the following ways:

Market risk

An institution can invest in a broad list of financial products including stocks, bonds, currencies, commodities, derivatives, and interest rate swaps. Market risk essentially refers to the risk arising from the fluctuation in the market prices of these assets that an institution trades or invests in. The changes in prices of these underlying assets due to market volatility can cause financial losses and hence, to analyze and hedge against this risk, institutions must constantly monitor the performance of the assets. After measuring the risk, they must also implement necessary measures to mitigate these risks to protect the institution’s capital. Several types of market risks include interest rate risk, equity risk, currency risk, credit spread risk etc.

Credit risk

The risk of not receiving promised repayments due to the counterparty failing to meet its obligations is essentially credit risk. The counterparty risk can arise from changes in the credit rating of the issuer or the client or a default on a due obligation. The default risk can arise from non-payments on any loans offered to the institution’s clients or partners. After the financial crisis of 2008-09, the importance of measuring and mitigating credit risks has increased many folds since the crisis was mainly caused by defaults on payments on sub-prime mortgages.

Operational risk

The risk of financial losses resulting from failed or faulty internal processes, people (human error or fraud) or system, or from external events like fraud, natural calamities, terrorism etc. refers to operational risk. Operational risks are generally difficult to measure and may cause potentially high impacts that cannot be anticipated.

Liquidity risk

The liquidity risk comprises to 2 types namely, market liquidity risk and funding liquidity risk. In market liquidity risk can arise from lack of marketability of an underlying asset i.e., the assets are comparatively illiquid or difficult to sell given a low market demand. Funding liquidity risk on the other hand refers to the ease with which institutions can raise funding and thus institutions must ensure that they can raise and retain debt capital to meet the margin or collateral calls on their leveraged positions.

Strategic risk

Strategic risks can arise from a poor strategic business decisions and include legal risk, reputational risk and systematic and model risks.

Basel Committee on Banking Supervision

The Basel Committee on Banking Supervision (BCBS) was formed in 1974 by central bankers from the G10 countries. The committee is headquartered in the office of the Bank for International Settlements (BIS) in Basel, Switzerland. BCBS is the primary global standard setter for the prudential regulation of banks and provides a forum for regular cooperation on banking supervisory matters. Its 45 members comprise central banks and bank supervisors from 28 jurisdictions. Member countries include Australia, Belgium, Canada, Brazil, China, France, Hong Kong, Italy, Germany, India, Korea, the United States, the United Kingdom, Luxembourg, Japan, Russia, Switzerland, Netherlands, Singapore, South Africa among many others.

Over the years, BCBS has developed influential policy recommendations concerning international banking and financial regulations in order to exercise judicious corporate governance and risk management (especially market, credit and operational risks), known as the Basel Accords. The key function of Basel accords is to manage banks’ capital requirements and ensure they hold enough cash reserves to meet their respective financial obligations and henceforth survive in any financial and/or economic distress.

Over the years, the following versions of the Basel accords have been released in order to enhance international banking regulatory frameworks and improve the sector’s ability to manage with financial distress, improve risk management and promote transparency:

Basel I

The first of the Basel accords, Basel I (also known as Basel Capital Accord) was developed in 1988 and implemented in the G10 countries by 1992. The regulations intended to improve the stability of the financial institutions by setting minimum capital reserve requirements for international banks and provided a framework for managing of credit risk through the risk-weighting of different assets which was also used for assessing banks’ credit worthiness.
However, there were many limitations to this accord, one of which being that Basel I only focused on credit risk ignoring other risk types like market risk, operational risk, strategic risk, macroeconomic conditions etc. that were not covered by the regulations. Also, the requirements posed by the accord were nearly the same for all banks, no matter what the bank’s risk level and activity type.

Basel II

Basel II regulations were developed in 2004 as an extension of Basel I, with a more comprehensive risk management framework and thereby including standardized measures for managing credit, operational and market risks. Basel II strengthened corporate supervisory mechanisms and market transparency by developing disclosure requirements for international regulations inducing market discipline.

