Kalshi Research Launches to Enhance Forecasting Accuracy

By Patricia Miller

Dec 22, 2025

2 min read

Kalshi Research aims to enhance academic forecasting with proprietary data and has unveiled findings that outperform Wall Street by 40%.

#How is Kalshi Research Supporting Academic Forecasting?

Kalshi Research has been established with the goal of enhancing academic understanding of forecasting markets. This new division offers researchers access to its proprietary internal data, which is considered the largest collection of regulated prediction market data in the world. By positioning itself akin to research institutions like OpenAI and Anthropic, Kalshi aims to facilitate academic study in this field where predicting outcomes is essential.

Alongside this initiative, Kalshi has introduced the inaugural Prediction Market Conference designed to connect a diverse group of stakeholders. Academics, traders, forecasters, and policymakers will converge to discuss and explore insightful findings that emerge from prediction markets.

#What Do Kalshi's Inflation Market Forecasts Reveal?

In conjunction with the launch of Kalshi Research, the company released its first internal study evaluating its inflation market forecasts against the Wall Street consensus. The findings were significant. Kalshi's predictions surpassed traditional economic forecasts by an impressive 40 percent. The analysis showed that the company's forecasts accurately matched or exceeded consensus predictions in 85 percent of inflation reports released one week in advance. Notably, during periods marked by economic surprises, Kalshi forecasts achieved a 50 percent reduction in mean absolute error, signaling their reliability even in volatile market conditions.

This initiative has attracted participation from renowned researchers associated with leading universities, including Harvard, Stanford, Yale, and the University of Chicago. To bolster collaboration and idea sharing, Kalshi has opened calls for papers and conference registration to the public, fostering a wider dialogue in the academic community about the implications and potential applications of prediction markets.

Important Notice And Disclaimer

This article does not provide any financial advice and is not a recommendation to deal in any securities or product. Investments may fall in value and an investor may lose some or all of their investment. Past performance is not an indicator of future performance.