This article uses bookmaker betting volume data to test the influence of bettor sentiment on bookmaker pricing in the over/under 2.5 goals betting market. In an average match, more than 80% of the volume wagered is concentrated on the over bet as cheering for a high score is more attractive than betting against it. We do not find that this volume imbalance is associated with systematic biases in bettor returns. High price transparency seems to prevent bookmakers from systematically distorting their odds in order to exploit bettor sentiment.
AveryC.ChevalierJ. (1999). Identifying investor sentiment from price paths: The case of football betting. Journal of Business, 72, 493–521.
2.
BraunS.KvasnickaM. (2013). National sentiment and economic behavior: Evidence from online betting on European football. Journal of Sports Economics, 14, 45–64.
3.
ConliskJ. (1993). The utility of gambling. Journal of Risk and Uncertainty, 6, 255–275.
PageL. (2009). Is there an optimistic bias on betting markets?Economics Letters, 102, 70–72.
12.
PaulR.WeinbachA. (2002). Market efficiency and a profitable betting rule: Evidence from totals on professional football. Journal of Sports Economics, 3, 256–263.
13.
PaulR.WeinbachA. (2007). Does sportsbook.com set pointspreads to maximize profits? Tests of the Levitt model of sportsbook behavior. Journal of Prediction Markets, 1, 209–218.
14.
PaulR.WeinbachA. (2008). Price setting in the NBA gambling market: Tests of the Levitt model of sportsbook behavior. International Journal of Sports Finance, 3, 137–145.
15.
PaulR.WeinbachA. (2009). Sportsbook behavior in the NCAA football betting market: Tests of the traditional and Levitt models of sportsbook behavior. Journal of Prediction Markets, 3, 21–37.
16.
PaulR.WeinbachA. (2012). Sportsbook pricing and the behavioral biases of bettors in the NHL. Journal of Economics and Finance, 36, 123–135.
17.
QuandtR. (1986). Betting and equilibrium. Quarterly Journal of Economics, 101, 201–208.
SorensenP.OttavianiM. (2008). The favorite-longshot bias: An overview of the main explanations. In HauschD.ZiembaW. (Eds.), Handbook of sports and lottery markets (pp. 83–101). North-Holland, Amsterdam: Elsevier.
20.
WoodlandB.WoodlandL. (2010). Market efficiency and the NHL totals betting market: Is there an under bias?Economics Bulletin, 30, 3122–3127.
21.
WoodlandL.WoodlandB. (1994). Market efficiency and the favorite-longshot bias: The baseball betting market. Journal of Finance, 49, 269–279.