A CNBC analysis found that over 87% of election markets on platforms like Kalshi and Polymarket predicted the correct candidate with at least a 90% chance of winning their races just before election night. As results began to come in on November 3, trading activity surged, particularly favoring Democrats after early results from Indiana.
Despite the overall success of prediction markets, Koleman Strumpf, an economics professor, noted they did not outperform traditional polling methods. On election night, significant trades occurred, including over $1 million on Kalshi betting on the reelection of Texas Governor Greg Abbott, who ultimately lost to Democrat Gina Hinojosa.
Additionally, more than $1.4 million was traded on the prediction that Republicans would not gain control of the House. Following the elections, both Shayne Coplan, CEO of Polymarket, and Tarek Mansour, CEO of Kalshi, praised prediction markets for their accuracy, although Nate Silver, a political forecaster, argued that traditional forecast models influenced market movements.
He pointed out that prediction market probabilities aligned closely with these models during key races. Furthermore, while prediction market volumes for midterm elections surged, they still lagged behind sports betting volumes. Kalshi reported over $3 billion in total midterm contract volume, while Polymarket reported nearly $700 million.
However, the industry may face challenges ahead, as Senator Adam Schiff criticized the Commodity Futures Trading Commission for allowing sports contracts, suggesting it undermines state laws and tribal sovereignty. This scrutiny could impact the future of prediction markets in the political landscape