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Misunderstanding of the binomial distribution, market inefficiency, and learning behavior: Evidence from an exotic sports betting market

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  • Hwang, Joon Ho
  • Kim, Min-Su

Abstract

This paper uses the setting of a volleyball game and an exotic sports betting on the point difference of volleyball games to test whether people correctly understand the probabilities related to outcomes of a process which follows a binomial distribution. We find that people consistently underestimate the probabilities of outcomes that correspond to extreme ends of the distribution. This is consistent with the extremeness aversion bias documented in decision making studies. Whereas previous studies on the extremeness aversion bias find the existence of the bias in a consumer choice setting, we document that this bias also exists in an investment setting. We find evidence of learning behavior over time; however, it is not sufficient to eliminate the bias.

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  • Hwang, Joon Ho & Kim, Min-Su, 2015. "Misunderstanding of the binomial distribution, market inefficiency, and learning behavior: Evidence from an exotic sports betting market," European Journal of Operational Research, Elsevier, vol. 243(1), pages 333-344.
  • Handle: RePEc:eee:ejores:v:243:y:2015:i:1:p:333-344
    DOI: 10.1016/j.ejor.2014.11.040
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    as
    1. Erik Snowberg & Justin Wolfers, 2010. "Explaining the Favorite-Long Shot Bias: Is it Risk-Love or Misperceptions?," Journal of Political Economy, University of Chicago Press, vol. 118(4), pages 723-746, August.
    2. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
    3. Richard E. Quandt, 1986. "Betting and Equilibrium," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(1), pages 201-207.
    4. Chris Hope, 2003. "When should you sack a football manager? Results from a simple model applied to the English Premiership," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(11), pages 1167-1176, November.
    5. Lawrence M. Kahn, 1993. "Managerial Quality, Team Success, and Individual Player Performance in Major League Baseball," ILR Review, Cornell University, ILR School, vol. 46(3), pages 531-547, April.
    6. Markku Kaustia & Samuli Knüpfer, 2008. "Do Investors Overweight Personal Experience? Evidence from IPO Subscriptions," Journal of Finance, American Finance Association, vol. 63(6), pages 2679-2702, December.
    7. U Benzion & Y Cohen & R Peled & T Shavit, 2008. "Decision-making and the newsvendor problem: an experimental study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1281-1287, September.
    8. AJ A. Bostian & Charles A. Holt & Angela M. Smith, 2008. "Newsvendor "Pull-to-Center" Effect: Adaptive Learning in a Laboratory Experiment," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 590-608, July.
    9. Bruinshoofd, Allard & ter Weel, Bas, 2003. "Manager to go? Performance dips reconsidered with evidence from Dutch football," European Journal of Operational Research, Elsevier, vol. 148(2), pages 233-246, July.
    10. Bruno Jullien & Bernard Salanie, 2000. "Estimating Preferences under Risk: The Case of Racetrack Bettors," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 503-530, June.
    11. Linda M. Woodland & Bill M. Woodland, 2001. "Market Efficiency and Profitable Wagering in the National Hockey League: Can Bettors Score on Longshots?," Southern Economic Journal, John Wiley & Sons, vol. 67(4), pages 983-995, April.
    12. L. C. MacLean & W. T. Ziemba & G. Blazenko, 1992. "Growth Versus Security in Dynamic Investment Analysis," Management Science, INFORMS, vol. 38(11), pages 1562-1585, November.
    13. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    14. Donald B. Hausch & William T. Ziemba & Mark Rubinstein, 1981. "Efficiency of the Market for Racetrack Betting," Management Science, INFORMS, vol. 27(12), pages 1435-1452, December.
    15. Weber, Martin, 1987. "Decision making with incomplete information," European Journal of Operational Research, Elsevier, vol. 28(1), pages 44-57, January.
    16. Schwert, G. William, 2003. "Anomalies and market efficiency," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 15, pages 939-974, Elsevier.
    17. Klaassen, Franc J. G. M. & Magnus, Jan R., 2003. "Forecasting the winner of a tennis match," European Journal of Operational Research, Elsevier, vol. 148(2), pages 257-267, July.
    18. Raymond D. Sauer, 1998. "The Economics of Wagering Markets," Journal of Economic Literature, American Economic Association, vol. 36(4), pages 2021-2064, December.
    19. Harry Markowitz, 1952. "The Utility of Wealth," Journal of Political Economy, University of Chicago Press, vol. 60(2), pages 151-151.
    20. James J. Choi & David Laibson & Brigitte C. Madrian & Andrew Metrick, 2009. "Reinforcement Learning and Savings Behavior," Journal of Finance, American Finance Association, vol. 64(6), pages 2515-2534, December.
    21. Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
    22. David M. Cutler & James M. Poterba & Lawrence H. Summers, 1991. "Speculative Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 529-546.
    23. R Bachan & B Reilly & R Witt, 2008. "The hazard of being an English football league manager: empirical estimates for three recent league seasons," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(7), pages 884-891, July.
