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The Risk-Return Relationship and Stock Prices

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  • Bachrach, Benjamin
  • Galai, Dan

Abstract

According to the current state of knowledge in finance, the expected rate of return adjusted for risk is independent of the stock price. The basic proposition of the capital asset pricing model (CAPM) is that the expected rate of return for each security is a function of the “risk” of that security, and that this risk is measured by the contribution of the security to the variability of the market portfolio. The implication of the CAPM is that knowing the price of a security perse will add nothing to predicting its expected rate of return.

Suggested Citation

  • Bachrach, Benjamin & Galai, Dan, 1979. "The Risk-Return Relationship and Stock Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 14(2), pages 421-441, June.
    • Handle: RePEc:cup:jfinqa:v:14:y:1979:i:02:p:421-441_00
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    Cited by:

    1. Söhnke M. Bartram & Mark Grinblatt & Yoshio Nozawa, 2020. "Book-to-Market, Mispricing, and the Cross-Section of Corporate Bond Returns," NBER Working Papers 27655, National Bureau of Economic Research, Inc.
    2. Graeme G. Acheson & John D. Turner, 2011. "Investor behaviour in a nascent capital market: Scottish bank shareholders in the nineteenth century," Economic History Review, Economic History Society, vol. 64(1), pages 188-213, February.
    3. Turner, John D., 2014. "Financial history and financial economics," QUCEH Working Paper Series 14-03, Queen's University Belfast, Queen's University Centre for Economic History.
    4. Saban Celik, 2012. "Theoretical and Empirical Review of Asset Pricing Models:A Structural Synthesis," International Journal of Economics and Financial Issues, Econjournals, vol. 2(2), pages 141-178.
    5. Rösch, Christoph G. & Kaserer, Christoph, 2014. "Reprint of: Market liquidity in the financial crisis: The role of liquidity commonality and flight-to-quality," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 152-170.
    6. Adam Zaremba & Rados³aw ¯mudziñski, 2014. "The Low Price Effect On The Polish Market," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 10(1), pages 69-85, June.
    7. William D. Brown, Jr & Ray J. Pfeiffer, Jr, 2008. "Do Investors Under-React to Information in Analysts' Earnings Forecasts?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7-8), pages 889-911.
    8. Fan, Xiaoyun & Wang, Yedong & Wang, Daoping, 2021. "Network connectedness and China's systemic financial risk contagion——An analysis based on big data," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    9. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, December.
    10. Geertsema, Paul & Lu, Helen, 2019. "Revisiting the price effect in US stocks," Finance Research Letters, Elsevier, vol. 30(C), pages 139-144.
    11. Rösch, Christoph G. & Kaserer, Christoph, 2013. "Market liquidity in the financial crisis: The role of liquidity commonality and flight-to-quality," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2284-2302.
    12. Bruno S. Frey & Reiner Eichenberger, 1989. "Should Social Scientists Care about Choice Anomalies?," Rationality and Society, , vol. 1(1), pages 101-122, July.

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