New Study Reveals That Only a Small Group of Informed Traders Drive Prediction Market Accuracy

A recent scandal involving a Green Beret accused of betting on a classified US raid may be more than an isolated incident, according to a new study. The research, conducted by scholars from London Business School and Yale, indicates that a tiny percentage of informed traders are responsible for driving market accuracy on platforms like Polymarket, while the majority of participants incur losses. The study analyzed over 1.7 million accounts and $13.76 billion in trading volume, revealing that just 3% of traders account for most price discovery, consistently predicting outcomes and moving prices in the right direction. In contrast, the remaining 97% of traders primarily provide liquidity and generate volume, but tend to be on the losing side of trades against the informed minority. To distinguish between skill and luck, the researchers simulated each trader's bets 10,000 times, finding that only 12% of the biggest winners demonstrated genuine skill, while many others were simply lucky. The study's findings have significant implications for the functioning of prediction markets, suggesting that their accuracy is driven by a small group of informed traders rather than the collective wisdom of the crowd.