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Testing Market Efficiency in the Major League Baseball Over-Under Betting Market

Author

Listed:
  • Kenneth H. Brown

    (University of Northern Iowa)

  • Fred J. Abraham

    (University of Northern Iowa)

Abstract

This article tests market efficiency in the over-under betting market for Major League Baseball using data from the 1996 through 2000 seasons. It is shown that a simple betting strategy based on streaks was profitable for the 1997 season but was not profitable for any of the other years studied. The 1997 season involved expansion, realignment, and the introduction of interleague play to Major League Baseball. These changes in the league’s structure may have created uncertainty in player and team performance, which allowed this strategy to be profitable. The article argues, however, that the over-under betting market for baseball is efficient because the profitability of this strategy was eliminated in the following years.

Suggested Citation

  • Kenneth H. Brown & Fred J. Abraham, 2002. "Testing Market Efficiency in the Major League Baseball Over-Under Betting Market," Journal of Sports Economics, , vol. 3(4), pages 311-319, November.
    • Handle: RePEc:sae:jospec:v:3:y:2002:i:4:p:311-319
    DOI: 10.1177/152700250200300401
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    References listed on IDEAS

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    1. Camerer, Colin F, 1989. "Does the Basketball Market Believe in the 'Hot Hand'?," American Economic Review, American Economic Association, vol. 79(5), pages 1257-1261, December.
    2. 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.
    3. Zuber, Richard A & Gandar, John M & Bowers, Benny D, 1985. "Beating the Spread: Testing the Efficiency of the Gambling Market for National Football League Games," Journal of Political Economy, University of Chicago Press, vol. 93(4), pages 800-806, August.
    4. John M. Gandar & William H. Dare & Craig R. Brown & Richard A. Zuber, 1998. "Informed Traders and Price Variations in the Betting Market for Professional Basketball Games," Journal of Finance, American Finance Association, vol. 53(1), pages 385-401, February.
    5. de Leeuw, Frank & McKelvey, Michael J, 1984. "Price Expectations of Business Firms: Bias in the Short and Long Run," American Economic Review, American Economic Association, vol. 74(1), pages 99-110, March.
    6. Evan Osborne, 2001. "Efficient Markets? Don’t Bet on It," Journal of Sports Economics, , vol. 2(1), pages 50-61, February.
    7. Losey, Robert L & Talbott, John C, Jr, 1980. "Back on the Track with the Efficient Markets Hypothesis," Journal of Finance, American Finance Association, vol. 35(4), pages 1039-1043, September.
    8. Golec, Joseph & Tamarkin, Maurry, 1991. "The degree of inefficiency in the football betting market : Statistical tests," Journal of Financial Economics, Elsevier, vol. 30(2), pages 311-323, December.
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    1. John M. Gandar & Richard A. Zuber, 2004. "An Evaluation of the Debate Over “Testing Market Efficiency in the Major League Baseball Over-Under Betting Marketâ€," Journal of Sports Economics, , vol. 5(1), pages 100-105, February.
    2. Frank Daumann & Markus Breuer, 2011. "The Role of Information in Professional Football and the German Football Betting Market," Chapters, in: Wladimir Andreff (ed.), Contemporary Issues in Sports Economics, chapter 6, Edward Elgar Publishing.

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