Answer: expected return of a security.

## 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: 1. **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.). 2. **Option A is correct**: The primary objective is to estimate the expected return of individual securities or portfolios. 3. **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. 4. **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.

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