Fixed-income

Fixed-income arbitrage strategy

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Fixed-income arbitrage strategy

Youssef LOURAOUI

In this article, Youssef LOURAOUI (Bayes Business School, MSc. Energy, Trade & Finance, 2021-2022) presents the fixed-income arbitrage strategy which is a well-known strategy used by hedge funds. The objective of the fixed-income arbitrage strategy is to benefit from trends or disequilibrium in the prices of fixed-income securities using systematic and discretionary trading strategies.

This article is structured as follow: we introduce the fixed-income arbitrage strategy principle. Then, we present a practical case study to grasp the overall methodology of this strategy. We also present a performance analysis of this strategy and compare it a benchmark representing all hedge fund strategies (Credit Suisse Hedge Fund index) and a benchmark for the global equity market (MSCI All World Index).

Introduction

According to Credit Suisse (a financial institution publishing hedge fund indexes), a fixed-income arbitrage strategy can be defined as follows: “Fixed-income arbitrage funds attempt to generate profits by exploiting inefficiencies and price anomalies between related fixed-income securities. Funds limit volatility by hedging out exposure to the market and interest rate risk. Strategies include leveraging long and short positions in similar fixed-income securities that are related either mathematically or economically. The sector includes credit yield curve relative value trading involving interest rate swaps, government securities and futures, volatility trading involving options, and mortgage-backed securities arbitrage (the mortgage-backed market is primarily US-based and over-the-counter)”.

Types of arbitrage

Fixed-income arbitrage makes money based on two main underlying concepts:

Pure arbitrage

Identical instruments should have identical price (this is the law of one price). This could be the case, for instance, of two futures contracts traded on two different exchanges. This mispricing could be used by going long the undervalued contract and short the overvalued contract. This strategy uses to work in the days before the rise of electronic trading. Now, pure arbitrage is much less obvious as information is accessible instantly and algorithmic trading wipe out this kind of market anomalies.

Relative value arbitrage

Similar instruments should have a similar price. The fundamental rationale of this type of arbitrage is the notion of reversion to the long-term mean (or normal relative valuations).

Factors that influence fixed-income arbitrage strategies

We list below the sources of market inefficiencies that fixed-income arbitrage funds can exploit.

Market segmentation

Segmentation is of concern for fixed-income arbitrageurs. In financial institutions, the fixed-income desk is split into different traders looking at specific parts of the yield curve. In this instance, some will focus on very short, dated bonds, others while concentrate in the middle part of the yield curve (2-5y) while other while be looking at the long-end of the yield curve (10-30y).

Regulation

Regulation has an implication in the kind of fixed-income securities a fund can hold in their books. Some legislations regulate actively to have specific exposure to high yield securities (junk bonds) since their probability of default is much more important. The diminished popularity linked to the tight regulation can make the valuation of those bonds more attractive than owning investment grade bonds.

Liquidity

Liquidity is also an important concern for this type of strategy. The more liquid the market, the easier it is to trade and execute the strategy (vice versa).

Volatility

Large market movements in the market can have implications to the profitability of this kind of strategy.

Instrument complexity

Instrument complexity can also be a reason to have fixed-income securities. The events of 2008 are a clear example of how banks and regulators didn’t manage to price correctly the complex instruments sold in the market which were highly risky.

Application of a fixed-income arbitrage

Fixed-income arbitrage strategy makes money by focusing on the liquidity and volatility factors generating risk premia. The strategy can potentially generate returns in both rising and falling markets. However, understanding the yield curve structure of interest rates and detecting the relative valuation differential between fixed-income securities is the key concern since this is what makes this strategy profitable (or not!).

We present below a case study related tot eh behavior of the yield curves in the European fixed-income markets inn the mid 1990’s

The European yield curve differential during in the mid 1990’s

The case showed in this example is the relative-value trade between Germany and Italian yields during the period before the adoption of the Euro as a common currency (at the end of the 1990s). The yield curve should reflect the future path of interest rates. The Maastricht treaty (signed on 7th February 1992) obliged most EU member states to adopt the Euro if certain monetary and budgetary conditions were met. This would imply that the future path of interest rates for Germany and Italy should converge towards the same values. However, the differential in terms of interest rates at that point was nearly 350 bps from 5-year maturity onwards (3.5% spread) as shown in Figure 1.

