Next game reaction to mispriced betting lines in college football
Randall W. Bennett
Applied Economics Letters, 2021, vol. 28, issue 12, 1006-1009
Abstract:
Although studies show the point spread is a very good predictor of actual score differences in college football, there are a number of games each season where the betting line is not close to the actual spread. This article investigates the efficiency of the college football betting market for the game following one with a large difference between betting and actual point spreads for the 2006–2018 seasons. For the entire sample, the simple rule of betting for teams that greatly beat the spread and against teams that did very poorly against the spread in the previous game wins significantly more than half the time. When the results are analysed separately for the better known BCS/Power 5 schools and the lesser known non-BCS/Power 5 schools, efficiency cannot be rejected for games involving the BCS/Power 5 teams. For games involving two non-BCS/Power 5 teams, however, following the betting rule wins against the spread 54.23% of the time, which is significantly greater than 50%. This is consistent with an information gap scenario, where new information is more efficiently incorporated for games involving better-known participants.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2020.1795063 (text/html)
Access to full text is restricted to subscribers.
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:taf:apeclt:v:28:y:2021:i:12:p:1006-1009
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/13504851.2020.1795063
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().