Key Highlights
- Investment bank Cantor Fitzgerald opens Kalshi’s prediction markets to 3,000 institutional clients
- Cantor serves as intermediary broker for arranging large-volume block transactions on event contracts
- Susquehanna International Group commits to supplying market pricing and liquidity support
- Institutional investors showing appetite for contracts linked to iPhone shipments and artificial intelligence infrastructure
- Kalshi continues institutional expansion efforts following its inaugural block trade completion this year
Investment banking firm Cantor Fitzgerald has revealed a strategic initiative to connect approximately 3,000 institutional investors with trading opportunities on Kalshi’s prediction market platform. The firm will function as an intermediary broker, facilitating the arrangement and completion of substantial block transactions in event-based contracts.
Market-making responsibilities will fall to Susquehanna International Group, which serves as Kalshi’s primary liquidity provider and will supply pricing for these institutional trades. This collaboration positions Cantor among the pioneering full-service investment banks delivering such capabilities on an exchange regulated by the Commodity Futures Trading Commission.
Event-based prediction markets enable traders to purchase and sell binary contracts linked to forthcoming real-world outcomes. Contract subjects span diverse categories including meteorological predictions, raw material valuations, and quarterly corporate performance metrics.
According to Pascal Bandelier, who holds dual roles as co-CEO and global equities chief at Cantor, appetite among institutional players is substantial. “The investor base that we’ve met has been really keen on entering and participating in the prediction markets,” Bandelier remarked.
Institutional Focus Shifts to Event-Based Contracts
Major hedge funds are gravitating toward contracts centered on iPhone unit sales volumes instead of traditional equity positions in Apple. Family office investors are similarly investigating event contracts as hedging instruments for exposure to meteorological risks and agricultural commodities including harvest yields and petroleum pricing, Bandelier noted.
Joe Grubb, who directs business development at Susquehanna Predictions, highlighted additional applications encompassing risks associated with AI infrastructure networks and computational capacity pricing.
The institutional offering includes customization capabilities, allowing clients to request bespoke markets. Kalshi and its collaborators have already initiated preliminary conversations with investors regarding desired contract specifications.
Building Infrastructure for Institutional Participation
Earlier this year, Kalshi executed its inaugural institutional block transaction—a specialized contract pegged to California’s carbon credit allowances that was custom-designed for that specific deal. The platform has also formed an alliance with Interactive Brokers, a trading interface widely adopted by professional money managers and hedge fund operators.
Max Crowley, serving as vice president of business development at Kalshi, emphasized the evident institutional appetite. “We get a lot of questions of, I do want to hedge specific event risk, but I don’t know how to do it,” Crowley explained.
Historically, prediction markets have catered predominantly to retail participants, with substantial trading activity concentrated in electoral contests and athletic competitions. Kalshi has been actively pursuing diversification beyond these traditional categories.
Bandelier elaborated on Cantor’s perspective: “Prediction markets are growing rapidly, but institutional participation has not kept pace because investors have lacked the ability to transact at scale on a regulated exchange. The liquidity is here.”
This development represents an evolution in Wall Street’s perception of prediction markets, repositioning them from speculative wagering vehicles into legitimate trading instruments and risk mitigation tools.
Grubb projected: “We believe the next area of material growth for prediction markets will be large institutional risk transfer.”
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