IDEAS home Printed from https://ideas.repec.org/a/kap/atlecj/v47y2019i1d10.1007_s11293-019-09611-y.html
   My bibliography  Save this article

Holdover Bias in the College Football Betting Market

Author

Listed:
  • Randall W. Bennett

    (Gonzaga University)

Abstract

This article investigated the efficiency of the college football betting market for the following season’s first game for members of the final Associated Press Top 25 Poll. Market inefficiency was identified, with bets against these teams winning significantly more than half the time. Separate analysis of the top 10 and the remaining members of the Top 25 indicated that the inefficiency was due to the previous season’s top 10 being significantly overvalued in the betting market at the start of the next season. Bets against the top 10 teams won significantly more than the 52.4% necessary for profitability. This was especially true when they played non-Power 5 schools. Efficiency could not be rejected for the teams ranked 11 through 25. The study contributed to the literature on betting market efficiency by providing evidence that bettors could be backward-looking and over-rely on outdated information.

Suggested Citation

  • Randall W. Bennett, 2019. "Holdover Bias in the College Football Betting Market," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(1), pages 103-110, March.
  • Handle: RePEc:kap:atlecj:v:47:y:2019:i:1:d:10.1007_s11293-019-09611-y
    DOI: 10.1007/s11293-019-09611-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11293-019-09611-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11293-019-09611-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Rodney J. Andrews & Trevon D. Logan & Michael J. Sinkey, 2012. "Identifying Confirmatory Bias in the Field: Evidence from a Poll of Experts," NBER Working Papers 18064, National Bureau of Economic Research, Inc.
    2. Justin M. Ross & Sarah E. Larson & Chad Wall, 2012. "Are Surveys Of Experts Unbiased? Evidence From College Football Rankings," Contemporary Economic Policy, Western Economic Association International, vol. 30(4), pages 502-522, October.
    3. Rodney Paul & Andrew P. Weinbach & Eric Higger, 2013. "The “Large-Firm” Effect? Bettor Preferences And Market Prices In Ncaa Football," Journal of Prediction Markets, University of Buckingham Press, vol. 7(2), pages 29-41.
    4. Rodney J. Paul & Andrew P. Weinbach, 2009. "Sportsbook Behavior in the NCAA Football Betting Market: Tests of the Traditional and Levitt Models of Sportsbook Behavior," Journal of Prediction Markets, University of Buckingham Press, vol. 3(2), pages 21-37, August.
    5. 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.
    6. Nutting Andrew W., 2011. "And After That, Who Knows?: Detailing the Marginal Accuracy of Weekly College Football Polls," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(3), pages 1-17, July.
    7. Michael Sinkey & Trevon Logan, 2014. "Does the Hot Hand Drive the Market? Evidence from College Football Betting Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 40(4), pages 583-603, September.
    8. Rodney Paul & Andrew Weinbach, 2005. "Bettor preferences and market efficiency in football totals markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 29(3), pages 409-415, September.
    9. Gregory W. Brown & Michael T. Cliff, 2005. "Investor Sentiment and Asset Valuation," The Journal of Business, University of Chicago Press, vol. 78(2), pages 405-440, March.
    10. B. Jay Coleman & Andres Gallo & Paul M. Mason & Jeffrey W. Steagall, 2010. "Voter Bias in the Associated Press College Football Poll," Journal of Sports Economics, , vol. 11(4), pages 397-417, August.
    11. Noel D. Campbell & Tammy M. Rogers & R. Zachary Finney, 2007. "Evidence of Television Exposure Effects in AP Top 25 College Football Rankings," Journal of Sports Economics, , vol. 8(4), pages 425-434, August.
    12. Rodney J. Andrews & Trevon D. Logan & Michael J. Sinkey, 2018. "Identifying Confirmatory Bias in the Field," Journal of Sports Economics, , vol. 19(1), pages 50-81, January.
    13. B. Jay Coleman, 2017. "Team Travel Effects and the College Football Betting Market," Journal of Sports Economics, , vol. 18(4), pages 388-425, May.
    14. Kevin Krieger & Clay Girdner & Andy Fodor & David Kirch, 2013. "The Power Of Wagering On Power Conferences," Journal of Prediction Markets, University of Buckingham Press, vol. 7(1), pages 13-26.
    15. Sinkey, Michael, 2015. "How do experts update beliefs? Lessons from a non-market environment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 57(C), pages 55-63.
    16. Daniel F. Stone, 2013. "Testing Bayesian Updating With The Associated Press Top 25," Economic Inquiry, Western Economic Association International, vol. 51(2), pages 1457-1474, April.
    17. Rodney J. Paul & Andrew P. Weinbach & Patrick Coate, 2007. "Expectations and Voting in the NCAA Football Polls," Journal of Sports Economics, , vol. 8(4), pages 412-424, August.