Basel III

After the 2008 Financial Crisis, it was perceived by the BCBS that the Basel regulations still needed to be strengthened in areas like more efficient coverage of banks’ risk exposures and quality and measure of the regulatory capital corresponding to banks’ risks.
Basel III intends to correct the miscalculations of risk that were believed to have contributed to the crisis by requiring banks to hold higher percentages of their assets in more liquid instruments and get funding through more equity than debt. Basel III thus tries to strengthen resilience and reduce the risk of system-wide financial shocks and prevent future economic credit events. The Basel III regulations were introduced in 2009 and the implementation deadline was initially set for 2015 however, due to conflicting negotiations it has been repeatedly postponed and currently set to January 1, 2022.

Risk Measures

Efficient risk measurement based on relevant risk measures is a fundamental pillar of the risk management. The following are common measures used by institutions to facilitate quantitative risk management:

Value at risk (VaR)

VaR is the most extensively used risk measure and essentially refers to the maximum loss that should not be exceeded during a specific period of time with a given probability. VaR is mainly used to calculate minimum capital requirements for institutions that are needed to fulfill their financial obligations, decide limits for asset management and allocation, calculate insurance premiums based on risk and set margin for derivatives transactions.
To estimate market risk, we model the statistical distribution of the changes in the market position. Usual models used for the task include normal distribution, the historical distribution and the distributions based on Monte Carlo simulations.

Expected Shortfall

The Expected Shortfall (ES) (also known as Conditional VaR (CVaR), Average Value at risk (AVaR), Expected Tail Loss (ETL) or Beyond the VaR (BVaR)) is a statistic measure used to quantify the market risk of a portfolio. This measure represents the expected loss when it is greater than the value of the VaR calculated with a specific probability level (also known as confidence level).

Credit Risk Measures

Probability of Default (PD) is the probability that a borrower may default on his debt over a period of 1 year. Exposure at Default (EAD) is the expected amount outstanding in case the borrower defaults and Loss given Default (LGD) refers to the amount expected to lose by the lender as a proportion of the EAD. Thus the expected loss in case of default is calculated as PD*EAD*LGD.

Useful resources

Articles

Longin F. (1996) The asymptotic distribution of extreme stock market returns Journal of Business, 63, 383-408.

Longin F. (2000) From VaR to stress testing : the extreme value approach Journal of Banking and Finance, 24, 1097-1130.

Longin F. and B. Solnik (2001) Extreme correlation of international equity markets Journal of Finance, 56, 651-678.

Books

Embrechts P., C. Klüppelberg and T Mikosch (1997) Modelling Extremal Events for Insurance and Finance.

Embrechts P., R. Frey, McNeil A. J. (2022) Quantitative Risk Management, Princeton University Press.

Gumbel, E. J. (1958) Statistics of extremes. New York: Columbia University Press.

Longin F. (2016) Extreme events in finance: a handbook of extreme value theory and its applications Wiley Editions.
Corporate Finance Institute Basel Accords

Other materials

QRM Tutorial

About the author

The article was written in September 2021 by Jayati WALIA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Examples of companies issuing bonds

June 14, 2021 by Rodolphe CHOLLAT-NAMY

Examples of companies issuing bonds

In this article, Rodolphe CHOLLAT-NAMY (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2023) provides you with examples of companies issuing bonds.

In order to better understand corporate bonds, it is appropriate to look at recent issues to see their different characteristics: Veolia, Essilorluxottica and LVMH.

Véolia: EUR 700 million 6-year bond issuance with negative interest rate

The company

Veolia is a French multinational utility company. It markets water, waste and energy management services for local authorities and companies.

It employs more than 163,000 employees and had revenues of €27 billion in 2019.

The company recently made headlines in the financial news with its takeover bid for Suez. After months of financial, political and media battle, the French giants finally agreed on a merger. The new group is expected to have a 5% share of the world market with 230,000 employees.

The bond issuance

On Monday, January 11, 2021, Veolia issued €700 million of bonds maturing in January 2027 at a negative rate of -0.021%.

This is the first time that a BBB-rated issuer has obtained a negative rate for this maturity. This was due to strong demand from investors who welcomed the transaction. As a result, the order book reached up to 2 billion euros, which allowed for a negative yield. This reflects the very positive perception of Veolia, as well as the credibility of its proposed merger with Suez.

