Kalshi has launched Kalshi Research, a new division designed to support academic work on prediction markets.
The company said in a press release that Kalshi Research, which positions the company as both a commercial operator and a data provider for scholarly study, is modelled after research initiatives at major artificial intelligence firms.
The unit will grant approved researchers access to anonymised internal platform data, which Kalshi describes as the largest and most comprehensive dataset in the prediction markets sector.
The company is also organising the first Prediction Market Conference, intended to convene researchers, traders, forecasters, and community participants to present empirical findings and methodological advances in the field.
Alongside the launch, Kalshi released its first internally produced study, examining the accuracy of its inflation forecasts relative to Wall Street consensus estimates.
According to the analysis, Kalshi forecasts outperformed traditional benchmarks by roughly 40% across varying market conditions and matched or exceeded consensus expectations on 85% of inflation readings when measured one week in advance.
The study also highlighted what Kalshi labeled “shock alpha,” finding that its forecasts were substantially more accurate during periods of heightened volatility, when market expectations diverged sharply from eventual outcomes.
Academics from institutions including Harvard, Stanford, Yale, and the University of Chicago have agreed to collaborate with Kalshi Research, and calls for abstracts and conference registration have opened to the public.
AGA, tribes lobby against Kalshi
Kalshi’s new research initiative unfolds against a backdrop of escalating legal scrutiny that continues to shape the company’s operating environment.
In ongoing federal litigation, Kalshi is challenging state-level efforts to restrict its sports-related event contracts, arguing that its products fall under federal commodities law rather than traditional gambling statutes.
That position has drawn opposition from tribal governments, state regulators, and industry groups, who contend that Kalshi’s interpretation would undermine long-standing state and tribal authority over gaming.
In filings before the US Court of Appeals for the Fourth Circuit, amici representing tribal interests and the American Gaming Association have argued that Kalshi’s approach circumvents established regulatory frameworks.
They argue that the model would effectively bypass the Indian Gaming Regulatory Act and established state licensing regimes, shifting sports wagering oversight to the Commodity Futures Trading Commission without explicit congressional authorisation.
While Kalshi is investing in academic credibility and empirical validation of prediction markets as forecasting tools, courts are simultaneously weighing whether the company’s business model fits within existing legal frameworks.
The outcome of that conundrum may ultimately determine how far Kalshi Research’s ambitions can extend beyond scholarship into broader market adoption.