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The capital asset pricing model: a critical literature review

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  • Matteo Rossi

Abstract

What is the relationship between the risk and expected return of an investment? The capital asset pricing model (CAPM) provides an initial framework for answering this question. The CAPM (Sharpe, 1964; Lintner, 1965) marks the birth of asset pricing theory. This model is based on the idea that not all risk should affect asset prices. The model thus provides insight into the kind of risk that is related to return. Four decades later, the CAPM is still widely used in applications. The CAPM provides a methodology for translating risk into estimates of expected ROE. Its application continues to generate debate: many scholars argued that the CAPM is based on unrealistic assumptions. This paper lays out the key ideas of the CAPM, the history of empirical work on the CAPM and the implications of this work on the shortcomings of the CAPM.

Suggested Citation

  • Matteo Rossi, 2016. "The capital asset pricing model: a critical literature review," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 18(5), pages 604-617.
    • Handle: RePEc:ids:gbusec:v:18:y:2016:i:5:p:604-617
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    Citations

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    Cited by:

    1. Sin-Yu Ho, 2019. "The macroeconomic determinants of stock market development in Malaysia: an empirical analysis," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 21(2), pages 174-193.
    2. Mosab I. Tabash & Mohammad Sahabuddin & Fatima Muhammad Abdulkarim & Basem Hamouri & Dang Khoa Tran, 2023. "Dynamic Dependency between the Shariah and Traditional Stock Markets: Diversification Opportunities during the COVID-19 and Global Financial Crisis (GFC) Periods," Economies, MDPI, vol. 11(5), pages 1-19, May.
    3. Bai, Ye & Green, Christopher J., 2020. "Country and industry factors in tests of Capital Asset Pricing Models for partially integrated emerging markets," Economic Modelling, Elsevier, vol. 92(C), pages 180-194.
    4. I. Marta Miranda García & María‐Jesús Segovia‐Vargas & Usue Mori & José A. Lozano, 2023. "Early prediction of Ibex 35 movements," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1150-1166, August.
    5. Valentina ZOZULYA & Evgeny SOKOLOV & Evgeny KOSTYRIN & Sergey KOROLEV, 2021. "The effectiveness of applying beta-coefficient modifications when calculating returns on shares in Russian companies," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 12, pages 31-52, June.
    6. Naga Pillada & Sangeetha Rangasamy, 2023. "An empirical investigation of investor sentiment and volatility of realty sector market in India: an application of the DCC–GARCH model," SN Business & Economics, Springer, vol. 3(2), pages 1-16, February.
    7. Johann Pfitzinger, 2021. "An Interpretable Neural Network for Parameter Inference," Papers 2106.05536, arXiv.org.
    8. Sarantsev, Andrey, 2021. "Optimal portfolio with power utility of absolute and relative wealth," Statistics & Probability Letters, Elsevier, vol. 179(C).
    9. I-Cheng Yeh & Yi-Cheng Liu, 2023. "Exploring the growth value equity valuation model with data visualization," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-37, December.
    10. Rui Ding, 2023. "f-Betas and Portfolio Optimization with f-Divergence induced Risk Measures," Papers 2302.00452, arXiv.org, revised May 2023.
    11. Nisar, Sabahat & Asif, Rabia & Ali, Amjad, 2021. "Testing the Presence of the January Effect in Developed Economies," MPRA Paper 112548, University Library of Munich, Germany.
    12. Sarika Rakhyani, 2021. "An empirical examination of beta anomaly in India," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(2), pages 191-206, June.
    13. Werner Gleißner & Thomas Günther & Christian Walkshäusl, 2022. "Financial sustainability: measurement and empirical evidence," Journal of Business Economics, Springer, vol. 92(3), pages 467-516, April.
    14. Andrey Sarantsev, 2021. "Optimal Portfolio with Power Utility of Absolute and Relative Wealth," Papers 2105.08139, arXiv.org, revised Jul 2021.

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