TREE NEWS reports: Tiger Research said prediction markets now provide real-time probability data that matches or beats traditional polls and expert surveys, citing adoption by Google Finance, CNBC, CNN, The Wall Street Journal, ICE and Tradeweb. A Federal Reserve working paper found Kalshi’s federal funds rate forecasts were perfect the day before FOMC meetings, outperforming fed funds futures, while an analysis of Limitless data showed 9 of 10 price buckets calibrated within 4 percentage points.
Tiger Research: Prediction Markets Rival Polls as Macro Data Source
The notable shift here is institutional legitimization: prediction markets are being cited not by crypto outlets but by mainstream financial media and market infrastructure like ICE and Tradeweb, which changes who treats these prices as signal rather than novelty. The Fed working paper comparison against fed funds futures is the sharper claim, since it puts prediction markets in direct competition with an established benchmark. The open question is whether calibration holds across thinner, less liquid contracts and venues beyond the ones studied.
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