This paper explores the use of the anchoring and adjustment heuristic by decision makers in a financial market; in particular, the degree to which horserace bettors anchor their probability judgments on the advantage afforded by a horse's barrier-position. The results suggest that under certain...

There have been many attempts, theoretical and empirical, to explain the persistence of a favorite-longshot bias in various horse betting markets. Most recently, Snowberg and Wolfers (2010) have shown that the data for the US markets support a misperceptions of probability approach in line with...

Standard methods to assess the statistical quality of econometric models implicitly assume there is only one person in the world, namely the forecaster with her model(s), and that there exists an objective and independent reality to which the model predictions may be compared. However, on many...

We extend the pioneering work of Aumann and Serrano by presenting an index of inherent riskiness of a gamble having the desirable properties of their index, while being applicable to gambles with either positive or negative expectations. As such, our index provides a measure of riskiness which...

This paper develops a theoretical model that examines the optimal price setting by on-course bookmakers in the racetrack betting market. The model suggests that opening prices should include a premium that compensates bookmakers for the risk that insiders will account for private information and...

Herding is often considered as a phenomenon that drives prices of risky assets away from their equilibrium levels. In this paper we study the on-course UK and Australian horse betting markets. These are simple examples of imperfect markets for state-contingent assets. We provide strong evidence...

This paper uses a new variable based on estimates of insider trading to forecast the outcome of horse races. We base our analysis on Schnytzer, Lamers and Makropoulou (2008) who showed that inside trading in the 1997-1998 Australian racetrack betting market represents somewhere between 20 and 30...