Kalshi CEO: The Potential Market Size for Institutional Risk Transfer Block Trades Could Reach $10-15 Trillion

Odaily Odaily Planet Daily News In response to the first customized commodity trade completed on the Kalshi platform, Kalshi CEO Tarek Mansour posted on X platform, "Historically, the bottleneck for institutional risk transfer has been liquidity. The bottleneck for liquidity is the lack of price benchmarks for each type of relevant risk (e.g., WTI for oil). Kalshi has built a large community of top global superforecasters who rank among the world's best at pricing risk. This allows us to create price benchmarks for a broader range of issues faced by people and institutions. Institutions have already begun adopting these price benchmarks by integrating them into traditional asset pricing models. Although work remains, we are seeing rapid expansion in data use cases and integration."

"The next phase is utilizing these price benchmarks to transfer risk via block trades and requests for quote (RFQ). This phase is still in its early stages but is beginning to take shape. The market size for risk transfer of non-traditional financial instruments is difficult to estimate. The closest references are the reinsurance market and the derivatives desks of banks: reinsurance is approximately $700 billion; insurance-linked securities and parametric insurance (such as catastrophe bonds) are around $120-135 billion; bank derivatives (structured products, dealer-to-dealer, exotics, etc.) are about $200-400 billion. The current market is roughly $1-1.5 trillion, but most of it is illiquid and traded over-the-counter (OTC, i.e., with a single counterparty). Whenever a major OTC market moves to exchange trading, the market grows significantly due to the establishment of price benchmarks, narrowing bid-ask spreads, the end of Wall Street elite's monopoly on access, and the entry of new participants. For example, interest rate swaps grew 10-15 times, stock options grew 20-30 times, and energy derivatives grew 5-8 times. The institutional use case for prediction markets could form a $10-15 trillion market, with even greater upside potential, depending on the extent to which it democratizes products currently exclusive to Wall Street."