Prediction-market platforms are attracting Wall Street's interest, which is expected to deepen professional liquidity and intensify competition. An analysis of $13.76 billion in Polymarket trades revealed that only 3% of accounts, classified as 'persistently skilled,' captured about 27% of dollar profits by effectively reacting to news and exploiting pricing inconsistencies.
However, as more skilled traders enter the market, the efficiency of pricing increases, making it harder for traders to find profitable arbitrage opportunities. Yale economist Theis Jensen noted that the percentage of traders with a competitive edge could drop from 3% to below 1%, suggesting that only the most adept, such as hedge funds, may consistently outperform prediction markets.
Despite this, smaller skilled traders might still find niches where they can excel due to the variety of contracts available. Interestingly, less skilled participants could benefit from improved pricing accuracy, reducing the likelihood of consistent losses from mispricing.
The maturation of these markets may lead to more reliable pricing, making them a more equitable environment for all participants. For the platforms themselves, increased institutional trading could enhance transaction fee revenues and solidify the use of event contracts for hedging and forecasting.
Research from the Federal Reserve indicates that Kalshi's macroeconomic contracts have performed well against traditional forecasting benchmarks, further establishing the credibility of prediction markets in the financial landscape