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A Capital Asset Pricing Model with Idiosyncratic Risk and the Sources of the Beta Anomaly

Author

Listed:
  • Mark A. Schneider

    (Culverhouse College of Business, University of Alabama and Economic Science Institute, Chapman University)

  • Manuel A. Nunez

    (School of Business, University of Connecticut)

Abstract

We introduce a generalization of the classical capital asset pricing model in which market uncertainty, market sentiment, and forms of idiosyncratic volatility and idiosyncratic skewness are priced in equilibrium. We derive two versions of the model, one based on a representative agent who cares about three criteria (risk, robustness, and expected returns), and the other with a microfoundation based on three types of investors (speculators, hedgers, and arbitrageurs). We apply the resulting capital asset pricing model with idiosyncratic risk (IR-CAPM) to provide a new theoretical account of the beta anomaly, one of the most fundamental and widely studied empirical limitations of the CAPM. We show that the IR-CAPM explains the main conditional relationships involving the beta anomaly in the literature including the time variation of the beta anomaly across optimistic and pessimistic periods and across high and low uncertainty periods, the relationship between the beta anomaly and the correlation between a stock’s beta and its idiosyncratic volatility, and the concentration of the beta anomaly among stocks with high idiosyncratic maximum returns.

Suggested Citation

  • Mark A. Schneider & Manuel A. Nunez, 2020. "A Capital Asset Pricing Model with Idiosyncratic Risk and the Sources of the Beta Anomaly," Working Papers 20-06, Chapman University, Economic Science Institute.
  • Handle: RePEc:chu:wpaper:20-06
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    File URL: https://digitalcommons.chapman.edu/esi_working_papers/300/
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    More about this item

    Keywords

    beta anomaly; idiosyncratic skewness; market sentiment; market uncertainty;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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