Figure 1. German and Italian yield curve in January 1995.
German and Italian yield curve in January 1995
Source: Motson (2022) (Data: Bloomberg).

A fixed-income arbitrageur could have profited by entering in an interest rate swap where the investor receives 5y-5y forward Italian rates and pays 5y-5y German rates. If the Euro is introduced, then the spread between the two yield curves for the 5-10y part should converge to zero. As captured in Figure 2, the rates converged towards the same value in 1998, where the spread between the two rates converged to zero.

Figure 2. Payoff of the fixed-income arbitrage strategy.
Payoff of the fixed-income arbitrage strategy.
Source: Motson (2022) (Data: Bloomberg).

Performance of the fixed-income arbitrage strategy

Overall, the performance of the fixed-income arbitrage between 1994-2020 were smaller on scale, with occasional large drawdowns (Asian crisis 1998, Great Financial Crisis of 2008, Covid-19 pandemic 2020). This strategy is skewed towards small positive returns but with important tail-risk (heavy losses) according to Credit Suisse (2022). To capture the performance of the fixed-income arbitrage strategy, we use the Credit Suisse hedge fund strategy index. To establish a comparison between the performance of the global equity market and the fixed-income arbitrage strategy, we examine the rebased performance of the Credit Suisse index with respect to the MSCI All-World Index.

Over a period from 2002 to 2022, the fixed-income arbitrage strategy index managed to generate an annualized return of 3.81% with an annualized volatility of 5.84%, leading to a Sharpe ratio of 0.129. Over the same period, the Credit Suisse Hedge Fund index Index managed to generate an annualized return of 5.04% with an annualized volatility of 5.64%, leading to a Sharpe ratio of 0.197. The results are in line with the idea of global diversification and decorrelation of returns derived from the global macro strategy from global equity returns. Overall, the Credit Suisse fixed-income arbitrage strategy index performed better than the MSCI All World Index, leading to a higher Sharpe ratio (0.129 vs 0.08).

Figure 3 gives the performance of the fixed-income arbitrage funds (Credit Suisse Fixed-income Arbitrage Index) compared to the hedge funds (Credit Suisse Hedge Fund index) and the world equity funds (MSCI All-World Index) for the period from July 2002 to April 2021.

Figure 3. Performance of the fixed-income arbitrage strategy.
Global macro performance
Source: computation by the author (Data: Bloomberg).

You can find below the Excel spreadsheet that complements the explanations about the fixed-income arbitrage strategy.

Fixed-income arbitrage

Why should I be interested in this post?

The fixed-income arbitrage strategy aims to profit from market dislocations in the fixed-income market. This can be implemented, for instance, by investing in inexpensive fixed-income securities that the fund manager predicts that it will increase in value, while simultaneously shorting overvalued fixed-income securities to mitigate losses. Understanding the profits and risks associated with such a strategy may aid investors in adopting this hedge fund strategy into their portfolio allocation.

Related posts on the SimTrade blog

Hedge funds

   ▶ Youssef LOURAOUI Introduction to Hedge Funds

   ▶ Youssef LOURAOUI Global macro strategy

   ▶ Youssef LOURAOUI Long/short equity strategy

Financial techniques

   ▶ Youssef LOURAOUI Yield curve structure and interest rate calibration

   ▶ Akshit GUPTA Interest rate swaps

   ▶ Youssef LOURAOUI Portfolio

Useful resources

Academic research

Pedersen, L. H., 2015. Efficiently Inefficient: How Smart Money Invests and Market Prices Are Determined. Princeton University Press.

Motson, N. 2022. Hedge fund elective. Bayes (formerly Cass) Business School.

Business Analysis

Credit Suisse Hedge fund strategy

Credit Suisse Hedge fund performance

Credit Suisse Fixed-income arbitrage strategy

Credit Suisse Fixed-income arbitrage performance benchmark

About the author

The article was written in January 2023 by Youssef LOURAOUI (Bayes Business School, MSc. Energy, Trade & Finance, 2021-2022).