This example is quite symptomatic of the low-rate period we are currently in. Indeed, we see here that a company can take on debt at negative rates.

Essilorluxottica: €3 billion bond issuance

The company

EssilorLuxottica is a Franco-Italian multinational company, resulting from the 2018 merger of the French company Essilor and the Italian company Luxottica. It is one of the leading groups in the design, production and marketing of ophthalmic lenses, optical equipment, prescription glasses and sunglasses.

The group employs more than 153,000 people and had sales of EUR 14 billion in 2002.

The bond issuance

On Thursday, May 28, 2020, EssilorLuxottica issued €3 billion of bonds. The bonds have maturities of 3.6 years, 5.6 years and 8 years, with rates of 0.25%, 0.375% and 0.5% respectively.

Demand was very high as the order book reached almost 11 billion euros, reflecting investors’ confidence in EssilorLuxottica’s model.

This example allows us to notice that during an issue, bonds of different maturities can be issued at the same time. This allows us to respond adequately to financing needs by allowing us to play on the maturity and therefore on the rates. Here, the rates increase with time. In fact, outside of recessionary periods, this correlation is observed because the risks for investors increase with time. In the same way, their money is immobilized for a longer period of time and therefore must be remunerated for that.

LVMH: 9.3-billion-euro bond issuance

The company

LVMH is a French group of companies, today a world leader in the luxury goods industry. The firm has a portfolio of seventy brands including Moët, Hennessy, Louis Vuitton, Dior, Céline, …

The group employs more than 163,000 employees and had a turnover of 53 billion euros in 2019.

Announced in November 2019, then canceled because of Covid-19, the takeover of Tiffany finally took place in January 2021 for a total amount of $ 15.8 billion.

The bond issuance

On February 6, 2020, LVMH issued €9.3 billion in bonds, denominated in euros and pounds sterling. This was the largest bond issue in Europe since AB inBev in 2016. The maturities of the bonds issued range up to 11 years with a yield of 0.45%. Some tranches, including the four-year euro tranche, have a negative yield. The overall cost of this financing is estimated at 0.05%.

The purpose of this issue was to refinance the acquisition of Tiffany. It received strong interest from investors with an order book of nearly 23 billion euros. In addition, LVMH benefited from very favorable market conditions. Indeed, January had been rather weak in terms of the volume of issues by companies in the investment grade category and had been dominated by those in the high yield category. Thus, investors had a lot of liquidity to invest in more secure investments. Finally, LVMH issues few bonds even though the group is highly rated. Investors were therefore looking to acquire its debt.

This example allows us to understand the conditions of a record issue. Moreover, it also allows us to underline that it is possible to resort to borrowing to finance new projects, current expenses or, in this case, an acquisition.

Useful resources

Rating agencies

▶ Rodolphe CHOLLAT-NAMY Bond valuation

▶ Rodolphe CHOLLAT-NAMY Bond risks

▶ Rodolphe CHOLLAT-NAMY Bond markets

▶ Bijal GANDHI Credit Rating

▶ Jayati WALIA Credit risk

About the author

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

Credit analyst

June 14, 2021 by Rodolphe CHOLLAT-NAMY

Credit analyst

In this article, Rodolphe CHOLLAT-NAMY (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2023) introduces you to the job of credit analyst.

Within an investment bank, several jobs are directly linked to bonds. Among them is that of credit analyst. What does a credit analyst do? What are the qualities required to be a credit analyst?

The missions of a credit analyst

Within a bank, the role of the credit analyst is to study in depth the financial situation of companies (risk assessment, analysis of strengths and weaknesses, analysis of financial accounts, etc.) in order to determine their solvency.

More concretely, analysts have three main tasks:

Firstly, as mentioned above, analysts conduct in-depth analyses of the financial statements and credit applications of the companies under their responsibility. They keep abreast of their current situation and closely monitor any developments that may affect their debt capacity.

Secondly, analysts provide recommendations related to the analysis and evaluation of the credit risk. If they think that the company is solid, they can for example propose to buy bonds of this company, which would thus constitute a safe investment. On the other hand, if they believe that the risk of default is increasing, they will propose to sell.

