This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

How efficient is the European football betting market? Evidence from arbitrage and trading strategies

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Nikolaos Vlastakis (Department of Management Science and Technology, Athens University of Economics and Business, Greece)
George Dotsis (School of Accounting, Finance and Management, Essex Business School)
Raphael N. Markellos (Department of Management Science and Technology, Athens University of Economics and Business, Greece)

Additional information is available for the following registered author(s):

Abstract

This paper assesses the international efficiency of the European football betting market by examining the forecastability of match outcomes on the basis of the information contained in different sets of online and fixed odds quoted by six major bookmakers. The paper also investigates the profitability of strategies based on: combined betting, simple heuristic rules, regression models and prediction encompassing. The empirical results show that combined betting across different bookmakers can lead to limited but highly profitable arbitrage opportunities. Simple trading rules and betting strategies based on forecast encompassing are found capable of also producing significant positive returns. Despite the deregulation, globalization and increased competition in the betting industry over recent years, the predictabilities and profits reported in this paper are not fully consistent with weak-form market efficiency. Copyright © 2008 John Wiley & Sons, Ltd.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hdl.handle.net/10.1002/for.1085
File Format: text/html
File Function: Link to full text; subscription required
Download Restriction: no

Publisher Info
Article provided by John Wiley & Sons, Ltd. in its journal Journal of Forecasting.

Volume (Year): 28 (2009)
Issue (Month): 5 ()
Pages: 426-444
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:jof:jforec:v:28:y:2009:i:5:p:426-444

Contact details of provider:
Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/2966

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords:

Statistics
Access and download statistics

Did you know? Apart from a small start up grant in the 1990's, RePEc has received no funding and lives on the help of volunteers.

This page was last updated on 2009-11-29.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.