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Market Efficiency versus Behavioral Finance

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  • Burton Malkiel
  • Sendhil Mullainathan
  • Bruce Stangle

Abstract

Two prominent economists—one the author of A Random Walk Down Wall Street and the other a leading scholar in behavioral finance—debate the current validity of the efficient markets hypothesis (EMH). For over 30 years, the idea that capital markets are efficient and that stock prices reflect all publicly available information dominated academic thinking. But the bubble of the late 1990s and recent advances in behavioral finance have forced a re‐thinking. Behavioralists argue that markets are at least “weakly” predictable. They also point to evidence that small investors —typically day traders—consistently lose money as a result of “loss aversion,”“overconfidence,” and other behaviors that are not part of the focus of EMH (though, as Malkiel notes, there is room for irrational investors in an EMH world provided there are enough rational investors to counteract and correct them). Proponents of EMH, of course, argue that neither individual investors nor active fund managers reliably outperform markets, so there is no point paying for active management. Yet these seemingly disparate views lead to important areas of common ground. In particular, both camps agree that individual investors should stick to broad‐based, low‐cost index funds. And retirement accounts—either 401Ks or social security accounts—should have limited investment selections in order to minimize the possibility that behavioral problems lead to investor mismanagement.

Suggested Citation

  • Burton Malkiel & Sendhil Mullainathan & Bruce Stangle, 2005. "Market Efficiency versus Behavioral Finance," Journal of Applied Corporate Finance, Morgan Stanley, vol. 17(3), pages 124-136, June.
  • Handle: RePEc:bla:jacrfn:v:17:y:2005:i:3:p:124-136
    DOI: 10.1111/j.1745-6622.2005.00053.x
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    Cited by:

    1. Al-Shboul, Mohammad & Alsharari, Nizar, 2019. "The dynamic behavior of evolving efficiency: Evidence from the UAE stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 119-135.
    2. repec:dau:papers:123456789/7748 is not listed on IDEAS
    3. Rodriguez, E. & Aguilar-Cornejo, M. & Femat, R. & Alvarez-Ramirez, J., 2014. "US stock market efficiency over weekly, monthly, quarterly and yearly time scales," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 554-564.
    4. Mohammad Joarder & Monir Ahmed & Tahsina Haque & Syed Hasanuzzaman, 2014. "An empirical testing of informational efficiency in Bangladesh capital market," Economic Change and Restructuring, Springer, vol. 47(1), pages 63-87, February.
    5. Narayan, Seema & Smyth, Russell, 2015. "The financial econometrics of price discovery and predictability," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 380-393.
    6. Vinodh Madhavan & Rakesh Arrawatia, 2016. "Relative Efficiency of G8 Sovereign Credit Default Swaps and Bond Scrips: An Adaptive Market Hypothesis Perspective," Studies in Microeconomics, , vol. 4(2), pages 127-150, December.
    7. Kim, Jae H. & Shamsuddin, Abul, 2008. "Are Asian stock markets efficient? Evidence from new multiple variance ratio tests," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 518-532, June.
    8. Alvarez-Ramirez, Jose & Rodriguez, Eduardo & Alvarez, Jesus, 2012. "A multiscale entropy approach for market efficiency," International Review of Financial Analysis, Elsevier, vol. 21(C), pages 64-69.

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