Finally, a significant part of analysts’ job is to present their results. This may take the form of a daily summary publication, or a more in-depth quarterly or annual publication. In addition, analysts may have to meet with the bank’s clients, mainly investors, to present their recommendations.

In addition, there may be ancillary tasks. For example, analysts may seek to develop new mathematical and statistical models to improve their understanding of bond risks.

What is the day-to-day life of a credit analyst like?

Analysts’ day starts early, before the financial markets open, so that he has time to brief investors on the latest bond news in the sectors they follow.

After that, their day depends very much on the calendar of the companies he or she follow. During the quarterly publications of these companies, they will spend time reading them and collecting the information contained in them. Similarly, they will attend the various conferences organized by these companies to explain the published results. The rest of the time, they will analyze this information, update their projection models and update their recommendations.

As the end of the semester or the year approaches, credit analysts’ days can become longer because they have to produce a semiannual or annual publication in which their recall the economic context and their recommendations. Following the publication of this, they will often make a tour of their clients to present it. This is known as a roadshow.

The qualities required to be a good credit analyst

Several qualities are necessary to be a good credit analyst.

First of all, credit analysts have strong corporate finance skills. In particular, they have a good understanding of corporate debt and liquidity ratios. The main ratios are: the debt-to-equity ratio which informs on the financial structure of the company, the interest coverage ratio which measures the capacity of a company to pay its interests and the debt-to-EBITDA ratio which measures the capacity of the company to repay its debt with the money generated by its activity.

Secondly, it is imperative to be very rigorous. Indeed, the quality of the analyses depends on the data collected. Analysts cannot afford to make mistakes in the figures they report. To this end, they have recourse to several sources of information: companies’ annual reports, press releases, financial statements, as well as market analyses produced by other players. It is important to note that all this information is public. Indeed, for legal reasons, to avoid insider trading, analysts have limited access to the information.

In addition, analysts must have strong synthesis skills. It is their analysis that investors will buy. It must therefore be as relevant as possible in order to present the best possible guidance. Moreover, the format of these analyses must also be carefully designed. They must be easily understandable by its readers. Analysts must therefore have presentation skills in order to sell them. It is important to take care of the content and the form.

Finally, analysts improve over time. They usually cover a particular sector. For example, he or she will be a specialist in the automotive sector. The better their knowledge of the sector, the more relevant their analysis. To do this, they must be familiar with the general environment of the sector they are following in order to identify future trends. Secondly, they must build up a database of the companies they follow. The more accurate and long-standing the database, the better they will be able to put the new information they collect into perspective.

Useful resources

Rating agencies

About the author

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

Why do companies issue debt?

June 14, 2021 by Rodolphe CHOLLAT-NAMY

Why do companies issue debt?

In this article, Rodolphe CHOLLAT-NAMY (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2023) provides insights into why companies issue bonds.

A company can finance its activities in different ways: by internal financing (self-financing) and by external financing comprising debt and equity. Often, internal funds are not sufficient. The company must therefore make a choice between raising debt and raising equity. So, it is necessary to ask what might lead a company to prefer one over the other.

The advantages of debt over equity for a company

Debt is often preferred to equity because it is structurally less costly for the following reasons:

– The interest on the debt is tax deductible. The debt therefore costs the interest minus the tax savings (assuming that the company makes profit and pays taxes…).

– Investing in stocks is riskier than investing in bonds because of a number of factors. For instance, the stock market has a higher volatility of returns than the bond market, capital gains are not a guarantee, dividends are discretionary, stockholders have a lower claim on company assets in case of company default. Therefore, investor expect higher returns to compensate it for the additional risk. Thus, for the company, financing itself through debt will be less expensive than through equity.

– The remuneration of the debt is not strictly proportional to the increase of the risk taken by the company, because there are multiple ways for lenders to take guarantees: leasing, mortgage….

Debt has other advantages over equity:

Debt can be used to gain leverage. It provides a leverage effect for shareholders who contribute only part of the sums mobilized in the investment. This effect is all the more important when the interest rate at which the debt is subscribed is low and the economic profitability of the investment is high.

Raising equity dilutes ownership of existing stockholders. When a company sells equity, it gives up ownership of its business. This has both financial and day-to-day operational implications for the business. Debt does not imply such a dilution effect.