    24. Woodland, Linda M & Woodland, Bill M, 1994. "Market Efficiency and the Favorite-Longshot Bias: The Baseball Betting Market," Journal of Finance, American Finance Association, vol. 49(1), pages 269-279, March.
    25. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
    26. Gary E. Bolton & Elena Katok, 2008. "Learning by Doing in the Newsvendor Problem: A Laboratory Investigation of the Role of Experience and Feedback," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 519-538, September.
    27. Robert J. Shiller, 2003. "From Efficient Markets Theory to Behavioral Finance," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
    28. Mirko Kremer & Stefan Minner & Luk N. Van Wassenhove, 2010. "Do Random Errors Explain Newsvendor Behavior?," Manufacturing & Service Operations Management, INFORMS, vol. 12(4), pages 673-681, July.
    29. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    30. 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..
    31. Gary Charness & Dan Levin, 2005. "When Optimal Choices Feel Wrong: A Laboratory Study of Bayesian Updating, Complexity, and Affect," American Economic Review, American Economic Association, vol. 95(4), pages 1300-1309, September.
    32. Mikhail, Michael B. & Walther, Beverly R. & Willis, Richard H., 2003. "The effect of experience on security analyst underreaction," Journal of Accounting and Economics, Elsevier, vol. 35(1), pages 101-116, April.
    33. Busche, Kelly & Hall, Christopher D, 1988. "An Exception to the Risk Preference Anomaly," The Journal of Business, University of Chicago Press, vol. 61(3), pages 337-346, July.
    34. Nils Rudi & David Drake, 2009. "Observation bias: The impact of demand censoring on newsvendor level and adjustment behavior," Harvard Business School Working Papers 12-042, Harvard Business School, revised Dec 2011.
    35. Yao-Min Chiang & David Hirshleifer & Yiming Qian & Ann E. Sherman, 2011. "Do Investors Learn from Experience? Evidence from Frequent IPO Investors," The Review of Financial Studies, Society for Financial Studies, vol. 24(5), pages 1560-1589.
    36. Maurice E. Schweitzer & Gérard P. Cachon, 2000. "Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence," Management Science, INFORMS, vol. 46(3), pages 404-420, March.
    37. James J. Choi & David Laibson & Brigitte C. Madrian & Andrew Metrick, 2009. "Reinforcement Learning and Savings Behavior," Journal of Finance, American Finance Association, vol. 64(6), pages 2515-2534, December.
    38. Stanimir Markov & Ane Tamayo, 2006. "Predictability in Financial Analyst Forecast Errors: Learning or Irrationality?," Journal of Accounting Research, Wiley Blackwell, vol. 44(4), pages 725-761, September.
    39. Bloomfield, Robert & Libby, Robert & Nelson, Mark W., 2000. "Underreactions, overreactions and moderated confidence," Journal of Financial Markets, Elsevier, vol. 3(2), pages 113-137, May.
    40. Teck-Hua Ho & Keith Weigelt, 1996. "Task Complexity, Equilibrium Selection, and Learning: An Experimental Study," Management Science, INFORMS, vol. 42(5), pages 659-679, May.
    41. Cenci, Marisa & Cerquetti, Annamaria & Peccati, Lorenzo, 1996. "Imitation and stability in a stock market," European Journal of Operational Research, Elsevier, vol. 91(2), pages 301-305, June.
    42. Vaughan Williams, Leighton, 1999. "Information Efficiency in Betting Markets: A Survey," Bulletin of Economic Research, Wiley Blackwell, vol. 51(1), pages 1-30, January.
    43. Gray, Philip K & Gray, Stephen F, 1997. "Testing Market Efficiency: Evidence from the NFL Sports Betting Market," Journal of Finance, American Finance Association, vol. 52(4), pages 1725-1737, September.
    44. Golec, Joseph & Tamarkin, Maurry, 1995. "Do Bettors Prefer Long Shots because They Are Risk-Lovers, or Are They Just Overconfident?," Journal of Risk and Uncertainty, Springer, vol. 11(1), pages 51-64, July.
    45. Nicholas Barberis, 2012. "A Model of Casino Gambling," Management Science, INFORMS, vol. 58(1), pages 35-51, January.
    46. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    47. Milton Friedman & L. J. Savage, 1948. "The Utility Analysis of Choices Involving Risk," Journal of Political Economy, University of Chicago Press, vol. 56(4), pages 279-279.
    48. de Dios Tena, Juan & Forrest, David, 2007. "Within-season dismissal of football coaches: Statistical analysis of causes and consequences," European Journal of Operational Research, Elsevier, vol. 181(1), pages 362-373, August.
    49. Flores, Ramón & Forrest, David & Tena, J.D., 2012. "Decision taking under pressure: Evidence on football manager dismissals in Argentina and their consequences," European Journal of Operational Research, Elsevier, vol. 222(3), pages 653-662.
    50. Thaler, Richard H & Ziemba, William T, 1988. "Parimutuel Betting Markets: Racetracks and Lotteries," Journal of Economic Perspectives, American Economic Association, vol. 2(2), pages 161-174, Spring.
    51. Conlisk, John, 1993. "The Utility of Gambling," Journal of Risk and Uncertainty, Springer, vol. 6(3), pages 255-275, June.
    52. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    53. Michael Cain & David Peel, 2004. "The utility of gambling and the favourite-longshot bias," The European Journal of Finance, Taylor & Francis Journals, vol. 10(5), pages 379-390.
    54. Amos Tversky & Itamar Simonson, 1993. "Context-Dependent Preferences," Management Science, INFORMS, vol. 39(10), pages 1179-1189, October.
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