Kalshi Contracts Provide High-Frequency Macroeconomic Data
In a working paper published in October 2026, researchers Eric T. Swanson, Wang Renxuan, and Yanbin Wu at NBER utilized high-frequency data from Kalshi to measure how Federal Reserve interest rate changes impact macroeconomic expectations. The study, titled "The Effects of Monetary Policy on Macroeconomic Expectations: High-Frequency Evidence from Prediction Markets," leverages event contracts traded on the CFTC-licensed exchange to isolate the immediate effects of monetary policy announcements.
The authors sought to address a puzzle in economic forecasting: while standard macroeconomic models predict that output, employment, and inflation should fall when the Fed raises interest rates, monthly revisions from professional forecasters sometimes show a positive correlation with rate hikes. By analyzing Kalshi's market-implied macroeconomic expectations, the researchers concluded that the data aligns with standard transmission channels from monetary policy to the broader economy. Crucially, they found little to no role for a "Fed Information Effect" driving these puzzling correlations.
Prediction Markets as Real-Time Indicators
The integration of prediction market data into formal economic research highlights the growing institutional reliance on platforms like Kalshi. For researchers and algorithmic traders looking to parse this type of high-frequency data, utilizing prediction markets with API access has become increasingly essential. Furthermore, understanding the structural differences in how these exchanges resolve contracts is critical, a dynamic often explored in Kalshi vs. Polymarket comparisons.
Beyond macroeconomic indicators, prediction markets are currently facing a major accuracy test with the upcoming U.S. elections. According to a November 2 report by Dustin Gouker at The Event Horizon, prediction markets are currently pricing Democrats as a "decent favorite" to take control of both the House and the Senate. Gouker noted that the industry has recently shifted its messaging from claiming to be a "crystal ball" to emphasizing that odds represent "just probabilities," particularly as platforms face scrutiny over their predictive power compared to traditional polling.