There is a practical benefit for using debt. Issuing debt is easier than issuing equity in practice.

Finally, the terms of repayment of principal and interest payments are known in advance. This allows companies to anticipate future expenses.

The disadvantages of debt over equity

First, unlike equity, debt must be repaid at some point. This is because equity financing is like taking a share in the company in exchange for cash. Thus, where cash outflows are required to pay interest on debt and repay principal, this is not useful for equity.

Moreover, in equity financing, the risk is carried by the stockholders. If the company fails, they will lose their stake in the company. In contrast, in debt financing, creditors often require assets to be secured. Thus, if the company goes bankrupt, they can take the collateral.

Finally, the debt capacity of a company is limited. Indeed, the more debt a company takes on, the higher the risk of default. Thus, creditors will ask an already highly leveraged company for higher interest rates to compensate for the risk they are taking. Conversely, equity financing allows companies to improve their capital structure, and thus present better debt ratios to investors.

Useful resources

Rating agencies

About the author

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

Bond risks

May 30, 2021 by Rodolphe CHOLLAT-NAMY

Bond risks

In this article, Rodolphe CHOLLAT-NAMY (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2023) introduces you to bond risks.

Holding bonds exposes you to fluctuations in its price, both up and down. Nevertheless, bonds offer the guarantee of a coupon regularly paid during for a fixed period. Investing in bonds has long been considered one of the safest investments, especially if the securities are held to maturity. Nevertheless, a number of risks exist. What are these risks? How are they defined?

Default risk

Default risk is the risk that a company, local authority or government fails to pay the coupons or repay the face value of the bonds they issued. This risk can be low, moderate or high. It depends on the quality of the issuer.

For a given product, the default risk is mainly measured by rating agencies. Three agencies share 95% of the world’s rating requests. Moody’s and Standard & Poor’s (S&P) each hold 40% of the market, and Fitch Ratings 14%. The highest rated bonds (from Aaa to Baa3 at Moody’s and from AAA to BBB- at S&P and Fitch) are investment-grade bonds. The lowest rated bonds (Ba1 to Caa3 at Moody’s and BB+ to D at S&P and Fitch) are high yield bonds, otherwise known as junk bonds.

It should be noted that the opinions produced by an agency are advisory and indicative. Moreover, some criticisms have emerged. As agencies rate their clients, questions may be asked about their independence and therefore their impartiality. The analysis done aby rating agencies is most of the time paid by the entities that want their product to be rated.

In addition, companies issuing bonds are increasingly using the technique of “debt subordination”. This technique makes it possible to establish an order of priority between the different types of bonds issued by the same company, in the event that the company is unable to honor all its financial commitments. The order of priority is senior, mezzanine and junior debt. The higher the risk is, the higher the return is. It should also be noted that bonds have priority over equity.

To highlight the level of risk of an issuer, one can compare the yield of its bonds to those of a risk-free issuer. This is called the spread. Theoretically, it is the difference between the yield to maturity of a given bond and that of a zero-coupon bond with similar characteristics. The spread is usually measured in basis points (0.01%).

Liquidity risk

Liquidity risk is the degree of easiness in being able to buy or sell bonds in the secondary market quickly and at the desired price (i.e. with a limited price impact). If the market is illiquid, a bondholder who wishes to sell will have to agree to a substantial discount on the expected price in the best case, and will not be able to sell the bonds at all in the worst case.

The risk depends on the size of the issuance and the existence and functioning of the secondary market for the security. The liquidity of the secondary market varies from one currency to another and changes over time. In addition, a rating downgrade may affect the marketability of a security.

On the other hand, it may be an opportunity for investors who want to keep their illiquid bonds. Indeed, they usually get a better return. This is called the “liquidity premium”. It rewards the risk inherent in the investment and the unavailability of funds during this period.

Interest rate risk

The price of a bond fluctuates with interest rates. The price of a bond is inversely correlated to interest rates (the discount rate used to compute its present value). Indeed, the nominal interest rates follow the key rates. Thus, if rates rise, the coupons offered by new bonds will be higher than those offered by older bonds, issued with lower rates. Investors will therefore prefer the new bonds, which offer a better return, which will automatically lower the price of the older ones.

