I just noticed something quite interesting — the Fed is starting to pay attention to data from prediction market platforms like Kalshi to support monetary policy decision-making.

Specifically, a group of researchers from the Federal Reserve System published their findings in February. Among them, Fed Chief Economist Anthony Diercks, along with researchers like Jared Dean Katz and Jonathan Wright from Johns Hopkins, pointed out that Kalshi’s data provides continuously updated probability distributions, reflecting macroeconomic expectations much faster than traditional surveys.

The interesting part is that these researchers discovered that data from Kalshi reacts very quickly — immediately after the Fed announces policy statements or releases new economic data, these prediction market updates occur. This helps the Fed gain deeper insight into the risk-neutral probabilities of interest rate decisions and other macroeconomic indicators.

Of course, the researchers also clarified that their paper is an internal discussion document, not an official Fed position. But this still shows that the Fed is increasingly expanding its data sources to better understand the market and investor sentiment.