    18. Daniel Kuester & Shane Sanders, 2011. "Regional information and market efficiency: the case of spread betting in United States college football," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 35(1), pages 116-122, January.
    19. Rodney Paul & Andrew Weinbach & J. Weinbach, 2003. "Fair bets and profitability in college football gambling," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(2), pages 236-242, June.
    20. Ernan Haruvy & Yaron Lahav & Charles N. Noussair, 2007. "Traders' Expectations in Asset Markets: Experimental Evidence," American Economic Review, American Economic Association, vol. 97(5), pages 1901-1920, December.
    21. Mark David Witte & McDonald Paul Mirabile, 2010. "Not So Fast, My Friend: Biases in College Football Polls," Journal of Sports Economics, , vol. 11(4), pages 443-455, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dagaev, Dmitry & Stoyan, Egor, 2020. "Parimutuel betting on the eSports duels: Evidence of the reverse favourite-longshot bias," Journal of Economic Psychology, Elsevier, vol. 81(C).
    2. 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.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Evan Moore & James Francisco, 2019. "Efficiency, Profitability, and College Football: do Bettors Overrate the Major Conferences in Interconference Play?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(2), pages 159-167, June.
    2. 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.
    3. Daniel Stone & Basit Zafar, 2014. "Do we follow others when we should outside the lab? Evidence from the AP top 25," Journal of Risk and Uncertainty, Springer, vol. 49(1), pages 73-102, August.
    4. Rodney J. Andrews & Trevon D. Logan & Michael J. Sinkey, 2018. "Identifying Confirmatory Bias in the Field," Journal of Sports Economics, , vol. 19(1), pages 50-81, January.
    5. James Francisco & Evan Moore, 2019. "Betting with house money: reverse line movement based strategies in college football totals markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(4), pages 813-827, October.
    6. Kotchen, Matthew J. & Potoski, Matthew, 2014. "Conflicts of interest distort public evaluations: Evidence from NCAA football coaches," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 51-63.
    7. Sinkey, Michael, 2015. "How do experts update beliefs? Lessons from a non-market environment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 57(C), pages 55-63.
    8. Stacey L. Brook & Xiaomin Gai, 2020. "How Do Outside Experts Evaluate Team Performance? An Empirical Analysis of Harris Poll Voting Behavior," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1590-1601, December.
    9. Justin M. Ross & Sarah E. Larson & Chad Wall, 2012. "Are Surveys Of Experts Unbiased? Evidence From College Football Rankings," Contemporary Economic Policy, Western Economic Association International, vol. 30(4), pages 502-522, October.
    10. B. Jay Coleman, 2017. "Team Travel Effects and the College Football Betting Market," Journal of Sports Economics, , vol. 18(4), pages 388-425, May.
    11. Fernandes, Marcos R., 2023. "Confirmation bias in social networks," Mathematical Social Sciences, Elsevier, vol. 123(C), pages 59-76.
    12. Trevon D. Logan, 2007. "Whoa, Nellie! Empirical Tests of College Football's Conventional Wisdom," NBER Working Papers 13596, National Bureau of Economic Research, Inc.
    13. Nutting Andrew W., 2011. "And After That, Who Knows?: Detailing the Marginal Accuracy of Weekly College Football Polls," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(3), pages 1-17, July.
    14. Humphreys, Brad R. & Paul, Rodney J. & Weinbach, Andrew P., 2013. "Consumption benefits and gambling: Evidence from the NCAA basketball betting market," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 376-386.
    15. Rodney J. Paul & Andrew P. Weinbach, 2011. "Investigating Allegations of Pointshaving in NCAA Basketball Using Actual Sportsbook Betting Percentages," Journal of Sports Economics, , vol. 12(4), pages 432-447, August.
    16. 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.
    17. Kevin Krieger & Clay Girdner & Andy Fodor & David Kirch, 2013. "The Power Of Wagering On Power Conferences," Journal of Prediction Markets, University of Buckingham Press, vol. 7(1), pages 13-26.
    18. Rodney Paul & Andrew P. Weinbach & Eric Higger, 2013. "The “Large-Firm” Effect? Bettor Preferences And Market Prices In Ncaa Football," Journal of Prediction Markets, University of Buckingham Press, vol. 7(2), pages 29-41.
    19. Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2009. "Higher-order beliefs among professional stock market forecasters: some first empirical tests," ZEW Discussion Papers 09-042, ZEW - Leibniz Centre for European Economic Research.
    20. Trevon Logan, 2011. "Econometric tests of American college football's conventional wisdom," Applied Economics, Taylor & Francis Journals, vol. 43(20), pages 2493-2518.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:atlecj:v:47:y:2019:i:1:d:10.1007_s11293-019-09611-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.