Insights into Trader Behavior: Risk Aversion and Probability Weighting
The objective of this study is to investigate how professional traders in futures and options markets behave under risk and uncertainty. Our preliminary findings suggest that most traders exhibit concave utility functions for gains and convex utility functions for losses, while their weighting functions are inverse s-shaped. However, differences in magnitude of the risk aversion parameters and the degree of probability weighting can lead to distinct behavior even if the shapes of utility and weighting functions are the same. Further, the typical pattern of prospect theory is more prevalent under risk but not as much under uncertainty. More combinations of shapes for utility and weighting functions are found under uncertainty, suggesting that different types of behavior emerge when people need to make their own assessments about the likelihood of events. Finally, our results are consistent with evidence of loss aversion and disposition effect found in studies of trading behavior in futures markets.
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- Michael Haigh & John List, 2005.
"Do professional traders exhibit myopic loss aversion? An experimental analysis,"
Artefactual Field Experiments
00052, The Field Experiments Website.
- Michael S. Haigh & John A. List, 2005. "Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis," Journal of Finance, American Finance Association, vol. 60(1), pages 523-534, 02.
- Haigh, Michael S. & List, John A., 2002. "Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis," Working Papers 28554, University of Maryland, Department of Agricultural and Resource Economics.
- Glenn Harrison & John List, 2004.
Artefactual Field Experiments
00058, The Field Experiments Website.
- Langer, Thomas & Weber, Martin, 2005. "Myopic prospect theory vs. myopic loss aversion: how general is the phenomenon?," Journal of Economic Behavior & Organization, Elsevier, vol. 56(1), pages 25-38, January.
- David Hirshleifer, 2001.
"Investor Psychology and Asset Pricing,"
Journal of Finance,
American Finance Association, vol. 56(4), pages 1533-1597, 08.
- Kahneman, Daniel & Tversky, Amos, 1979.
"Prospect Theory: An Analysis of Decision under Risk,"
Econometric Society, vol. 47(2), pages 263-291, March.
- Amos Tversky & Daniel Kahneman, 1979. "Prospect Theory: An Analysis of Decision under Risk," Levine's Working Paper Archive 7656, David K. Levine.
- Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, Oxford University Press, vol. 110(1), pages 73-92.
- Humphrey, Steven J. & Verschoor, Arjan, 2004. "The probability weighting function: experimental evidence from Uganda, India and Ethiopia," Economics Letters, Elsevier, vol. 84(3), pages 419-425, September.
- John C. Hershey & Howard C. Kunreuther & Paul J. H. Schoemaker, 1982. "Sources of Bias in Assessment Procedures for Utility Functions," Management Science, INFORMS, vol. 28(8), pages 936-954, August.
- Henry Stott, 2006. "Cumulative prospect theory's functional menagerie," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 101-130, March.
- Michael Kilka & Martin Weber, 2001.
"What Determines the Shape of the Probability Weighting Function Under Uncertainty?,"
INFORMS, vol. 47(12), pages 1712-1726, December.
- Kilka, Michael & Weber, Martin, 1998. "What Determines the Shape of the Probability Weighting Function under Uncertainty?," Sonderforschungsbereich 504 Publications 98-11, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
- Arjan B. Berkelaar & Roy Kouwenberg & Thierry Post, 2004.
"Optimal Portfolio Choice under Loss Aversion,"
The Review of Economics and Statistics,
MIT Press, vol. 86(4), pages 973-987, November.
- Abdellaoui, Mohammed & Vossman, Frank & Weber, Martin, 2003.
"Choice-Based Elicitation and Decomposition of Decision Weights for Gains and Losses Under Uncertainty,"
CEPR Discussion Papers
3756, C.E.P.R. Discussion Papers.
- Mohammed Abdellaoui & Frank Vossmann & Martin Weber, 2005. "Choice-Based Elicitation and Decomposition of Decision Weights for Gains and Losses Under Uncertainty," Management Science, INFORMS, vol. 51(9), pages 1384-1399, September.
- Joshua D. Coval & Tyler Shumway, 2005. "Do Behavioral Biases Affect Prices?," Journal of Finance, American Finance Association, vol. 60(1), pages 1-34, 02.
- Locke, Peter R. & Mann, Steven C., 2005. "Professional trader discipline and trade disposition," Journal of Financial Economics, Elsevier, vol. 76(2), pages 401-444, May.
- Schoemaker, Paul J H, 1982. "The Expected Utility Model: Its Variants, Purposes, Evidence and Limitations," Journal of Economic Literature, American Economic Association, vol. 20(2), pages 529-563, June.
- Mohammed Abdellaoui, 2000. "Parameter-Free Elicitation of Utility and Probability Weighting Functions," Management Science, INFORMS, vol. 46(11), pages 1497-1512, November.
- Fox, Craig R & Rogers, Brett A & Tversky, Amos, 1996. "Options Traders Exhibit Subadditive Decision Weights," Journal of Risk and Uncertainty, Springer, vol. 13(1), pages 5-17, July.
- Carmela Di Mauro & Anna Maffioletti, 2004. "Attitudes to risk and attitudes to uncertainty: experimental evidence," Applied Economics, Taylor & Francis Journals, vol. 36(4), pages 357-372.
- 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.
- Donkers, A.C.D. & Melenberg, B. & van Soest, A.H.O., 1999.
"Estimating Risk Attitudes Using Lotteries; A Large Sample Approach,"
1999-12, Tilburg University, Center for Economic Research.
- 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.
- 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.
- Nathalie Etchart-Vincent, 2004. "Is Probability Weighting Sensitive to the Magnitude of Consequences? An Experimental Investigation on Losses," Journal of Risk and Uncertainty, Springer, vol. 28(3), pages 217-235, 05.
- Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
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