Explanation
Return-generating models are specifically designed to estimate the expected return of a security. These models, such as the Capital Asset Pricing Model (CAPM), Arbitrage Pricing Theory (APT), and multifactor models, help investors determine what return they should expect from a particular security given its risk characteristics.
Key Points:
- Purpose of Return-Generating Models: These models establish a relationship between a security's expected return and various risk factors (market risk, size, value, momentum, etc.).
- Option A is correct: The primary objective is to estimate the expected return of individual securities or portfolios.
- Why Option B is incorrect: While these models may use the market portfolio as a benchmark or factor, they don't directly estimate the market portfolio's return. The market portfolio's expected return is typically estimated separately.
- Why Option C is incorrect: The expected excess return on the market portfolio (market risk premium) is an input to models like CAPM, not the output being estimated.
Example:
In CAPM: Expected Return = Risk-Free Rate + Beta × (Expected Market Return - Risk-Free Rate)
- Here, the model estimates the security's expected return using beta and the market risk premium.
- The market risk premium (expected excess return on the market) is an input parameter, not what the model estimates.
Therefore, return-generating models are best used to estimate the expected return of a security.
