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Prospect Theory and Stock Returns During Bubbles

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  • Piehler, Maximilian

Abstract

I test the hypothesis that investors evaluate stocks based on the prospect theory value of the distribution of past returns. Because some investors tilt towards stocks with high prospect theory value, these stocks become overvalued and earn low subsequent returns. During bubbles this effect should be stronger, due to rising limits to arbitrage and increased participation of individual investors. I do not find strong support for this prediction in the cross section of returns in U.S. stock markets. In contrast to other variables know to explain returns however, prospect theory value does not lose its predictive power during bubbles. Investors with prospect theory preferences seem to choose stocks whose returns optimally combine low standard deviation with high skewness.

Suggested Citation

  • Piehler, Maximilian, 2020. "Prospect Theory and Stock Returns During Bubbles," Junior Management Science (JUMS), Junior Management Science e. V., vol. 5(3), pages 262-294.
  • Handle: RePEc:zbw:jumsac:294932
    DOI: 10.5282/jums/v5i3pp262-294
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    References listed on IDEAS

    as
    1. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    2. Kenneth D. West, 1987. "A Specification Test for Speculative Bubbles," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(3), pages 553-580.
    3. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2014. "Specification Sensitivity in Right-Tailed Unit Root Testing for Explosive Behaviour," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 315-333, June.
    4. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    5. Garber, Peter M, 1990. "Famous First Bubbles," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 35-54, Spring.
    6. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    7. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 73-92.
    8. Adrian Bruhin & Helga Fehr-Duda & Thomas Epper, 2010. "Risk and Rationality: Uncovering Heterogeneity in Probability Distortion," Econometrica, Econometric Society, vol. 78(4), pages 1375-1412, July.
    9. Duffie, Darrell & Garleanu, Nicolae & Pedersen, Lasse Heje, 2002. "Securities lending, shorting, and pricing," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 307-339.
    10. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    11. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    12. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    13. Markus Glaser & Zwetelina Iliewa & Martin Weber, 2019. "Thinking about Prices versus Thinking about Returns in Financial Markets," Journal of Finance, American Finance Association, vol. 74(6), pages 2997-3039, December.
    14. Bruce N. Lehmann, 1990. "Fads, Martingales, and Market Efficiency," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 1-28.
    15. Asquith, Paul & Pathak, Parag A. & Ritter, Jay R., 2005. "Short interest, institutional ownership, and stock returns," Journal of Financial Economics, Elsevier, vol. 78(2), pages 243-276, November.
    16. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    17. Marsh, Terry A & Merton, Robert C, 1986. "Dividend Variability and Variance Bounds Tests for the Rationality ofStock Market Prices," American Economic Review, American Economic Association, vol. 76(3), pages 483-498, June.
    18. Gromb, Denis & Vayanos, Dimitri, 2002. "Equilibrium and welfare in markets with financially constrained arbitrageurs," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 361-407.
    19. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    20. Eli Ofek & Matthew Richardson, 2002. "The Valuation and Market Rationality of Internet Stock Prices," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 18(3), pages 265-287.
    21. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2002. "Breadth of ownership and stock returns," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 171-205.
    22. Keller, Kevin Lane & Staelin, Richard, 1987. "Effects of Quality and Quantity of Information on Decision Effectiveness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(2), pages 200-213, September.
    23. Nolte, Sven & Schneider, Judith C., 2018. "How price path characteristics shape investment behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 33-59.
    24. David Hirshleifer & Siew Hong Teoh & Jeff Jiewei Yu, 2011. "Short Arbitrage, Return Asymmetry, and the Accrual Anomaly," The Review of Financial Studies, Society for Financial Studies, vol. 24(7), pages 2429-2461.
    25. Nicholas Barberis & Ming Huang, 2008. "Stocks as Lotteries: The Implications of Probability Weighting for Security Prices," American Economic Review, American Economic Association, vol. 98(5), pages 2066-2100, December.
    26. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    27. Alok Kumar & Sonya Seongyeon Lim, 2008. "How Do Decision Frames Influence the Stock Investment Choices of Individual Investors?," Management Science, INFORMS, vol. 54(6), pages 1052-1064, June.
    28. White, Eugene N, 1990. "The Stock Market Boom and Crash of 1929 Revisited," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 67-83, Spring.
    29. Alexander, Gordon J. & Jones, Jonathan D. & Nigro, Peter J., 1998. "Mutual fund shareholders: characteristics, investor knowledge, and sources of information," Financial Services Review, Elsevier, vol. 7(4), pages 301-316.
    30. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
    31. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    32. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    33. Hu, Yang & Oxley, Les, 2017. "Are there bubbles in exchange rates? Some new evidence from G10 and emerging market economies," Economic Modelling, Elsevier, vol. 64(C), pages 419-442.
    34. John M. Griffin & Jeffrey H. Harris & Tao Shu & Selim Topaloglu, 2011. "Who Drove and Burst the Tech Bubble?," Journal of Finance, American Finance Association, vol. 66(4), pages 1251-1290, August.
    35. repec:bla:ecnote:v:33:y:2004:i:1:p:3-22 is not listed on IDEAS
    36. Peter C. B. Phillips & Shu-Ping Shi & Jun Yu, 2011. "Specification Sensitivity in Right-Tailed Unit Root Testing for Explosive Behavior," Working Papers 15-2011, Singapore Management University, School of Economics.
    37. Nicholas Barberis & Abhiroop Mukherjee & Baolian Wang, 2016. "Prospect Theory and Stock Returns: An Empirical Test," The Review of Financial Studies, Society for Financial Studies, vol. 29(11), pages 3068-3107.
    38. Evans, George W, 1991. "Pitfalls in Testing for Explosive Bubbles in Asset Prices," American Economic Review, American Economic Association, vol. 81(4), pages 922-930, September.
    39. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    40. Menkhoff, Lukas & Schmeling, Maik, 2006. "A prospect-theoretical interpretation of momentum returns," Economics Letters, Elsevier, vol. 93(3), pages 360-366, December.
    41. Kim, Jae-Young, 2000. "Detection of change in persistence of a linear time series," Journal of Econometrics, Elsevier, vol. 95(1), pages 97-116, March.
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