Interest rate term structure and yield curve calibration

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Interest rate term structure and yield curve calibration

Youssef_Louraoui

In this article, Youssef LOURAOUI (Bayes Business School,, MSc. Energy, Trade & Finance, 2021-2022) presents the usage of a widely used model for building the yield curve, namely the Nelson-Seigel-Svensson model for interest rate calibration.

This article is structured as follows: we introduce the concept of the yield curve. Next, we present the mathematical foundations of the Nelson-Siegel-Svensson model. Finally, we illustrate the model with practical examples.

Introduction

Fine-tuning the term structure of interest rates is the cornerstone of a well-functioning financial market. For this reason, the testing of various term-structure estimation and forecasting models is an important topic in finance that has received considerable attention for several decades (Lorenčič, 2016).

The yield curve is a graphical representation of the term structure of interest rates (i.e. the relationship between the yield and the corresponding maturity of zero-coupon bonds issued by governments). The term structure of interest rates contains information on the yields of zero-coupon bonds of different maturities at a certain date (Lorenčič, 2016). The construction of the term structure is not a simple task due to the scarcity of zero-coupon bonds in the market, which are the basic elements to estimate the term structure. The majority of bonds traded in the market carry coupons (regular paiement of interests). The yields to maturity of coupon bonds with different maturities or coupons are not immediately comparable. Therefore, a method of measuring the term structure of interest rates is needed: zero-coupon interest rates (i.e. yields on bonds that do not pay coupons) should be estimated from the prices of coupon bonds of different maturities using interpolation methods, such as polynomial splines (e.g. cubic splines) and parsimonious functions (e.g. Nelson-Siegel).

As explained in an interesting paper that I read (Lorenčič, 2016), the prediction of the term structure of interest rates is a basic requirement for managing investment portfolios, valuing financial assets and their derivatives, calculating risk measures, valuing capital goods, managing pension funds, formulating economic policy, making decisions about household finances, and managing fixed income assets . The pricing of fixed income securities such as swaps, bonds and mortgage-backed securities depends on the yield curve. When considered together, the yields of non-defaulting government bonds with different characteristics reveal information about forward rates, which are potentially predictive of real economic activity and are therefore of interest to policy makers, market participants and economists. For instance, forward rates are often used in pricing models and can indicate market expectations of future inflation rates and currency appreciation/depreciation rates. Understanding the relationship between interest rates and the maturity of securities is a prerequisite for developing and testing the financial theory of monetary and financial economics. The accurate adjustment of the term structure of interest rates is the backbone of a well-functioning financial market, which is why the refinement of yield curve modelling and forecasting methods is an important topic in finance that has received considerable attention for several decades (Lorenčič, 2016).

The most commonly used models for estimating the zero-coupon curve are the Nelson-Siegel and cubic spline models. For example, the central banks of Belgium, Finland, France, Germany, Italy, Norway, Spain and Switzerland use the Nelson-Siegel model or a type of its improved extension to fit and forecast yield curves (BIS, 2005). The European Central Bank uses the Sonderlind-Svensson model, an extension of the Nelson-Siegel model, to estimate yield curves in the euro area (Coroneo, Nyholm & Vidova-Koleva, 2011).

Mathematical foundation of the Nelson-Siegel-Svensson model

In this article, we will deal with the Nelson-Siegel extended model, also known as the Nelson-Siegel-Svensson model. These models are relatively efficient in capturing the general shapes of the yield curve, which explains why they are widely used by central banks and market practitioners.

Mathematically, the formula of Nelson-Siegel-Svensson is given by:

img_SimTrade_NSS_equation

where

  • τ = time to maturity of a bond (in years)
  • β0 = parameter to capture for the level factor
  • β1= parameter to capture the slope factor
  • β2 = parameter to capture the curvature factor
  • β3 = parameter to capture the magnitude of the second hump
  • λ1 and λ2 = parameters to capture the rate of exponential decay
  • exp = the mathematical exponential function

The parameters β0, β1, β2, β3, λ1 and λ2 can be calculated with the Excel add-in “Solver” by minimizing the sum of squared residuals between the dirty price (market value, present value) of the bonds and the model price of the bonds. The dirty price is a sum of the clean price, retrieved from Bloomberg, and accrued interest. Financial research propose that the Svensson model should be favored over the Nelson-Siegel model because the yield curve slopes down at the very long end, necessitating the second curvature component of the Svensson model to represent a second hump at longer maturities (Wahlstrøm, Paraschiv, and Schürle, 2022).

