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Expected Returns Using Single Factor and Multifactor Models

We will cover following topics

Introduction

In this chapter, we delve into the methodologies for calculating the expected return of an asset using both single-factor and multifactor models. Understanding these calculations is pivotal for assessing the potential risk and return of investments and making informed financial decisions.


Calculating Expected Return with a Single-Factor Model

A single-factor model simplifies the relationship between an asset’s expected return and its exposure to a single systematic risk factor. The Capital Asset Pricing Model (CAPM) is a classic example of a single-factor model. The formula for calculating expected return using a single-factor model is as follows:

$\text{Expected Return} = \text{Risk-Free Rate} + \text{Beta} \times (\text{Market Return - Risk-Free Rate})$

Where:

  • Risk-Free Rate: The rate of return on a risk-free investment (e.g., government bonds).
  • Beta: The asset’s sensitivity to market fluctuations.
  • Market Return: The expected return of the overall market.

Example: let’s consider an asset with a beta of 1.2, a risk-free rate of 3%, and an expected market return of 8%. The expected return of the asset using the single-factor model would be:

$$\text{Expected Return} = 3\% + 1.2 × (8\% - 3\%) = 9\%$$


Calculating Expected Return with a Multifactor Model

Multifactor models capture the influence of multiple risk factors on an asset’s expected return. They offer a more nuanced approach to risk assessment and return estimation. The formula for calculating expected return using a multifactor model is:

$\text{Expected Return = } \text{Risk-Free Rate} + (\text{Factor 1 Beta} \times \text{Factor 1 Risk Premium})$ + $(\text{Factor 2 Beta} \times \text{Factor 2 Risk Premium})$ + \ldots + $(\text{Factor n Beta} \times \text{Factor n Risk Premium})$

Here, each factor beta represents the asset’s sensitivity to a specific risk factor, and the corresponding factor risk premium quantifies the compensation for that risk.

Example: Consider an asset exposed to two risk factors: market return and interest rate changes. If the asset has factor betas of 1.5 for the market and 0.8 for interest rates, and the risk premiums for these factors are 6% and 2%, respectively, the expected return using the multifactor model would be:

$$\text{Expected Return = } 3\% + (1.5 × 6\%) + (0.8 × 2\%) = 12\%$$


Conclusion

Calculating the expected return of an asset using both single-factor and multifactor models empowers investors and financial analysts to gauge the potential rewards for a given level of risk. While the single-factor model provides a basic estimation, multifactor models offer a more comprehensive view by considering multiple sources of risk. These calculations serve as valuable tools for making informed investment decisions in the dynamic landscape of financial markets.


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