Kalshi CEO: Potential market size for institutional risk transfer block trades could reach $10-15 trillion

Regarding the first customized commodity trade recently completed on the Kalshi platform, Kalshi CEO Tarek Mansour stated in an article on the X platform, “Historically, the bottleneck for institutional risk transfer has been liquidity. The liquidity bottleneck stems from the lack of price benchmarks for each type of related risk (e.g., WTI oil). Kalshi has built a large community of top global forecasters who are among the world's leading experts in risk pricing. This allows us to provide price benchmarks for a wider range of issues faced by individuals and institutions. Institutions have begun to adopt these benchmarks by incorporating them into traditional asset pricing models. While there is still work to be done, we are seeing data use cases and integrations expand rapidly. The next phase is leveraging price benchmarks to transfer risk through block trades and Request for Quotation (RFQ). This phase is still early but is beginning to take shape. The market size for risk transfer in non-traditional financial instruments is difficult to estimate. The closest references are the reinsurance market and the derivatives divisions of banks: reinsurance is approximately $700 billion; insurance-linked securities and parametric insurance (such as catastrophe bonds) are approximately $1200-1350 billion.” $100 billion; bank derivatives (structured products, dealer-to-dealer, exotics, etc.) are approximately $200-400 billion. The current market is approximately $1-1.5 trillion, but most of it is illiquid and over-the-counter (OTC, i.e., trading with a single counterparty). Whenever major OTC markets shift to exchange trading, the market grows significantly due to the establishment of price benchmarks, narrowing bid-ask spreads, the end of Wall Street elites' monopoly on access, and the entry of new participants. Interest rate swaps grow 10-15 times, stock options grow 20-30 times, and energy derivatives grow 5-8 times. Institutional use cases for prediction markets could create a $10-15 trillion market, with even greater upside potential, depending on the degree to which they democratize products currently limited to Wall Street.