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A Test of Unbiasedness and Sports Book Profits in the NFL Point Spread Betting Merket Using Circadian Advantage

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  • Daniel M. Chin

    (University of South Florida)

Abstract

Medical research shows that the human body typically performs at its best during late afternoon hours, and that the results of National Football League (NFL) games can partly be explained by differences in these levels of performance, coined the circadian advantage, when teams based in different time zones play against each other. This paper uses an augmented version of Dare and Holland’s (2004) generalized model to provide evidence that a circadian advantage bias exists in the NFL betting market. Detailed betting data used here supports results from Levitt (2004) and Paul and Weinbach (2007) by showing that sports books make use of the bias by setting odds that bait bettors who are unaware of the circadian advantage into making what tends to be a losing wager on the disadvantaged team.

Suggested Citation

  • Daniel M. Chin, 2011. "A Test of Unbiasedness and Sports Book Profits in the NFL Point Spread Betting Merket Using Circadian Advantage," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 5(3), pages 15-26, October.
  • Handle: RePEc:buc:jgbeco:v:5:y:2011:i:3:p:15-26
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    References listed on IDEAS

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    1. Raymond D. Sauer, 1998. "The Economics of Wagering Markets," Journal of Economic Literature, American Economic Association, vol. 36(4), pages 2021-2064, December.
    2. Bradford Cornell & Richard Roll, 1981. "Strategies for Pairwise Competition in Markets and Organizations," Bell Journal of Economics, The RAND Corporation, vol. 12(1), pages 201-213, Spring.
    3. Rodney J. Paul & Andrew P. Weinbach, 2007. "Does Sportsbook.com Set Pointspreads to Maximize Profits? Tests of the Levitt Model of Sportsbook Behavior," Journal of Prediction Markets, University of Buckingham Press, vol. 1(3), pages 209-218, December.
    4. William Dare & A. Steven Holland, 2004. "Efficiency in the NFL betting market: modifying and consolidating research methods," Applied Economics, Taylor & Francis Journals, vol. 36(1), pages 9-15.
    5. 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.
    6. Gandar, John, et al, 1988. " Testing Rationality in the Point Spread Betting Market," Journal of Finance, American Finance Association, vol. 43(4), pages 995-1008, September.
    7. Steven D. Levitt, 2004. "Why are gambling markets organised so differently from financial markets?," Economic Journal, Royal Economic Society, vol. 114(495), pages 223-246, April.
    8. 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. Bryan C. McCannon, 2015. "Replacement Referees And Nfl Betting Markets," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 9(2), pages 14-26.

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    More about this item

    JEL classification:

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

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