The interest rate risk is increasing with the maturity of the bond (more precisely its duration). The risk is low for bonds with a life of less than 3 years, moderate for bonds with a life of 3 to 5 years and high for bonds with a life of more than 5 years. However, interest rate risk does not impact investors who hold their bonds to maturity.

Inflation risk

Inflation presents a double risk to bondholders. Firstly, if inflation rises, the value of an investment in bonds will necessarily fall. For example, if an investor purchases a 5% fixed-rate bond, and inflation rises to 10% per year, the bondholder will lose money on the investment because the purchasing power of the proceeds has been greatly diminished. Secondly, high inflation can lead central banks to raise rates in order to tackle it, which, as we can see above, will depreciate the value of the bond.

To protect against this, some bonds, floating-rates bonds, are indexed to inflation. They guarantee their holders a daily readjustment of the value of their investment according to the evolution of inflation. However, these bonds have a cost in terms of return.

As with interest rate risk, the risk increases with the maturity of the bond. Also, the risk rises as the coupon decreases. The risk is therefore very high for zero-coupon bonds.

Currency risk

An investor can buy bonds in a currency other than its own. However, as with any investment in a foreign currency, the return on the bond will depend on the rate of that currency relative to the investor’s own currency.

For example, if an investor holds a $100 US bond. If the EUR/USD exchange rate is 1.30, the price of the bond will be €76.9. If the euro appreciates against the dollar and the exchange rate rises to 1.40, the price of the bond will be €71.4. Thus, the investor will lose money.

Useful resources

Rating agencies

▶ Rodolphe CHOLLAT-NAMY Bond valuation

▶ Rodolphe CHOLLAT-NAMY Bond markets

▶ Bijal GANDHI Credit Rating

▶ Jayati WALIA Credit risk

About the author

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

Credit Rating

May 27, 2021 by Bijal GANDHI

Credit Rating

In this article, Bijal GANDHI (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) elaborates on the concept of Credit Rating.

This reading will help you understand the meaning, types, and importance of credit rating.

Introduction

Credit rating is the measurement of ability of the entity that seeks to borrow money to repay its financial obligation. Credit rating is based on the earning capacity of an entity as well as the history of the repayment of their past obligations. The entity seeking to borrow money can be an individual, a corporation, a state (at a national or federal level for some countries like the US), or a government agency. Credit ratings are used by banks and investors as one of the factors to determine their decision to lend money or not. Banks would develop their own credit analysis to decide to lend or not while investors would rely on the analysis by rating agencies to invest in credit products like commercial papers or bonds.

Rating agencies

The credit agency calculates the credit rating of an entity by analyzing its qualitative and quantitative attributes. Information can be procured from internal information directly provided by the entity such as financial statements, annual reports, etc. as well as external information such as analyst reports, published news articles, overall industry, etc.

A credit agency is not a part of the deal and therefore does not have any role involved in the transaction and, therefore, is assumed to provide an independent and honest opinion on the credit risk associated by a particular entity seeking to raise money through various means.

Now, three prominent credit agencies contribute 85% to the overall rating market:
1. Moody’s Investor Services
2. Standard and Poor’s (S&P)
3. Fitch Group

Each agency mentioned above utilizes a unique yet similar rating style to calculate credit ratings like described below,

Types of Credit Rating

Credit rating agencies use their terminology to determine credit ratings. Even so, the terminology is surprisingly similar among the three credit agencies mentioned above. Furthermore, ratings are grouped into two main categories:

Investment grade

These ratings indicate the investment is considered robust by the rating agencies, and the issuer is likely to complete the terms of repayment. As a result, these investments are usually less competitively priced when compared to speculative-grade investments.

Speculative grade

These investments are of a high-risk nature and hence offer higher interest rates to reflect the quality of the investments.

Users of Credit Rating

Credit Ratings are used by multiple entities like the following:

Institutional investors

Institutional investors like pension funds or insurance companies utilize credit ratings to assess the risk associated to a particular investment issuance, ideally with reference to their entire portfolio. According to the rate of a particular asset, it may or not include it in its portfolio.

Intermediaries

Credit ratings are used by intermediaries such as investment bankers, which utilize these ratings to evaluate credit risk and therefore derive pricing for debt issues.