Application of the yield curve structure

In financial markets, yield curve structure is of the utmost importance, and it is an essential market indicator for central banks. During my last internship at the Central Bank of Morocco, I worked in the middle office, which is responsible for evaluating risk exposures and profits and losses on the positions taken by the bank on a 27.4 billion euro foreign reserve investment portfolio. Volatility evaluated by the standard deviation, mathematically defined as the deviation of a random variable (asset prices or returns in my example) from its expected value, is one of the primary risk exposure measurements. The standard deviation reveals the degree to which the present return deviates from the expected return. When analyzing the risk of an investment, it is one of the most used indicators employed by investors. Among other important exposures metrics, there is the VaR (Value at Risk) with a 99% confidence level and a 95% confidence level for 1-day and 30-day positions. In other words, the VaR is a metric used to calculate the maximum loss that a portfolio may sustain with a certain degree of confidence and time horizon.

Every day, the Head of the Middle Office arranges a general meeting in which he discusses a global debriefing of the most significant overnight financial news and a debriefing of the middle office desk for “watch out” assets that may present an investment opportunity. Consequently, the team is tasked with adhering to the investment decisions that define the firm, as it neither operates as an investment bank nor as a hedge fund in terms of risk and leverage. As the central bank is tasked with the unique responsibility of safeguarding the national reserve and determining the optimal mix of low-risk assets to invest in, it seeks a good asset strategy (AAA bonds from European countries coupled with American treasury bonds). The investment mechanism is comprised of the segmentation of the entire portfolio into three principal tranches, each with its own features. The first tranche (also known as the security tranche) is determined by calculating the national need for a currency that must be kept safe in order to establish exchange market stability (mostly based on short-term positions in low-risk profile assets) (Liquid and high rated bonds). The second tranche is based on a buy-and-hold strategy and a market approach. The first entails taking a long position on riskier assets than the first tranche until maturity, with no sales during the asset’s lifetime (riskier bonds and gold). The second strategy is based on the purchase and sale of liquid assets with the expectation of better returns.

Participants in the market are accustomed to categorizing the debt of eurozone nations. Germany and the Netherlands, for instance, are regarded as “core” nations, and their debt as safe-haven assets (Figure 1). Due to the stability of their yield spreads, France, Belgium, Austria, Ireland, and Finland are “semi-core” nations (Figure 1). Due to their higher bond yields and more volatile spreads, Spain, Portugal, Italy, and Greece are called “peripheral” (BNP Paribas, 2019) (Figure 2). The 10-year gap represents the difference between a country’s 10-year bond yield and the yield on the German benchmark bond. It is a sign of risk. Therefore, the greater the spread, the greater the risk. Figure 3 represents the yield curve for the Moroccan bond market.

Figure 1. Yield curves for core countries (Germany, Netherlands) and semi-core (France, Austria) of the euro zone.
Yield curves for core countries of the euro zone
Source: computation by the author.

Figure 2. Yield curves for peripheral countries of the euro zone
(Spain, Italy, Greece and Portugal).
Yield curves for semi-core countries of the euro zone
Source: computation by the author.

Figure 3. Yield curve for Morocco.
Yield curve for Morocco
Source: computation by the author.

This example provides a tool comparable to the one utilized by central banks to measure the change in the yield curve. It is an intuitive and simplified model created in an Excel spreadsheet that facilitates comprehension of the investment process. Indeed, it is capable of continuously refreshing the data by importing the most recent quotations (in this case, retrieved from investing.com, a reputable data source).

One observation can be made about the calibration limits of the Nelson-Seigel-Svensson model. In this sense, when the interest rate curve is in negative levels (as in the case of the structure of the Japanese curve), the NSS model does not manage to model negative values, obtaining a result with substantial deviations from spot rates. This can be interpreted as a failure of the NSS calibration approach to model a negative interest rate curve.

