IDEAS home Printed from https://ideas.repec.org/a/eee/soceco/v37y2008i4p1397-1411.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/B6W5H-4PHJTP9-4/1/0773bea4053bdf1126991bfbc0c8d3f7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. Yaari, Menahem E, 1987. "The Dual Theory of Choice under Risk," Econometrica, Econometric Society, vol. 55(1), pages 95-115, January.
    4. 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.
    5. 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.
    6. 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..
    7. George Wu & Richard Gonzalez, 1996. "Curvature of the Probability Weighting Function," Management Science, INFORMS, vol. 42(12), pages 1676-1690, December.
    8. 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.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. 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.
    11. Saunders, Edward M, Jr, 1993. "Stock Prices and Wall Street Weather," American Economic Review, American Economic Association, vol. 83(5), pages 1337-1345, December.
    12. Rubinstein, Mark, 1994. "Implied Binomial Trees," Journal of Finance, American Finance Association, vol. 49(3), pages 771-818, July.
    13. George Loewenstein, 2000. "Emotions in Economic Theory and Economic Behavior," American Economic Review, American Economic Association, vol. 90(2), pages 426-432, May.
    14. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    15. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    16. 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.
    17. Mark Rubinstein., 1994. "Implied Binomial Trees," Research Program in Finance Working Papers RPF-232, University of California at Berkeley.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kliger, Doron & Levy, Ori, 2009. "Theories of choice under risk: Insights from financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 330-346, August.
    2. Kliger, Doron & Levy, Ori, 2010. "Overconfident investors and probability misjudgments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 39(1), pages 24-29, January.
    3. Kliger, Doron & Levy, Ori, 2008. "Projection bias by investors: A market approach," Journal of Economic Behavior & Organization, Elsevier, vol. 66(3-4), pages 657-668, June.
    4. Kliger, Doron & Levy, Ori, 2003. "Mood-induced variation in risk preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 52(4), pages 573-584, December.
    5. Stracca, Livio, 2004. "Behavioral finance and asset prices: Where do we stand?," Journal of Economic Psychology, Elsevier, vol. 25(3), pages 373-405, June.
    6. Polkovnichenko, Valery & Zhao, Feng, 2013. "Probability weighting functions implied in options prices," Journal of Financial Economics, Elsevier, vol. 107(3), pages 580-609.
    7. Phillips Peter J. & Pohl Gabriela, 2018. "The Deferral of Attacks: SP/A Theory as a Model of Terrorist Choice when Losses Are Inevitable," Open Economics, De Gruyter, vol. 1(1), pages 71-85, February.
    8. Lovric, M. & Kaymak, U. & Spronk, J., 2008. "A Conceptual Model of Investor Behavior," ERIM Report Series Research in Management ERS-2008-030-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Simone Cerreia‐Vioglio & David Dillenberger & Pietro Ortoleva, 2015. "Cautious Expected Utility and the Certainty Effect," Econometrica, Econometric Society, vol. 83, pages 693-728, March.
    10. Kerim Keskin, 2016. "Inverse S-shaped probability weighting functions in first-price sealed-bid auctions," Review of Economic Design, Springer;Society for Economic Design, vol. 20(1), pages 57-67, March.
    11. 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, revised 2017.
    12. Kaplanski, Guy & Levy, Haim, 2010. "Exploitable Predictable Irrationality: The FIFA World Cup Effect on the U.S. Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(2), pages 535-553, April.
    13. Christoffersen, Peter & Jacobs, Kris & Chang, Bo Young, 2013. "Forecasting with Option-Implied Information," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 581-656, Elsevier.
    14. Wolfgang Karl Härdle & Yarema Okhrin & Weining Wang, 2015. "Uniform Confidence Bands for Pricing Kernels," Journal of Financial Econometrics, Oxford University Press, vol. 13(2), pages 376-413.
    15. Gul, Faruk & Pesendorfer, Wolfgang, 2015. "Hurwicz expected utility and subjective sources," Journal of Economic Theory, Elsevier, vol. 159(PA), pages 465-488.
    16. Galarza, Francisco, 2009. "Choices under Risk in Rural Peru," MPRA Paper 17708, University Library of Munich, Germany.
    17. Detlefsen, Kai & Härdle, Wolfgang Karl & Moro, Rouslan A., 2007. "Empirical pricing kernels and investor preferences," SFB 649 Discussion Papers 2007-017, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    18. 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, revised 2019.
    19. 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.
    20. Li, Minqiang, 2008. "Price Deviations of S&P 500 Index Options from the Black-Scholes Formula Follow a Simple Pattern," MPRA Paper 11530, University Library of Munich, Germany.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceco:v:37:y:2008:i:4:p:1397-1411. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620175 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.