IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v26yi3p543-550.html
   My bibliography  Save this article

Forecasting horse race outcomes: New evidence on odds bias in UK betting markets

Author

Listed:
  • Smith, Michael A.
  • Vaughan Williams, Leighton

Abstract

Using bookmaker odds data derived from ten seasons of Flat Racing in the UK, we confirm the existence of a favourite-longshot bias; i.e., the expected return to level stake bets placed at shorter odds exceeds that to level stake bets placed at longer odds. We find, however, that the degree of bias declines significantly over the period studied, with a lower bias being evident in the five years after 2000 than in the five preceding seasons. These findings have important implications for methods of forecasting race outcomes that include odds as an endogenous variable. In particular, we conclude that the parameters of the bias need to be re-estimated through time in order to generate the most efficient forecasts based on the prevailing odds distributions.

Suggested Citation

  • Smith, Michael A. & Vaughan Williams, Leighton, 2010. "Forecasting horse race outcomes: New evidence on odds bias in UK betting markets," International Journal of Forecasting, Elsevier, vol. 26(3), pages 543-550, July.
  • Handle: RePEc:eee:intfor:v:26:y::i:3:p:543-550
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0169-2070(09)00215-5
    Download Restriction: Full text for ScienceDirect subscribers only

    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. Dowie, Jack A, 1976. "On the Efficiency and Equity of Betting Markets," Economica, London School of Economics and Political Science, vol. 43(17), pages 139-150, May.
    2. Michael A. Smith & David Paton & Leighton Vaughan Williams, 2006. "Market Efficiency in Person-to-Person Betting," Economica, London School of Economics and Political Science, vol. 73(292), pages 673-689, November.
    3. John Peirson, 2008. "Expert Analysis and Insider Information in Horse Race Betting: Regulating Informed Market Behaviour," Studies in Economics 0819, School of Economics, University of Kent.
    4. Vaughan Williams, Leighton, 1999. "Information Efficiency in Betting Markets: A Survey," Bulletin of Economic Research, Wiley Blackwell, vol. 51(1), pages 1-30, January.
    5. Raymond D. Sauer, 1998. "The Economics of Wagering Markets," Journal of Economic Literature, American Economic Association, vol. 36(4), pages 2021-2064, December.
    6. Shin, Hyun Song, 1991. "Optimal Betting Odds against Insider Traders," Economic Journal, Royal Economic Society, vol. 101(408), pages 1179-1185, September.
    7. Snyder, Wayne W, 1978. "Horse Racing: Testing the Efficient Markets Model," Journal of Finance, American Finance Association, vol. 33(4), pages 1109-1118, September.
    8. Shin, Hyun Song, 1993. "Measuring the Incidence of Insider Trading in a Market for State-Contingent Claims," Economic Journal, Royal Economic Society, vol. 103(420), pages 1141-1153, September.
    9. Crafts, Nicholas F R, 1985. "Some Evidence of Insider Knowledge in Horse Race Betting in Britain," Economica, London School of Economics and Political Science, vol. 52(27), pages 295-304, August.
    10. Les Coleman, 2004. "New light on the longshot bias," Applied Economics, Taylor & Francis Journals, vol. 36(4), pages 315-326.
    11. Williams, Leighton Vaughan & Paton, David, 1997. "Why Is There a Favourite-Longshot Bias in British Racetrack Betting Markets?," Economic Journal, Royal Economic Society, vol. 107(440), pages 150-158, January.
    12. Law, David & Peel, David A, 2002. "Insider Trading, Herding Behaviour and Market Plungers in the British Horse-Race Betting Market," Economica, London School of Economics and Political Science, vol. 69(274), pages 327-338, May.
    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. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V., 2016. "Probabilistic forecasting with discrete choice models: Evaluating predictions with pseudo-coefficients of determination," European Journal of Operational Research, Elsevier, vol. 248(3), pages 1021-1030.
    2. Fildes, Robert, 2015. "Forecasters and rationality—A comment on Fritsche et al., Forecasting the Brazilian Real and Mexican Peso: Asymmetric loss, forecast rationality and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 140-143.

    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:eee:intfor:v:26:y::i:3:p:543-550. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/ijforecast .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.