EconPapers    
Economics at your fingertips  
 

The Tradesports NFL Prediction Market: An Analysis of Market Efficiency, Transaction Costs, and Bettor Preferences

Philip O'Connor and Feng Zhou

Journal of Prediction Markets, 2008, vol. 2, issue 1, 45-71

Abstract: We investigated 1,587 Tradesports point spread contracts for NFL games during the 2005/06 season. Differing point spreads create differing odds, meaning we could test for the traditional favorite long shot bias in NFL betting. We found that there was no favorite long shot bias. However, the market underestimated the chances of the favored team winning by about 10% across all odds categories, and this bias persisted throughout the season. We found relatively low transaction costs. For a price-taker, the Tradesports "Vegas-line" point spread had a 2.2% total takeout including exchange fees, about half of the 4.55% takeout of traditional legal bookmakers. Contracts with a price around 50, creating even money returns to bets on both teams, and higher volume contracts, had lower transaction costs. Participants were found to prefer the Las Vegas line point spread contract followed by the straight-up contract. Trading volume during the game (in-running) was about twice the trading volume leading up to the game. Teams with better season records and from cities with larger populations generated a higher volume of trades. Sunday night and Monday night games generated about four times more volume than regular Sunday games.

Keywords: PREDICTION MARKETS; BETTOR PREFERENCES; FAVORITE LONG SHOT BIAS; NFL POINT SPREADS (search for similar items in EconPapers)
JEL-codes: L83 (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.ingentaconnect.com/content/ubpl/jpm/2008/00000002/00000001/art00003 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:buc:jpredm:v:2:y:2008:i:1:p:45-71

Ordering information: This journal article can be ordered from
http://www.predictio ... ex_files/Page418.htm

Access Statistics for this article

Journal of Prediction Markets is currently edited by Leighton Vaughan Williams, Nottingham Business School

More articles in Journal of Prediction Markets from University of Buckingham Press
Bibliographic data for series maintained by Dominic Cortis, University of Malta ().

 
Page updated 2025-03-19
Handle: RePEc:buc:jpredm:v:2:y:2008:i:1:p:45-71