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Decision-making under uncertainty - A field study of cumulative prospect theory

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  • Gurevich, Gregory
  • Kliger, Doron
  • Levy, Ori

Abstract

The presented research tests cumulative prospect theory (CPT, [Kahneman, D., Tversky, A., 1979. Prospect theory: An analysis of decision under risk. Econometrica 47, 263-291; Tversky, A., Kahneman, D., 1981. The framing of decisions and the psychology of choice. Science 211, 453-480]) in the financial market, using US stock option data. Option prices possess information about actual investors' preferences in such a way that an exploitation of conventional option analysis, along with theoretical relationships, makes it possible to elicit investor preferences. The option data in this study serve for estimating the two essential elements of the CPT, namely, the value function and the probability weighting function. The main part of the work focuses on the functions' simultaneous estimation under CPT original parametric specification. The shape of the estimated functions is found to be in line with theory. Comparing to results of laboratory experiments, the estimated functions are closer to linearity and loss aversion is less pronounced.

Suggested Citation

  • Gurevich, Gregory & Kliger, Doron & Levy, Ori, 2009. "Decision-making under uncertainty - A field study of cumulative prospect theory," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1221-1229, July.
  • Handle: RePEc:eee:jbfina:v:33:y:2009:i:7:p:1221-1229
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    References listed on IDEAS

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    Cited by:

    1. Fortin, Ines & Hlouskova, Jaroslava, 2011. "Optimal asset allocation under linear loss aversion," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2974-2990, November.
    2. Luis A.G. Coelho, 2014. "Portfolio Selection Optimization under Cumulative Prospect Theory – a parameter sensibility analysis," CEFAGE-UE Working Papers 2014_06, University of Evora, CEFAGE-UE (Portugal).
    3. Hwang, Soosung & Satchell, Steve E., 2010. "How loss averse are investors in financial markets?," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2425-2438, October.
    4. Krčál, Ondřej & Kvasnička, Michal & Staněk, Rostislav, 2016. "External validity of prospect theory: The evidence from soccer betting," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 121-127.
    5. Dichtl, Hubert & Drobetz, Wolfgang, 2011. "Portfolio insurance and prospect theory investors: Popularity and optimal design of capital protected financial products," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1683-1697, July.
    6. Arisoy, Yakup Eser, 2010. "Volatility risk and the value premium: Evidence from the French stock market," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 975-983, May.
    7. Daniel Cavagnaro & Mark Pitt & Richard Gonzalez & Jay Myung, 2013. "Discriminating among probability weighting functions using adaptive design optimization," Journal of Risk and Uncertainty, Springer, vol. 47(3), pages 255-289, December.
    8. Mohammed Abdellaoui & Han Bleichrodt & Hilda Kammoun, 2013. "Do financial professionals behave according to prospect theory? An experimental study," Theory and Decision, Springer, vol. 74(3), pages 411-429, March.

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