In conclusion, the NSS model is considered as one of the most used and preferred models by central banks to obtain the short- and long-term interest rate structure. Nevertheless, this model does not allow to model the structure of the curve for negative interest rates.

Excel file for the calibration model of the yield curve

You can download an Excel file with data to calibrate the yield curve for different countries. This spreadsheet has a special macro to extract the latest data pulled from investing.com website, a reliable source for time-series data.

Download the Excel file to compute yield curve structure

Why should I be interested in this post?

Predicting the term structure of interest rates is essential for managing investment portfolios, valuing financial assets and their derivatives, calculating risk measures, valuing capital goods, managing pension funds, formulating economic policy, deciding on household finances, and managing fixed income assets. The yield curve affects the pricing of fixed income assets such as swaps, bonds, and mortgage-backed securities. Understanding the yield curve and its utility for the markets can aid in comprehending this parameter’s broader implications for the economy as a whole.

Related posts on the SimTrade blog

Hedge funds

   ▶ Youssef LOURAOUI Introduction to Hedge Funds

   ▶ Youssef LOURAOUI Equity market neutral strategy

   ▶ Youssef LOURAOUI Fixed income arbitrage strategy

   ▶ Youssef LOURAOUI Global macro strategy

Financial techniques

   ▶ Bijal GANDHI Interest Rates

   ▶ Akshit GUPTA Interest Rate Swaps

Other

   ▶ Youssef LOURAOUI My experience as a portfolio manager in a central bank

Useful resources

Academic research

Lorenčič, E., 2016. Testing the Performance of Cubic Splines and Nelson-Siegel Model for Estimating the Zero-coupon Yield Curve. NGOE, 62(2), 42-50.

Wahlstrøm, Paraschiv, and Schürle, 2022. A Comparative Analysis of Parsimonious Yield Curve Models with Focus on the Nelson-Siegel, Svensson and Bliss Versions. Springer Link, Computational Economics, 59, 967–1004.

Business Analysis

BNP Paribas (2019) Peripheral Debt Offers Selective Opportunities

About the author

The article was written in January 2023 by Youssef LOURAOUI (Bayes Business School,, MSc. Energy, Trade & Finance, 2021-2022).

My experience as a credit analyst at Amundi Asset Management

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My experience as a credit analyst at Amundi Asset Management

Jayati WALIA

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.

Related posts on the SimTrade blog

   ▶ All posts about Professional experiences

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   ▶ Louis DETALLE My professional experience as a Credit Analyst at Société Générale.

   ▶ Jayati WALIA Credit risk

   ▶ Jayati WALIA Fixed-income products

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).

Fixed-income products

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Fixed-income products

Jayati WALIA

In this article, Jayati WALIA (ESSEC Business School, Grande Ecole – Master in Management, 2019-2022) presents fixed-income products.

Introduction

Fixed-income products are a type of debt securities that provides predetermined returns to investors in terms of a principle amount at maturity and/or interest payments paid periodically up to and including the maturity date (also known as coupon payments). For investors, fixed-income securities pay out a fixed set of cashflows that are known in advance and are hence preferred by conservative investors with low-risk appetite or those looking to diversify their portfolio and limit risk exposure. For companies and governments issuing these securities, it is a mechanism to raise capital to fund operations and projects.

The most elementary type of fixed-income instrument is the coupon-bearing bond. The values of different bonds depend on the coupon size, maturity date and market view of future interest rate behaviours (or essentially bond market yields). For eg., prices of bonds with longer maturity fluctuate more by interest rate changes. Bonds are generally traded OTC unlike equity stocks that are traded via exchanges. The risk exposure of a bond can be gauged by their Credit Rating issued by rating agencies (S&P, Moody’s, Fitch). The least risky bonds have a rating of AAA which indicates a high measure of credit worthiness and minimum degree of default.

Fixed-income products can come in many forms as well which include single securities like treasury bills, government bonds, certificate of deposits, commercial papers and corporate bonds, and also mutual funds and structured products such as asset back securities.

