Federal Reserve researchers published a paper analyzing Kalshi prediction markets and assessed their relevance for policymakers and researchers. The paper reports that Kalshi forecasts for the federal funds rate and the U.S. Consumer Price Index provide statistically significant improvements over fed funds futures and professional forecasters, while offering continuously updated full probability distributions rather than infrequent point estimates. The markets cover economics, politics and sports and provide live, real-time data.
Federal Reserve researchers reported that Kalshi prediction markets offer continuously updated full distributions and “provide unique insights — particularly for variables like gross domestic product growth, core inflation, unemployment and payrolls, for which no other market-based distributions currently exist.” The markets cover topics in economics, politics and sports and provide live, real-time data. Retail participants are identified as a distinguishing feature from institutionally dominated markets.
Kalshi predictions are reported to have “perfectly matched the realized federal funds rate by the day of each meeting since 2022, a feat not achieved by either surveys or futures.” The paper states that “Kalshi’s forecasts for the federal funds rate and [the U.S. Consumer Price Index] provide statistically significant improvements over fed funds futures and professional forecasters, all while providing continuously updated full distributions rather than infrequent point estimates.” The paper contrasts Kalshi’s continuously updated full distributions with infrequent point estimates used elsewhere. The findings emphasize the availability of market-based distributions for economic variables that lack other market-based distribution data.
Kalshi prediction markets cover economic, political and sports topics and provide live, real-time data. The platform’s markets use yes-no contracts and supply continuously updated full distributions rather than infrequent point estimates. Retail participants help distinguish prediction markets from institutionally dominated markets, and the markets are noted for offering market-based distribution data where other markets do not.
The Federal Reserve paper was reported in connection with Kalshi and the Fed’s analysis, and Fed researchers studied Kalshi and praised prediction markets as a tool for policymakers and researchers. The paper states that Kalshi’s forecasts for the federal funds rate and the U.S. Consumer Price Index provide statistically significant improvements over fed funds futures and professional forecasters. The paper also highlights that prediction markets “provide unique insights — particularly for variables like [gross domestic product] growth, core inflation, unemployment and payrolls, for which no other market-based distributions currently exist.”
Minneapolis Fed president Neel Kashkari described crypto as ‘utterly useless’ and stablecoins as ‘buzzword salad’, as noted in the article. The article links Kalshi market characteristics with the Fed analysis and records these related comments. The reporting presents these items without additional editorial commentary.
Federal Reserve researchers recognized Kalshi prediction markets as valuable tools for policymakers and researchers, noting their provision of market-based distributions for a broad set of economic forecasts including GDP growth, core inflation, unemployment and payrolls. The research also observed Kalshi’s continuously updated probability distributions and that retail participants help distinguish the platform’s market dynamics from institutionally dominated venues.
