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Why Susquehanna Is Building a Prediction Markets Business

31 min episode · 2 min read
·
Jeremy Malitz

Episode

31 min

Read time

2 min

Topics

Productivity, Investing, Startups

AI-Generated Summary

Key Takeaways

  • Institutional liquidity gap: Low on-platform volume figures — sometimes just $100,000–$150,000 traded — do not reflect actual available institutional capacity. Susquehanna will commit tens of millions of dollars in risk on a single contract regardless of printed volume, because prediction markets function primarily as price discovery mechanisms, not liquidity pools, making small-volume prices still reliable enough to trade against.
  • Speed-to-market advantage: Traditional futures listings take roughly one year to complete through exchanges like CME. Prediction market platforms can list a new contract within a single day. This compression makes prediction markets viable for hedging fast-moving, idiosyncratic risks — such as tariff exposure for a musical instrument importer — that conventional derivatives markets cannot address quickly enough.
  • Off-platform block trades: Institutional hedging trades can be structured as over-the-counter swaps that reference prediction market pricing data without appearing in on-platform volume statistics. Corporations seeking to hedge specific risks — regulatory changes, geopolitical events, commodity disruptions — can transact directly with Susquehanna through brokers, banks, or insurers acting as intermediaries.
  • Insider trading detection is easier in prediction markets: Unlike equities, where countless legitimate reasons exist to buy a stock, prediction market contracts have narrow, specific outcomes. Unusual directional flow on a contract like a specific political leadership change is far more conspicuous, making suspicious activity easier to identify and report. Regulated platforms with KYC requirements add a further structural deterrent absent from DeFi alternatives.
  • Market selection discipline: Susquehanna avoids "mentionables" — contracts that resolve based on whether specific words are spoken on podcasts or broadcasts — and any market where outcomes can be directly manipulated by participants. Focusing exclusively on regulated platforms with KYC, and on contracts tied to verifiable real-world events, reduces manipulation risk and protects institutional reputation when committing large capital positions.

What It Covers

Jeremy Maletz, head of prediction markets at Susquehanna International Group, explains how the firm is acting as a liquidity bootstrapper for institutional adoption of prediction markets, moving beyond sports betting toward economically meaningful hedging instruments for corporations and financial institutions.

Key Questions Answered

  • Institutional liquidity gap: Low on-platform volume figures — sometimes just $100,000–$150,000 traded — do not reflect actual available institutional capacity. Susquehanna will commit tens of millions of dollars in risk on a single contract regardless of printed volume, because prediction markets function primarily as price discovery mechanisms, not liquidity pools, making small-volume prices still reliable enough to trade against.
  • Speed-to-market advantage: Traditional futures listings take roughly one year to complete through exchanges like CME. Prediction market platforms can list a new contract within a single day. This compression makes prediction markets viable for hedging fast-moving, idiosyncratic risks — such as tariff exposure for a musical instrument importer — that conventional derivatives markets cannot address quickly enough.
  • Off-platform block trades: Institutional hedging trades can be structured as over-the-counter swaps that reference prediction market pricing data without appearing in on-platform volume statistics. Corporations seeking to hedge specific risks — regulatory changes, geopolitical events, commodity disruptions — can transact directly with Susquehanna through brokers, banks, or insurers acting as intermediaries.
  • Insider trading detection is easier in prediction markets: Unlike equities, where countless legitimate reasons exist to buy a stock, prediction market contracts have narrow, specific outcomes. Unusual directional flow on a contract like a specific political leadership change is far more conspicuous, making suspicious activity easier to identify and report. Regulated platforms with KYC requirements add a further structural deterrent absent from DeFi alternatives.
  • Market selection discipline: Susquehanna avoids "mentionables" — contracts that resolve based on whether specific words are spoken on podcasts or broadcasts — and any market where outcomes can be directly manipulated by participants. Focusing exclusively on regulated platforms with KYC, and on contracts tied to verifiable real-world events, reduces manipulation risk and protects institutional reputation when committing large capital positions.

Notable Moment

Maletz recounted attempting to list a futures contract to help a musical instrument company hedge China tariff exposure during the first trade war. The listing process through a traditional exchange took nearly a year and ultimately failed — the same product could now launch on a prediction market platform within a single day.

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