IDEAS home Printed from https://ideas.repec.org/a/jsf/intjsf/v6y2011i4p317-334.html
   My bibliography  Save this article

Match Rigging and the Favorite Long-Shot Bias in the Italian Football Betting Market

Author

Listed:
  • Marco Rossi

    (University La Sapienza, Rome)

Abstract

In this empirical study, I compared the results of matches played in the Italian football league Serie A with the odds offered by bookmakers. I found that the market odds were good predictors of the actual game results, but I also found that the distribution of returns for odds’ subgroups displayed the so-called favorite long shot (F/L) bias. Given the evidence of match-rigging in Italian football, I investigated if this bias was caused by a strategic behavior of bookmakers who were expecting to deal with insiders. My results support that match-rigging was associated with a larger F/L bias.

Suggested Citation

  • Marco Rossi, 2011. "Match Rigging and the Favorite Long-Shot Bias in the Italian Football Betting Market," International Journal of Sport Finance, Fitness Information Technology, vol. 6(4), pages 317-334, November.
    • Handle: RePEc:jsf:intjsf:v:6:y:2011:i:4:p:317-334
    as

    Download full text from publisher

    File URL: http://www.fitinfotech.com/IJSF/IJSFbackissueWVU.tpl
    Download Restriction: Full-text download requires subscription from FIT.
    ---><---

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

    More about this item

    Keywords

    football wagering; match rigging; favorite long shot bias;
    All these keywords.

    JEL classification:

    • 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:jsf:intjsf:v:6:y:2011:i:4:p:317-334. 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: Victor Matheson (email available below). General contact details of provider: http://www.fitinfotech.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.