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The Relative Importance of Strength and Weight in Processing New Information in the College Football Betting Market

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  • Greg Durham
  • Mukunthan Santhanakrishnan

Abstract

Griffin and Tversky (1992) suggest that individuals, when formulating posterior probabilities based on the available evidence, tend to overreact to a new piece of evidence's strength while underreacting to the relative importance of its weight. We test this prediction using the college football betting market, a market that is commonly employed in tests for efficiency and rationality. Using average points in excess of the spread and streak against the spread as measures for strength and weight, respectively, we find that bettors overreact to strength and underreact to weight. These results are consistent with the predictions of Griffin and Tversky, as well as with the findings of Sorescu and Subrahmanyam (2006) and Barberis, Shleifer, and Vishny (1998) in financial market settings. Our work also provides insight into how behavioral biases might affect price-formation processes in other markets.

Suggested Citation

  • Greg Durham & Mukunthan Santhanakrishnan, 2008. "The Relative Importance of Strength and Weight in Processing New Information in the College Football Betting Market," Journal of Prediction Markets, University of Buckingham Press, vol. 2(2), pages 13-28, September.
  • Handle: RePEc:buc:jpredm:v:2:y:2008:i:2:p:13-28
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    References listed on IDEAS

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    1. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    2. Gregory R. Durham & Michael G. Hertzel & J. Spencer Martin, 2005. "The Market Impact of Trends and Sequences in Performance: New Evidence," Journal of Finance, American Finance Association, vol. 60(5), pages 2551-2569, October.
    3. Sorescu, Sorin & Subrahmanyam, Avanidhar, 2006. "The Cross Section of Analyst Recommendations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(1), pages 139-168, March.
    4. Diane K. Denis & John J. McConnell & Alexei V. Ovtchinnikov & Yun Yu, 2003. "S&P 500 Index Additions and Earnings Expectations," Journal of Finance, American Finance Association, vol. 58(5), pages 1821-1840, October.
    5. 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.
    6. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    7. Dare, William H. & MacDonald, S. Scott, 1996. "A generalized model for testing the home and favorite team advantage in point spread markets," Journal of Financial Economics, Elsevier, vol. 40(2), pages 295-318, February.
    8. Durvasula, Srinivas, et al, 1993. "Assessing the Cross-National Applicability of Consumer Behavior Models: A Model of Attitude toward Advertising in General," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(4), pages 626-636, March.
    9. Avery, Christopher & Chevalier, Judith, 1999. "Identifying Investor Sentiment from Price Paths: The Case of Football Betting," The Journal of Business, University of Chicago Press, vol. 72(4), pages 493-521, October.
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    Cited by:

    1. Choi, Darwin & Hui, Sam K., 2014. "The role of surprise: Understanding overreaction and underreaction to unanticipated events using in-play soccer betting market," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 614-629.

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    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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