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Mood impacts on probability weighting functions: "Large-gamble" evidence

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  • Kliger, Doron
  • Levy, Ori

Abstract

This paper integrates considerations of mood into non-expected utility theories and extends the existing literature on how mood influences peoples' decisions and choices. An important element in many non-expected utility theories is the probability weighting function (PWF), that nonlinearly weights physical probabilities. Using US market price data, we attempt to establish an empirical relation between investors' mood and these PWFs. To proxy investors' mood, we rely on an established medical phenomenon, seasonal affective disorder, a source of depression caused by the scarcity of daylight time during fall and winter, as well as on a measure of cloudiness. We find statistical evidence indicating that bad mood causes investors to systematically distort their PWFs.

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  • Kliger, Doron & Levy, Ori, 2008. "Mood impacts on probability weighting functions: "Large-gamble" evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(4), pages 1397-1411, August.
    • Handle: RePEc:eee:soceco:v:37:y:2008:i:4:p:1397-1411
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    1. Lisa A. Kramer & Mark J. Kamstra & Maurice D. Levi, 2000. "Losing Sleep at the Market: The Daylight Saving Anomaly," American Economic Review, American Economic Association, vol. 90(4), pages 1005-1011, September.
    2. Yaari, Menahem E, 1987. "The Dual Theory of Choice under Risk," Econometrica, Econometric Society, vol. 55(1), pages 95-115, January.
    3. David Hirshleifer & Tyler Shumway, 2003. "Good Day Sunshine: Stock Returns and the Weather," Journal of Finance, American Finance Association, vol. 58(3), pages 1009-1032, June.
    4. 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.
    5. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    6. Jackwerth, Jens Carsten & Rubinstein, Mark, 1996. "Recovering Probability Distributions from Option Prices," Journal of Finance, American Finance Association, vol. 51(5), pages 1611-1632, December.
    7. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    9. Camerer, Colin F & Ho, Teck-Hua, 1994. "Violations of the Betweenness Axiom and Nonlinearity in Probability," Journal of Risk and Uncertainty, Springer, vol. 8(2), pages 167-196, March.
    10. Breeden, Douglas T & Litzenberger, Robert H, 1978. "Prices of State-contingent Claims Implicit in Option Prices," The Journal of Business, University of Chicago Press, vol. 51(4), pages 621-651, October.
    11. 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..
    12. George Loewenstein, 2000. "Emotions in Economic Theory and Economic Behavior," American Economic Review, American Economic Association, vol. 90(2), pages 426-432, May.
    13. Mark Rubinstein., 1994. "Implied Binomial Trees," Research Program in Finance Working Papers RPF-232, University of California at Berkeley.
    14. Donkers, Bas & Melenberg, Bertrand & Van Soest, Arthur, 2001. "Estimating Risk Attitudes Using Lotteries: A Large Sample Approach," Journal of Risk and Uncertainty, Springer, vol. 22(2), pages 165-195, March.
    15. Jackwerth, Jens Carsten, 2000. "Recovering Risk Aversion from Option Prices and Realized Returns," The Review of Financial Studies, Society for Financial Studies, vol. 13(2), pages 433-451.
    16. Saunders, Edward M, Jr, 1993. "Stock Prices and Wall Street Weather," American Economic Review, American Economic Association, vol. 83(5), pages 1337-1345, December.
    17. Cox, John C. & Ross, Stephen A., 1976. "The valuation of options for alternative stochastic processes," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 145-166.
    18. 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.
    19. George Wu & Richard Gonzalez, 1996. "Curvature of the Probability Weighting Function," Management Science, INFORMS, vol. 42(12), pages 1676-1690, December.
    20. Rubinstein, Mark, 1994. "Implied Binomial Trees," Journal of Finance, American Finance Association, vol. 49(3), pages 771-818, July.
    21. Christensen, B. J. & Prabhala, N. R., 1998. "The relation between implied and realized volatility," Journal of Financial Economics, Elsevier, vol. 50(2), pages 125-150, November.