Debt Issuers

Debt issuers like governments, institutions, etc. use credit ratings to evaluate their creditworthiness and to measure the credit risk associated with their debt issuance. These ratings can furthermore provide prospective investors in these organizations with an idea of the quality of the instruments issued by the organization and the kind of interest rate they could expect from such instruments.

Businesses & Corporations

Business organizations can use credit ratings to evaluate the risk associated with certain other organizations with which the business plans to have a future transaction/collaboration. Credit ratings, therefore, help entities that are interested in partnerships or ventures with other businesses to evaluate the viability of their propositions.

Understanding Credit Rating

A loan is a debt, which is the financial obligation with respect to its future repayment by the debtor. A credit rating helps to distinguish between debtors who are more liable to repay the loan compared to debtors who are more likely to be defaulters.

A high credit rating indicates the repayment of the loan by the entity without any possible defaults. A poor credit rating indicates the possibility of the entity defaulting the repayment of loans due to their past patterns with respect to loan repayments. As a result of the strong emphasis on credit rating, it affects an entity’s chance of being approved for a loan and receiving favorable terms for that loan.

Credit ratings apply to both businesses and the government. For example, sovereign credit ratings apply to the national government whereas corporate credit ratings apply for cooperation. On the other hand, credit scores apply only to individuals and are calculated by agencies such as Equifax, Experian, and TransUnion for the citizens of the United States.

Credit ratings can be short-term or long-term. A short-term credit rating reflects the history of an entity’s rating with respect to recent loan repayments and therefore poses a possibility for this borrower to default with its loan repayment when compared to entities with long-term credit ratings.

Credit rating agencies usually assign alphabet grades to indicate ratings. For example, S&P Global has a credit rating scaling from AAA (excellent) to C and D. They consider a debt instrument with a rating below BB to be a speculative-grade or junk bond, indicating they are more likely to default on loans.

Importance of Credit Ratings

Credit ratings for entities are calculated based on due diligence conducted by the rating agencies. While a borrowing entity will aim to have the highest possible credit rating, the rating agencies aim to take a balanced and objective view of the borrowing entity’s financial situation and capacity to honor/repay the debt. Keeping this in mind, mentioned below are the importance of credit ratings for various entities:

For Lending Entities

Credit ratings give an honest image of a borrowing entity. Since no money lender would want to risk giving their money to a risky entity with a high possibility of default from their part, credit ratings genuinely help money lenders to assess the worthiness of the following entity and the risk associated with that entity, therefore helping them to make better investment decisions. Credit ratings act as a safety guard because higher credit ratings assure the safety of money and timely repayment of the same with interest.

For Borrowing Entities

Since credit ratings provide an honest review of a borrower’s ability to repay a loan, borrowers with high credit ratings find it easier to get loans approved by money lenders at interest rates that are more favorable to them. A considerable rate of interest is very important for a borrowing entity because higher interest rates make it more difficult for a borrower to repay the loan and fulfill their financial obligations. Therefore, maintaining a high credit rating is essential for a borrower as it helps them get a considerable amount of relaxation when it comes to a rate of interest for the loan issued to them. Finally, it is also important for a borrower to ensure that their credit rating has a long history of high rating. Just because a credit rating is all about longevity. A credit rating with a long credit history is viewed as more attractive when compared to a credit rating with a short credit history.

For Investors

Credit ratings play a very crucial role when it comes to a potential investor’s decision to invest or not in a particular bond. Now, investors have different risk natures associated with them. In general, investors, who are generally risk-averse in nature, are more likely to invest in bonds with higher credit ratings when compared to lower credit ratings. At the same time, credit ratings help investors, who are risk lovers to differentiate between bonds that are riskier due to the lower credit ratings and invest in them for higher returns at the risk of higher defaults associated with them. Overall, credit ratings help investors make more informed decisions about their investment schemes.

Useful resources

S&P Global Ratings

Fitch Ratings

About the author

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

Bond Markets

May 24, 2021 by Rodolphe CHOLLAT-NAMY

Bond markets

In this article, Rodolphe CHOLLAT-NAMY (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2023) introduces you to bond markets.

