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Answer: expected return of a security.
## Explanation Return-generating models are specifically designed to estimate the **expected return of a security**. These models help investors understand what return they can anticipate from a particular security based on various factors. ### Key Points: 1. **Purpose of Return-Generating Models**: These models (such as the Capital Asset Pricing Model - CAPM, Arbitrage Pricing Theory - APT, and multi-factor models) are used to estimate the expected return of individual securities or portfolios. 2. **How They Work**: Return-generating models typically relate a security's expected return to: - Risk-free rate - Market risk premium (for CAPM) - Multiple risk factors (for APT and multi-factor models) - Security-specific characteristics (like beta in CAPM) 3. **Why Not the Other Options**: - **Option B**: The expected return of the market portfolio is typically estimated using historical market returns or forward-looking estimates, not specifically through return-generating models. - **Option C**: The expected excess return on the market portfolio (market risk premium) is usually derived from historical data or surveys, not the primary output of return-generating models. 4. **Example**: In the CAPM formula: E(Ri) = Rf + βi × [E(Rm) - Rf], the model estimates E(Ri) - the expected return of security i. Therefore, return-generating models are best used to estimate the expected return of a security, making **Option A** the correct answer.
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