IDEAS home Printed from https://ideas.repec.org/a/wly/soecon/v76y2010i4p976-992.html

Expert Analysis and Insider Information in Horse Race Betting: Regulating Informed Market Behavior

Author

Listed:
  • John Peirson
  • Michael A. Smith

Abstract

We present a new model analyzing the effect of uncertainty faced by bookmakers. It is shown that bettors with inside information or expert analysis decrease the odds set by profit‐maximizing bookmakers. Data on previously unraced 2‐year‐old horses and those that have raced previously are used to examine the impact of the greater possibility of insider information on odds bias in relation to unraced horses. The probability of an unraced 2‐year‐old winning is found to be on average 16% higher than that of a raced 2‐year‐old horse with the same odds. This effect decreases as the probability of winning increases. The latter effect indicates a possible contribution to the favorite‐longshot bias, and the former shows the importance of insider information in the setting of market odds. The regulation of the use of insider information is discussed in light of the similar impact of insider information and expert analysis on bookmaker odds.

Suggested Citation

  • John Peirson & Michael A. Smith, 2010. "Expert Analysis and Insider Information in Horse Race Betting: Regulating Informed Market Behavior," Southern Economic Journal, John Wiley & Sons, vol. 76(4), pages 976-992, April.
  • Handle: RePEc:wly:soecon:v:76:y:2010:i:4:p:976-992
    DOI: 10.4284/sej.2010.76.4.976
    as

    Download full text from publisher

    File URL: https://doi.org/10.4284/sej.2010.76.4.976
    Download Restriction: no

    File URL: https://libkey.io/10.4284/sej.2010.76.4.976?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
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. 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.
    2. Robin Maximilian Stetzka & Stefan Winter, 2023. "How rational is gambling?," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1432-1488, September.

    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    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:wly:soecon:v:76:y:2010:i:4:p:976-992. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)2325-8012 .

    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.