The bond market allows the financing of medium and long-term needs of States, local authorities and companies. In return, it offers opportunities to invest medium and long-term financing capacities. In order to understand the bond market, it is necessary to distinguish two markets. The primary market, where bonds are issued, and the secondary market, where they are traded. What are their characteristics?

The primary market

When an organization issues new bonds, it uses the primary bond market, where its securities are acquired by various investors.

The issue price of a bond is expressed as a percentage of the face value of the security. If the issue price is 100%, the price is said to be at par. If the issue price is above 100%, the price is said to be above par. If the issue price is below 100%, the price is said to be below par.

The nominal interest rate is used to calculate the coupon that will be paid to the bondholder. The interest rate at the issuance date depends on the default risk of the issuer reflecting its financial quality. This default risk is usually evaluated by rating agencies (S&P, Moody’s, Fitch).

There are two principal ways to issue bonds: syndication and auction.

Syndication

Syndication is the most common way to issue debt, widely used by companies, governments and other organizations. Syndication is when several financial institutions join together to ensure the placement of a bond with investors in order to reduce their risk exposure.

In a syndication, there are two types of financial institution: the lead bank, which arranges the transaction and manages the loan syndication, and the so-called “junior” banks, which participate in the transaction without setting the terms.

There are two types of syndication. “Full commitment” is where the lead bank commits to providing the company with the capital it needs and then subcontracts part of the financing to the other members of the syndicate to limit its exposure. “Best effort” is when the amount of the loan is determined by the commitments that the banks are willing to make in a financing transaction.

Auction

Auction is used by governments only. It is their preferred method of issuing sovereign debt. It allows the acquisition of a debt security through an auction system.

The auction can be “open”, i.e. all direct participants in public securities auctions (credit institutions, management and intermediation companies, etc.) have the possibility of acquiring part of the security put up for auction. It can also be “targeted”, i.e. the issue is reserved only for the primary dealers – banks or other financial institutions that has been approved to trade securities – of the issuing State.

A few days before the planned date of an auction, the State makes an announcement, confirming, postponing or cancelling the operation. It also gives the characteristics of the securities to be issued, i.e. the type of securities, the maturity and the amount it wishes to raise. Buyers can then submit several bids, each specifying the desired quantity and price. The issue lines are then auctioned to the highest bidders. The higher the demand is, the lower the issue rate is.

Auction is used because it provides investors, among other things, with transparency and free competition on an investment product with an attractive benefit in relation to a low risk level.

The secondary market

Once issued, a bond can be traded on the secondary bond market. It then becomes a tradable financial instrument, and its price fluctuates over time.

On entering the market, a bond will compete with other bonds. If it offers a higher return than other bonds for the same risk, the bond will be in demand, which will drive up its price. For the most part, transactions are conducted over the counter (OTC). Buyers and sellers interrogate several “market makers” who give them buying or selling prices, and then choose the intermediary who makes the best offer.

A number of bond indices exist for the purposes of managing portfolios and measuring performance, similar to the CAC40 for stocks. The most common American benchmarks are the Barclays Capital Aggregate Bond Index and Citigroup BIG.

A bond is quoted as a percentage of its face value. Thus, if it is trading at 85% of its nominal value of €1,000, it is quoted at €850. In addition, the bond is quoted at the coupon footer, i.e. without the accrued coupon.

The accrued coupon is the interest that has been earned but not yet paid since the most recent interest payment. It is calculated as follows: accrued coupon = (number of days/365) x face rate – with the face rate being the rate on the basis of which interest is calculated at the end of a full year for the nominal value of the bond -.

To better understand this mechanism, let us take an example:

Consider a 6% bond with a nominal value of €1,000, with an entitlement to dividends on 12/31 (coupon payment date). It is assumed that the bond is worth €925 on 09/30.

Gross annual interest: 1,000 x 6% = €60.

The accrued coupon on 09/30 is: 60 x 9/12 = 45 €.

Quotation at the foot of the coupon: 925 – 45 = €880.

Percentage quotation: 880 x 100/ 1000 = 88%.

The quoted price will be: 88%.

In the market, bondholders are subject to risks (interest rate risk, exchange rate risk, inflation risk, credit risk, etc.). We will come back to this in a future article.

Useful resources

Rating agencies