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The home team weather advantage and biases in the NFL betting market

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  • Borghesi, Richard

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  • 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.
    • Handle: RePEc:eee:jebusi:v:59:y:2007:i:4:p:340-354
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. David Hirshleifer & Tyler Shumway, 2003. "Good Day Sunshine: Stock Returns and the Weather," Journal of Finance, American Finance Association, vol. 58(3), pages 1009-1032, June.
    5. 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.
    6. Vergin, Roger C. & Sosik, John J., 1999. "No place like home: an examination of the home field advantage in gambling strategies in NFL football," Journal of Economics and Business, Elsevier, vol. 51(1), pages 21-31, January.
    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. 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. Justin Cox & Adam L. Schwartz & Bonnie F. Van Ness & Robert A. Van Ness, 2021. "The Predictive Power of College Football Spreads: Regular Season Versus Bowl Games," Journal of Sports Economics, , vol. 22(3), pages 251-273, April.
    2. Kai Fischer & Justus Haucap, 2020. "Betting Market Efficiency in the Presence of Unfamiliar Shocks: The Case of Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8526, CESifo.
    3. Svetlana Vlady & Ekrem Tufan & Bahattin Hamarat, 2011. "Causality Of Weather Conditions In Australian Stock Equity Returns," Revista Tinerilor Economisti (The Young Economists Journal), University of Craiova, Faculty of Economics and Business Administration, vol. 1(16), pages 161-175, April.
    4. Kevin Krieger & Justin L. Davis & James Strode, 2021. "Patience is a virtue: exploiting behavior bias in gambling markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(4), pages 735-750, October.
    5. Thomas J. Murray, 2018. "Examining the Relationship Between Scheduling and the Outcomes of Regular Season Games in the National Football League," Journal of Sports Economics, , vol. 19(5), pages 696-724, June.
    6. Dmitry Dagaev & Egor Stoyan, 2019. "Parimutuel Betting On The Esports Duels: Reverse Favourite-Longshot Bias And Its Determinants," HSE Working papers WP BRP 216/EC/2019, National Research University Higher School of Economics.
    7. Daniel Simundza, 2017. "Cream Puffs," Journal of Sports Economics, , vol. 18(8), pages 787-802, December.
    8. Corey A. Shank, 2018. "Is the NFL betting market still inefficient?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(4), pages 818-827, October.
    9. Starke, Stephan & Vischer, Lars & Dilger, Alexander, 2022. "Change in home bias due to ghost games in the NFL," Discussion Papers of the Institute for Organisational Economics 6/2022, University of Münster, Institute for Organisational Economics.
    10. Svetlana Vlady & Ekrem Tufan, PhD, 2011. "Causality Of Weather Conditions In Australian Stock Equity Returns," Revista Tinerilor Economisti (The Young Economists Journal), University of Craiova, Faculty of Economics and Business Administration, vol. 1(17), pages 184-197, November.
    11. Corey A. Shank, 2019. "NFL betting market efficiency, divisional rivals, and profitable strategies," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 36(4), pages 567-580, September.
    12. Michael DiFilippo & Kevin Krieger & Justin Davis & Andy Fodor, 2014. "Early Season NFL Over/Under Bias," Journal of Sports Economics, , vol. 15(2), pages 201-211, April.
    13. Yoon Tae Sung & Scott Tainsky, 2014. "The National Football League Wagering Market," Journal of Sports Economics, , vol. 15(4), pages 365-384, August.
    14. Daniel C. Hickman, 2020. "Efficiency in the madness? examining the betting market for the ncaa men’s basketball tournament," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(3), pages 611-626, July.
    15. Mark W. Nichols, 2014. "The Impact of Visiting Team Travel on Game Outcome and Biases in NFL Betting Markets," Journal of Sports Economics, , vol. 15(1), pages 78-96, February.
    16. Sean Wever & David Aadland, 2012. "Herd behaviour and underdogs in the NFL," Applied Economics Letters, Taylor & Francis Journals, vol. 19(1), pages 93-97, January.
    17. B. Jay Coleman, 2017. "Team Travel Effects and the College Football Betting Market," Journal of Sports Economics, , vol. 18(4), pages 388-425, May.

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