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The degree of inefficiency in the football betting market : Statistical tests

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  • Golec, Joseph
  • Tamarkin, Maurry
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    File URL: http://www.sciencedirect.com/science/article/B6VBX-45KNKXM-4C/2/8186810d17ec19c8a3286ee36a1e6628
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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Financial Economics.

    Volume (Year): 30 (1991)
    Issue (Month): 2 (December)
    Pages: 311-323

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    Handle: RePEc:eee:jfinec:v:30:y:1991:i:2:p:311-323

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    Web page: http://www.elsevier.com/locate/inca/505576

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    RePEc Biblio mentions

    As found on the RePEc Biblio, the curated bibliography for Economics:
    1. > Industrial Organization > Industry studies > Sports, recreation and tourism > Gambling
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    Cited by:
    1. Igan, Deniz & Pinheiro, Marcelo & Smith, John, 2012. "Racial biases and market outcomes: "White men can't jump," but would you bet on it?," MPRA Paper 36069, University Library of Munich, Germany.
    2. Brown, Gregory W. & Hartzell, Jay C., 2001. "Market reaction to public information: The atypical case of the Boston Celtics," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 333-370, May.
    3. Evan Osborne, 2001. "Efficient Markets? Don't Bet on It," Journal of Sports Economics, , vol. 2(1), pages 50-61, February.
    4. Nikolaos Vlastakis & George Dotsis & Raphael N. Markellos, 2009. "How efficient is the European football betting market? Evidence from arbitrage and trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 426-444.
    5. Quitzau, Jörn & Vöpel, Henning, 2009. "Der Faktor Zufall im Fußball: Eine empirische Untersuchung für die Saison 2007/08," HWWI Research Papers 1-22, Hamburg Institute of International Economics (HWWI).
    6. Borghesi, Richard, 2007. "The home team weather advantage and biases in the NFL betting market," Journal of Economics and Business, Elsevier, vol. 59(4), pages 340-354.
    7. Dobson, Stephen & Goddard, John, 2003. "Persistence in sequences of football match results: A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 148(2), pages 247-256, July.
    8. Miller, Thomas W. & Rapach, David E., 2013. "An intra-week efficiency analysis of bookie-quoted NFL betting lines in NYC," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 10-23.
    9. Gandar, John M. & Zuber, Richard A. & Lamb, Reinhold P., 2001. "The home field advantage revisited: a search for the bias in other sports betting markets," Journal of Economics and Business, Elsevier, vol. 53(4), pages 439-453.
    10. Rodney J. Paul & Andrew P. Weinbach & Kristin K. Paul, 2010. "Using Actual Betting Percentages to Analyze Sportsbook Behavior: The Canadian and Arena Football Leagues," New York Economic Review, New York State Economics Association (NYSEA), vol. 41(1), pages 35-44.
    11. Herman O. Stekler & David Sendor & Richard Verlander, 2009. "Issues in Sports Forecasting," Working Papers 2009-002, The George Washington University, Department of Economics, Research Program on Forecasting.
    12. Igan, Deniz & Pinheiro, Marcelo & Smith, John, 2011. ""White men can't jump," but would you bet on it?," MPRA Paper 31469, University Library of Munich, Germany.
    13. Arne Feddersen & Brad Humphreys & Brian Soebbing, 2013. "Sentiment Bias in National Basketball Association Betting," Working Papers 13-03, Department of Economics, West Virginia University.
    14. Rodney J. Paul & Andrew P. Weinbach, 2014. "Market Efficiency and Behavioral Biases in the WNBA Betting Market," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 2(2), pages 193-202, April.
    15. 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.
    16. 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.
    17. Klaassen, Franc J.G.M. & Magnus, Jan R., 2009. "The efficiency of top agents: An analysis through service strategy in tennis," Journal of Econometrics, Elsevier, vol. 148(1), pages 72-85, January.
    18. Borghesi, Richard & Dare, William, 2009. "A test of the widespread-point-shaving theory," Finance Research Letters, Elsevier, vol. 6(3), pages 115-121, September.
    19. Andy Fodor & Michael DiFilippo & Kevin Krieger & Justin Davis, 2013. "Inefficient pricing from holdover bias in NFL point spread markets," Applied Financial Economics, Taylor & Francis Journals, vol. 23(17), pages 1407-1418, September.

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