Types of fixed-income products

Fixed-income products come in several structures catering to the needs of investors and issuers. The most common types are explored below in detail:

Treasury bills

Treasury bills (also called “T-bills”) are money market instruments that are issued by governments with a short maturity ranging from one month to one year. These bills are used to fund short-term financing needs of governments and are backed by the Treasury Department. They are issued at discounted value and redeemed at par value. The difference between the issuance and redemption price is the net gain or income for the investor. The T-Bills are generally issued in denomination of $1,000 per bill. For example, if you buy a T-bill issued by the US Department of Treasury with a maturity of 52 weeks at $990, you will redeem your T-bill at a price of $1,000 upon maturity.

Treasury notes and bonds

Treasury notes and bonds are a type of fixed-income security issued by governments with a medium or long maturity beyond one year. These bonds are used to fund permanent financial needs of governments and are backed by the Treasury Department. They come with predetermined interest payments. They are considered to be the safest investment since they are backed by the government. As a consequence, government bonds come with low returns. Government bonds are usually traded over the counter (OTC) markets. Technically, government bonds come in various forms: zero-coupon bonds, fixed payment and inflation protected securities.

Corporate bonds

Corporate bonds, as the name suggests, are issued by corporations to finance their investments. They generally come with higher yields as compared to the government bonds as they are perceived as more risky investments. The expected return for such bonds generally depends on the company’s financial situation reflected in its credit rating. Corporations can issue different types of bonds which includes zero-coupon bonds, floating-rate bonds, convertible bonds, perpetual bonds, and subordinated bonds.

Asset-backed securities

Asset-backed securities (ABS) is a kind of fixed-income product that comprises of multiple debt pools packaged together as a single security (also known as ‘securitization’) and sold to investors. The assets that can be securitized include home loans (mortgages), auto loans, student loans, credit card receivables among others. Thus the interest and principal payments made by consumers of the individual debts are passed on to the investors as the yield earned on the ABS.

Benefits of fixed-income products

For issuers

Generally, fixed-income products are issued by governments and corporations to raise capital for their operation.

For firms, the issuance of bonds in financial markets along with bank credit (two types of debt) allows firms to use leverage. Interests can also be deduced from income such that the firm will pay less taxes.

For investors

The investment in fixed-income products is considered to be a conservative strategy as it presents low returns (compared to stocks) but also provides a relatively low-risk exposure. Other benefits include:

  • Capital protection: Fixed income products carry less risk as compared to other asset classes such as stocks. These investments ensure capital preservation till the maturity of the investment and are preferred by investors who are risk averse and look for stable returns.
  • Generation of predetermined income: The income from fixed-income products is generated by means of interest or coupon payments. The income level for such products is predetermined at the time of investment and is paid on a regular basis (usually semi-annually or annually). Also, investors benefit from income tax exemption on investment in many fixed-income products.
  • Seniority rights: The holders of corporate bonds get seniority rights in terms of repayment of their capital if the company goes into bankruptcy.
  • Diversification: The fixed-income markets are less sensitive to market risk compared to the equity markets. So, the fixed-income products are considered to be less risky than the equity market investments and generally provides a fixed or stable stream of income. To manage the risk exposure for any portfolio, investors prefer investing in fixed income products to diversify their investments and offset any losses which may result from the equity markets.

Risks associated with fixed-income products

While fixed-income securities are considered to provide relatively low risk exposure, volatility in the bond market may still prove tricky. Bond value and interest rates have an inverse relationship and increase in interest rates thus affects the bond value negatively. Due to the fixed coupon rate and interest payments, fixed-income securities are highly sensitive to inflation rates as cashflows may lose value. There is also credit risk including potential default by the issuer. If an investor buys international bonds, she/he is always exposed to exchange risk due to the ever-fluctuating FX rates.

Thus it is essential for investors to take into account these factors and purchase fixed-income securities according to their individual requirements and risk appetite.

Useful resources

Amodeo K. (10/05/20201) Fixed Income Explanation, Types, and Impact on Economy The Balance.

Blackrock Education: What is fixed income investing?

Corporate Fiannce Institute: Fixed-income securities

Related posts

About the author

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