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    1. Kliger, Doron & Gilad, Dalia, 2012. "Red light, green light: Color priming in financial decisions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(5), pages 738-745.
    2. Guo, Mengmeng & Wei, Mengxin & Huang, Lin, 2022. "Does air pollution influence investor trading behavior? Evidence from China," Emerging Markets Review, Elsevier, vol. 50(C).
    3. Dimitrios Kourtidis & Željko Šević & Prodromos Chatzoglou, 2016. "Mood and stock returns: evidence from Greece," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(2), pages 242-258, May.
    4. Kliger, Doron & Kudryavtsev, Andrey, 2013. "Volatility expectations and the reaction to analyst recommendations," Journal of Economic Psychology, Elsevier, vol. 37(C), pages 1-6.
    5. Freudenreich, Hanna & Musshoff, Oliver & Wiercinski, Ben, 2017. "The Relationship between Farmers' Shock Experiences and their Uncertainty Preferences - Experimental Evidence from Mexico," GlobalFood Discussion Papers 256212, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    6. Svetlana Vlady & Ekrem Tufan & Bahattin Hamarat, 2011. "Causality Of Weather Conditions In Australian Stock Equity Returns," Revista Tinerilor Economisti (The Young Economists Journal), University of Craiova, Faculty of Economics and Business Administration, vol. 1(16), pages 161-175, April.
    7. Lucy F. Ackert & Richard Deaves & Jennifer Miele & Quang Nguyen, 2020. "Are Time Preference and Risk Preference Associated with Cognitive Intelligence and Emotional Intelligence?," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 21(2), pages 136-156, April.
    8. Gelman, Sergey & Kliger, Doron, 2016. "Time-Induced Stress Effect on Financial Decision Making in Real Markets: The Case of Traffic Congestion," VfS Annual Conference 2016 (Augsburg): Demographic Change 145915, Verein für Socialpolitik / German Economic Association.
    9. Qadan, Mahmoud & Kliger, Doron, 2016. "The short trading day anomaly," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 62-80.
    10. Fehr-Duda, Helga & Epper, Thomas & Bruhin, Adrian & Schubert, Renate, 2011. "Risk and rationality: The effects of mood and decision rules on probability weighting," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 14-24, April.
    11. Freudenreich, Hanna & Musshoff, Oliver, 2022. "Experience of losses and aversion to uncertainty - experimental evidence from farmers in Mexico," Ecological Economics, Elsevier, vol. 195(C).
    12. Svetlana Vlady & Ekrem Tufan, PhD, 2011. "Causality Of Weather Conditions In Australian Stock Equity Returns," Revista Tinerilor Economisti (The Young Economists Journal), University of Craiova, Faculty of Economics and Business Administration, vol. 1(17), pages 184-197, November.
    13. Kamstra, Mark J. & Kramer, Lisa A. & Levi, Maurice D., 2012. "A careful re-examination of seasonality in international stock markets: Comment on sentiment and stock returns," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 934-956.
    14. Lepori, Gabriele M., 2016. "Air pollution and stock returns: Evidence from a natural experiment," Journal of Empirical Finance, Elsevier, vol. 35(C), pages 25-42.
    15. Steven D. Dolvin & Stephanie A. Fernhaber, 2014. "Seasonal Affective Disorder and IPO underpricing: implications for young firms," Venture Capital, Taylor & Francis Journals, vol. 16(1), pages 51-68, January.
    16. Kliger, Doron & Raviv, Yaron & Rosett, Joshua & Bayer, Thomas & Page, John, 2015. "Seasonal affective disorder and seasoned art auction prices: New evidence from old masters," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 59(C), pages 74-84.
    17. Emmanuel Jurczenko & Bertrand Maillet & Paul Merlin, 2008. "Efficient Frontier for Robust Higher-order Moment Portfolio Selection," Post-Print halshs-00336475, HAL.
    18. Tihana Škrinjarić & Branka Marasović & Boško Šego, 2021. "Does the Croatian Stock Market Have Seasonal Affective Disorder?," JRFM, MDPI, vol. 14(2), pages 1-16, February.
    19. Tihana Škrinjarić, 2018. "Testing for Seasonal Affective Disorder on Selected CEE and SEE Stock Markets," Risks, MDPI, vol. 6(4), pages 1-26, December.
    20. Kirk, Colleen P. & McSherry, Bernard & Swain, Scott D., 2015. "Investing the self: The effect of nonconscious goals on investor psychological ownership and word-of-mouth intentions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 58(C), pages 186-194.

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