Why prediction markets are bad at predicting who’ll be president

Abstract

Prediction markets, which use financial incentives to aggregate information and predict future events, have been used in recent years to forecast the outcomes of US presidential elections. The article argues that these markets are inaccurate and vulnerable to manipulation because they are too small, difficult to interact with, and offer limited profit opportunities. It draws a comparison between prediction markets and the stock market, which are larger and more heavily traded, demonstrating how the latter is less susceptible to manipulation. The author points to the case of Mitt Romney in the 2012 election, where one bettor successfully manipulated the market by spending millions of dollars to inflate Romney’s chances. The article concludes that improving prediction markets would require making them more like the stock market by increasing their size and liquidity, lowering trading fees, making transactions more public, and enacting regulations to prevent manipulation. – AI-generated abstract