Kalshi Prediction Markets Match or Beat Traditional Forecasting Tools For Macro Indicators, NBER Study Finds

A new NBER working paper from researchers at the Federal Reserve, Northwestern's Kellogg School and Johns Hopkins finds that Kalshi -- the largest federally regulated prediction market in the U.S., overseen by the CFTC -- produces macroeconomic forecasts that match or beat those of professional forecasters and traditional financial instruments like fed funds futures. The study compared Kalshi-implied forecasts for the federal funds rate, CPI inflation and unemployment against the New York Fed's Survey of Market Expectations and Bloomberg consensus. Kalshi's modal forecast correctly predicted the federal funds rate on the day before every FOMC meeting since 2022, something neither the survey nor fed funds futures achieved. For headline CPI, Kalshi's median and mode produced a statistically significant improvement over Bloomberg consensus. Kalshi also fills a gap no other financial market covers: real-time probability distributions for GDP growth, core CPI, unemployment, and payrolls. The paper documented how these distributions shift in response to macro news -- positive CPI surprises moved the mean of the fed funds rate distribution four times more than negative ones. Trading volumes on the platform have grown to nearly 100 million contracts for a single FOMC meeting, supported by liquidity from Susquehanna, Citadel, and Two Sigma.

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