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The Capital Asset Pricing Model in the 21st Century

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  • Levy,Haim

Abstract

The Capital Asset Pricing Model (CAPM) and the mean-variance (M-V) rule, which are based on classic expected utility theory, have been heavily criticized theoretically and empirically. The advent of behavioral economics, prospect theory and other psychology-minded approaches in finance challenges the rational investor model from which CAPM and M-V derive. Haim Levy argues that the tension between the classic financial models and behavioral economics approaches is more apparent than real. This book aims to relax the tension between the two paradigms. Specifically, Professor Levy shows that although behavioral economics contradicts aspects of expected utility theory, CAPM and M-V are intact in both expected utility theory and cumulative prospect theory frameworks. There is furthermore no evidence to reject CAPM empirically when ex-ante parameters are employed. Professionals may thus comfortably teach and use CAPM and behavioral economics or cumulative prospect theory as coexisting paradigms.

Suggested Citation

  • Levy,Haim, 2012. "The Capital Asset Pricing Model in the 21st Century," Cambridge Books, Cambridge University Press, number 9781107006713, January.
    • Handle: RePEc:cup:cbooks:9781107006713
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    Citations

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    Cited by:

    1. Guerard, John, 2023. "Harry Markowitz: An appreciation," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1496-1501.
    2. David Johnstone, 2020. "Fama's Ratio and the Effect of Operating Leverage on the Cost of Capital Under CAPM," Abacus, Accounting Foundation, University of Sydney, vol. 56(2), pages 268-287, June.
    3. Jieshuang He, 2016. "Endogenous Bank Networks and Contagion," CAEPR Working Papers 2016-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    4. David Johnstone, 2017. "Sensitivity of the Discount Rate to the Expected Payoff in Project Valuation," Decision Analysis, INFORMS, vol. 14(2), pages 126-136, June.
    5. Ming Chen, James, 2018. "Baryonic Beta Dynamics: An Econophysical Model of Systematic Risk/Dinámica de la Beta Bariónica: Un modelo Econofísico de Riesgo Sistemático," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 36, pages 263-276, Enero.
    6. Manuel Galea & Patricia Giménez, 2019. "Local influence diagnostics for the test of mean–variance efficiency and systematic risks in the capital asset pricing model," Statistical Papers, Springer, vol. 60(1), pages 293-312, February.
    7. Johnstone, David & Havyatt, David, 2022. "Sophistry and high electricity prices in Australia," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 88(C).
    8. Maria-Teresa Bosch-Badia & Joan Montllor-Serrats & Maria-Antonia Tarrazon-Rodon, 2017. "Analysing assets’ performance inside a portfolio: From crossed beta to the net risk premium ratio," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1270251-127, January.
    9. David Johnstone & Dennis Lindley, 2013. "Mean-Variance and Expected Utility: The Borch Paradox," Papers 1306.2728, arXiv.org.
    10. John B. Guerard, 2024. "Sir David Hendry: An Appreciation from Wall Street and What Macroeconomics Got Right," Working Papers 2024-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Feb 2024.
    11. Maria-Teresa Bosch-Badia & Joan Montllor-Serrats & Maria-Antonia Tarrazon-Rodon, 2017. "Analysing the information embedded in the optimal mean–variance weights: CAPM versus Bamberg and Dorfleitner model," Review of Managerial Science, Springer, vol. 11(4), pages 789-814, October.
    12. John B. Guerard & Ganlin Xu & Harry Markowitz, 2021. "A further analysis of robust regression modeling and data mining corrections testing in global stocks," Annals of Operations Research, Springer, vol. 303(1), pages 175-195, August.
    13. Thorsten Hens & János Mayer, 2018. "Decision Theory Matters for Financial Advice," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 195-226, June.
    14. Shushi, Tomer, 2018. "Stein’s lemma for truncated elliptical random vectors," Statistics & Probability Letters, Elsevier, vol. 137(C), pages 297-303.
    15. Levy, Moshe & Levy, Haim, 2015. "Keeping up with the Joneses and optimal diversification," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 29-38.
    16. Manuel Galea & David Cademartori & Roberto Curci & Alonso Molina, 2020. "Robust Inference in the Capital Asset Pricing Model Using the Multivariate t -distribution," JRFM, MDPI, vol. 13(6), pages 1-22, June.

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