Wagering on the outcome of sporting events, one of the oldest and largest prediction markets. Its odds aggregation and pricing dynamics offer lessons for how event markets handle information, liquidity, and crowd behavior.
Cluster: Business & Platforms
Wagering on the outcome of sporting events, one of the oldest and largest prediction markets. Its odds aggregation and pricing dynamics offer lessons for how event markets handle information, liquidity, and crowd behavior.
Referenced in 2 articles
Traces prediction markets from Renaissance papal betting through the 2024 election boom, and explains why early attempts like Intrade and Augur failed while Kalshi and Polymarket finally broke through. Covers the saver, gambler, and sharp participant problem at the core of prediction market design, and sketches where the industry is headed: bespoke hedging, perpetual and combinatorial markets, and AI agents.
Mauboussin and Callahan review the wisdom of crowds across prediction markets, sports betting markets, parimutuel betting markets, and the stock market, covering each market's history, accuracy, information aggregation mechanism, and failure modes. The key distinction: the three betting markets are zero-sum before costs, while the stock market has positive expected returns over time. Uses the framework to explain why markets efficiently capture known information and where diversity breakdowns create opportunities for excess returns.