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The Data of Levy and Levy (2002) ÜProspect Theory: Much Ado About Nothing?Ý Actually Support Prospect Theory

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  • Peter P. Wakker

    () (Department of Economics, University of Amsterdam, Roet\dot{e}rsstraat II, Amsterdam 1018 WB, The Netherlands)

Abstract

Levy and Levy (Management Science2002) present data that, according to their claims, violate prospect theory. They suggest that prospect theory's hypothesis of an S-shaped value function, concave for gains and convex for losses, is incorrect. However, all the data of Levy and Levy are perfectly consistent with the predictions of prospect theory, as can be verified by simply applying prospect theory formulas. The mistake of Levy and Levy is that they, incorrectly, thought that probability weighting could be ignored.

Suggested Citation

  • Peter P. Wakker, 2003. "The Data of Levy and Levy (2002) ÜProspect Theory: Much Ado About Nothing?Ý Actually Support Prospect Theory," Management Science, INFORMS, vol. 49(7), pages 979-981, July.
  • Handle: RePEc:inm:ormnsc:v:49:y:2003:i:7:p:979-981
    DOI: 10.1287/mnsc.49.7.979.16383
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    File URL: http://dx.doi.org/10.1287/mnsc.49.7.979.16383
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    References listed on IDEAS

    as
    1. Harry Markowitz, 1952. "The Utility of Wealth," Journal of Political Economy, University of Chicago Press, vol. 60, pages 151-151.
    2. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    3. Chris Starmer, 2000. "Developments in Non-expected Utility Theory: The Hunt for a Descriptive Theory of Choice under Risk," Journal of Economic Literature, American Economic Association, vol. 38(2), pages 332-382, June.
    4. Moshe Levy & Haim Levy, 2002. "Prospect Theory: Much Ado About Nothing?," Management Science, INFORMS, vol. 48(10), pages 1334-1349, October.
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    Cited by:

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    2. Topaloglou, Nikolas & Tsionas, Mike G., 2020. "Stochastic dominance tests," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    3. Peter Brooks & Simon Peters & Horst Zank, 2014. "Risk behavior for gain, loss, and mixed prospects," Theory and Decision, Springer, vol. 77(2), pages 153-182, August.
    4. Mehrmann, Annika & Sureth-Sloane, Caren, 2017. "Tax loss offset restrictions and biased perception of risky investments," arqus Discussion Papers in Quantitative Tax Research 222, arqus - Arbeitskreis Quantitative Steuerlehre.
    5. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE.
    6. Michael H. Birnbaum & Jeffrey P. Bahra, 2007. "Gain-Loss Separability and Coalescing in Risky Decision Making," Management Science, INFORMS, vol. 53(6), pages 1016-1028, June.
    7. Baucells, Manel & Heukamp, Franz H., 2004. "Reevaluation of the results of Levy and Levy (2002a)," Organizational Behavior and Human Decision Processes, Elsevier, vol. 94(1), pages 15-21, May.
    8. Michael H. Birnbaum, 2005. "Three New Tests of Independence That Differentiate Models of Risky Decision Making," Management Science, INFORMS, vol. 51(9), pages 1346-1358, September.
    9. Cumova, Denisa & Nawrocki, David, 2014. "Portfolio optimization in an upside potential and downside risk framework," Journal of Economics and Business, Elsevier, vol. 71(C), pages 68-89.
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    11. Jakusch, Sven Thorsten & Meyer, Steffen & Hackethal, Andreas, 2019. "Taming models of prospect theory in the wild? Estimation of Vlcek and Hens (2011)," SAFE Working Paper Series 146, Leibniz Institute for Financial Research SAFE.
    12. Fang, Yi, 2012. "Aggregate investor preferences and beliefs in stock market: A stochastic dominance analysis," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 528-547.

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