IDEAS home Printed from https://ideas.repec.org/a/pal/easeco/v40y2014i4p583-603.html
   My bibliography  Save this article

Does the Hot Hand Drive the Market? Evidence from College Football Betting Markets

Author

Listed:
  • Michael Sinkey

    (Department of Economics, University of West Georgia, 1601 N. Maple Street, Carrollton, GA 30117, USA.)

  • Trevon Logan

    (Ohio State University and NBER, 1945 N. High Street, Columbus, OH 43210, USA)

Abstract

This paper investigates whether market makers rationally price out certain strategies at the expense of leaving other strategies profitable. We examine betting market outcomes in college football from over 14,000 games during 1985–2008. We find that favorites are statistically overpriced while home teams are statistically underpriced. Furthermore, we provide suggestive evidence for why this inefficiency persists: betting houses deliberately inflate the betting lines to account for previous strong performance against the spread, or the “hot hand.” Although eliminating the “hot hand” is rational since betting on “hot” teams is popular, tempering the “hot hand” results in profitable simple betting strategies.

Suggested Citation

  • 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.
  • Handle: RePEc:pal:easeco:v:40:y:2014:i:4:p:583-603
    as

    Download full text from publisher

    File URL: http://www.palgrave-journals.com/eej/journal/v40/n4/pdf/eej201333a.pdf
    File Function: Link to full text PDF
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: http://www.palgrave-journals.com/eej/journal/v40/n4/full/eej201333a.html
    File Function: Link to full text HTML
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    2. 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.
    3. Kevin Krieger & Andy Fodor & Greg Stevenson, 2013. "The Sensitivity of Findings of Expected Bookmaker Profitability," Journal of Sports Economics, , vol. 14(2), pages 186-202, April.
    4. 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.
    5. 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.
    6. 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.
    7. Sauer, Raymond D & Brajer, Vic & Ferris, Stephen P & Marr, M Wayne, 1988. "Hold Your Bets: Another Look at the Efficiency of the Gambling Market for National Football League Games: Comment," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 206-213, February.
    8. Ryan Sullivan & Allan Timmermann & Halbert White, 1999. "Data‐Snooping, Technical Trading Rule Performance, and the Bootstrap," Journal of Finance, American Finance Association, vol. 54(5), pages 1647-1691, October.
    9. Ricard Gil & Steven D. Levitt, 2007. "Testing the Efficiency of Markets in the 2002 World Cup," Journal of Prediction Markets, University of Buckingham Press, vol. 1(3), pages 255-270, December.
    10. Scheibehenne, Benjamin & Broder, Arndt, 2007. "Predicting Wimbledon 2005 tennis results by mere player name recognition," International Journal of Forecasting, Elsevier, vol. 23(3), pages 415-426.
    11. Jennifer Conrad & Michael Cooper & Gautam Kaul, 2003. "Value versus Glamour," Journal of Finance, American Finance Association, vol. 58(5), pages 1969-1995, October.
    12. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    13. 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.
    14. 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.
    15. Ray Fair & John Oster, 2002. "College Football Rankings and Market Efficiency," Yale School of Management Working Papers amz2377, Yale School of Management, revised 01 Aug 2007.
    16. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-1313, September.
    17. Brown, William O & Sauer, Raymond D, 1993. "Does the Basketball Market Believe in the Hot Hand? Comment," American Economic Review, American Economic Association, vol. 83(5), pages 1377-1386, December.
    18. Trevon Logan, 2011. "Econometric tests of American college football's conventional wisdom," Applied Economics, Taylor & Francis Journals, vol. 43(20), pages 2493-2518.
    19. Gandar, John, et al, 1988. " Testing Rationality in the Point Spread Betting Market," Journal of Finance, American Finance Association, vol. 43(4), pages 995-1008, September.
    20. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    21. 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.
    22. Ray Fair & John Oster, 2002. "College Football Rankings and Market Efficiency," Yale School of Management Working Papers amz2377, Yale School of Management, revised 01 Aug 2007.
    23. Narasimhan Jegadeesh & Sheridan Titman, 2001. "Profitability of Momentum Strategies: An Evaluation of Alternative Explanations," Journal of Finance, American Finance Association, vol. 56(2), pages 699-720, April.
    24. Steven D. Levitt, 2004. "Why are gambling markets organised so differently from financial markets?," Economic Journal, Royal Economic Society, vol. 114(495), pages 223-246, April.
    25. Grinblatt, Mark & Keloharju, Matti, 2000. "The investment behavior and performance of various investor types: a study of Finland's unique data set," Journal of Financial Economics, Elsevier, vol. 55(1), pages 43-67, January.
    26. Halbert White, 2000. "A Reality Check for Data Snooping," Econometrica, Econometric Society, vol. 68(5), pages 1097-1126, September.
    27. 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.
    28. 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.
    29. 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.
    30. Gregory R. Durham & Michael G. Hertzel & J. Spencer Martin, 2005. "The Market Impact of Trends and Sequences in Performance: New Evidence," Journal of Finance, American Finance Association, vol. 60(5), pages 2551-2569, October.
    31. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    32. Jennifer Conrad & Michael Cooper & Gautam Kaul, 2003. "Value versus Glamour," Journal of Finance, American Finance Association, vol. 58(5), pages 1969-1996, October.
    33. 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.
    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. 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.
    2. 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.
    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.
    4. 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.
    5. Daniel F. Stone & Jeremy Arkes, 2018. "March Madness? Underreaction To Hot And Cold Hands In Ncaa Basketball," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1724-1747, July.
    6. Steven Salaga & Katie M Brown, 2018. "Momentum and betting market perceptions of momentum in college football," Applied Economics Letters, Taylor & Francis Journals, vol. 25(19), pages 1383-1388, November.
    7. Ala Avoyan & Robizon Khubulashvili & Giorgi Mekerishvili, 2020. "Call It a Day: History Dependent Stopping Behavior," CESifo Working Paper Series 8603, CESifo.
    8. 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.

