Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6894583 | European Journal of Operational Research | 2018 | 14 Pages |
Abstract
Pricing anomalies threaten the value of prediction markets as a means of harnessing the 'wisdom of the crowd' to make accurate forecasts. The most persistent and puzzling pricing anomaly associated with price-implied prediction probabilities is the favourite-longshot bias (FLB). We demonstrate that existing models of the FLB fail to capture its full complexity, thereby preventing appropriate adjustments to market forecasts to improve their accuracy. We develop an agent-based model with heterogeneous agents in a fixed-odds market. Our agent-based simulations and comprehensive analysis using market data demonstrate that our model explains real market behaviour, including that of market makers, better than existing theories. Importantly, our results suggest that adequately complex models are necessary to describe complex phenomena such as pricing anomalies. We discuss how our model can be used to better understand the relation between market ecology and mispricing in contexts such as options and prediction markets, consequently enhancing their predictive power.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Valerio Restocchi, Frank McGroarty, Enrico Gerding, Johnnie E.V. Johnson,