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The Efficiency of Australian Football Betting Markets

Author

Listed:
  • Timothy J. Brailsford

    (Department of Accounting and Finance, University of Melbourne, Parkville VIC 3052.)

  • Philip K. Gray

    (School of Economics and Finance, Queensland University of Technology, Brisbane QLD 4001.)

  • Stephen A. Easton

    (Department of Accounting and Finance, Monash University, Clayton VIC 3168.)

  • Stephen F. Gray

    (Fuqua School of Business, Duke University, Durham NC 27708, U.S.A.)

Abstract

This paper examines the efficiency of the two major Australian football betting markets: the Australian Rugby League (ARL) FootyTAB market and the Australian Football League (AFL) Footywin market. Probit and ordered probit models are tailored to the unique structures of the markets. This circumvents some potential econometric problems, and also allows us to test betting strategies in which a bet is placed only when there is a high ex†ante probability of success. Our probit models are successful in predicting game outcomes in both the ARL and AFL. While several of our betting strategies generate significant profits, both in†sample and out†of†sample, we offer a number of reasons why we are cautious about interpreting these results as conclusive evidence of market inefficiency.

Suggested Citation

  • Timothy J. Brailsford & Philip K. Gray & Stephen A. Easton & Stephen F. Gray, 1995. "The Efficiency of Australian Football Betting Markets," Australian Journal of Management, Australian School of Business, vol. 20(2), pages 167-195, December.
    • Handle: RePEc:sae:ausman:v:20:y:1995:i:2:p:167-195
    DOI: 10.1177/031289629502000204
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    References listed on IDEAS

    as
    1. Warner, Jerold B. & Watts, Ross L. & Wruck, Karen H., 1988. "Stock prices and top management changes," Journal of Financial Economics, Elsevier, vol. 20(1-2), pages 461-492, January.
    2. 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.
    3. Bird, Ron & McCrae, Michael & Beggs, John J, 1987. "Are Gamblers Really Risk Takers?," Australian Economic Papers, Wiley Blackwell, vol. 26(49), pages 237-253, December.
    4. Weisbach, Michael S., 1988. "Outside directors and CEO turnover," Journal of Financial Economics, Elsevier, vol. 20(1-2), pages 431-460, January.
    5. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    6. Brown, William O & Sauer, Raymond D, 1993. "Fundamentals or Noise? Evidence from the Professional Basketball Betting Market," Journal of Finance, American Finance Association, vol. 48(4), pages 1193-1209, September.
    7. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    8. 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.
    9. Ron Bird & Michael Mccrae, 2008. "Tests Of The Efficiency Of Racetrack Betting Using Bookmaker Odds," World Scientific Book Chapters, in: Donald B Hausch & Victor SY Lo & William T Ziemba (ed.), Efficiency Of Racetrack Betting Markets, chapter 59, pages 593-603, World Scientific Publishing Co. Pte. Ltd..
    10. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    11. 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.
    12. Woodland, Bill M & Woodland, Linda M, 1991. "The Effects of Risk Aversion on Wagering: Point Spread versus Odds," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 638-653, June.
    13. 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.
    14. Swidler, Steve & Shaw, Ron, 1995. "Racetrack wagering and the "uninformed" bettor: A study of market efficiency," The Quarterly Review of Economics and Finance, Elsevier, vol. 35(3), pages 305-314.
    15. De Bondt, Werner F M & Thaler, Richard H, 1987. "Further Evidence on Investor Overreaction and Stock Market Seasonalit y," Journal of Finance, American Finance Association, vol. 42(3), pages 557-581, July.
    16. Denis, David J & Denis, Diane K, 1995. "Performance Changes Following Top Management Dismissals," Journal of Finance, American Finance Association, vol. 50(4), pages 1029-1057, September.
    17. Ali, Mukhtar M, 1977. "Probability and Utility Estimates for Racetrack Bettors," Journal of Political Economy, University of Chicago Press, vol. 85(4), pages 803-815, August.
    18. Boudoukh, Jacob & Richardson, Matthew P & Whitelaw, Robert F, 1994. "A Tale of Three Schools: Insights on Autocorrelations of Short-Horizon Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 539-573.
    19. repec:bla:jfinan:v:43:y:1988:i:4:p:995-1008 is not listed on IDEAS
    20. Tuckwell, R H, 1983. "The Thoroughbred Gambling Market: Efficiency, Equity and Related Issues," Australian Economic Papers, Wiley Blackwell, vol. 22(4), pages 106-118, June.
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