    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. Stekler, H.O. & Sendor, David & Verlander, Richard, 2010. "Issues in sports forecasting," International Journal of Forecasting, Elsevier, vol. 26(3), pages 606-621, July.
      • Herman O. Stekler & David Sendor & Richard Verlander, 2009. "Issues in Sports Forecasting," Working Papers 2009-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Tobias J. Moskowitz, 2021. "Asset Pricing and Sports Betting," Journal of Finance, American Finance Association, vol. 76(6), pages 3153-3209, December.
    3. 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.
    4. Ray C. Fair & John F. Oster, 2007. "College Football Rankings and Market Efficiency," Journal of Sports Economics, , vol. 8(1), pages 3-18, February.
    5. Kyle J. Kain & Trevon D. Logan, 2014. "Are Sports Betting Markets Prediction Markets?," Journal of Sports Economics, , vol. 15(1), pages 45-63, February.
    6. Steven G. Sapra, 2008. "Evidence of Betting Market Intraseason Efficiency and Interseason Overreaction to Unexpected NFL Team Performance 1988-2006," Journal of Sports Economics, , vol. 9(5), pages 488-503, October.
    7. Sathya Ramesh & Ragib Mostofa & Marco Bornstein & John Dobelman, 2019. "Beating the House: Identifying Inefficiencies in Sports Betting Markets," Papers 1910.08858, arXiv.org, revised Oct 2019.
    8. 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.
    9. Rodney J. Paul & Andrew P. Weinbach, 2005. "Bettor Misperceptions in the NBA," Journal of Sports Economics, , vol. 6(4), pages 390-400, November.
    10. Arne Feddersen & Brad R. Humphreys & Brian P. Soebbing, 2018. "Sentiment Bias in National Basketball Association Betting," Journal of Sports Economics, , vol. 19(4), pages 455-472, May.
    11. Ray Fair & John Oster, 2002. "College Football Rankings and Market Efficiency," Yale School of Management Working Papers amz2377, Yale School of Management, revised 01 Aug 2007.
    12. Gross, Johannes & Rebeggiani, Luca, 2018. "Chance or Ability? The Efficiency of the Football Betting Market Revisited," MPRA Paper 87230, University Library of Munich, Germany.
    13. Montone, Maurizio, 2021. "Optimal pricing in the online betting market," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 344-363.
    14. Ray Fair & John Oster, 2002. "College Football Rankings and Market Efficiency," Yale School of Management Working Papers amz2377, Yale School of Management, revised 01 Aug 2007.
    15. Benjamin Waggoner & Daniel Wines & Brian P. Soebbing & Chad S. Seifried & Jean Michael Martinez, 2014. "“Hot Hand” in the National Basketball Association Point Spread Betting Market: A 34-Year Analysis," IJFS, MDPI, vol. 2(4), pages 1-12, November.
    16. 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.
    17. Jaiho Chung & Joon Ho Hwang, 2010. "An Empirical Examination of the Parimutuel Sports Lottery Market versus the Bookmaker Market," Southern Economic Journal, John Wiley & Sons, vol. 76(4), pages 884-905, April.
    18. 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.
    19. 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).
    20. Jinook Jeong & Jee Young Kim & Yoon Jae Ro, 2019. "On the efficiency of racetrack betting market: a new test for the favourite-longshot bias," Applied Economics, Taylor & Francis Journals, vol. 51(54), pages 5817-5828, November.

    More about this item

    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:pal:easeco:v:40:y:2014:i:4:p:583-603. 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.palgrave-journals.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.