Why Susquehanna Is Building a Prediction Markets Business
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.
You just read a 3-minute summary of a 28-minute episode.
Get Odd Lots summarized like this every Monday — plus up to 2 more podcasts, free.
Pick Your Podcasts — FreeKeep Reading
More from Odd Lots
The Creator of Claude Code on The Hottest Piece of Software in the World
Jul 20 · 66 min
Pod Save America
1118: Is Trump Afraid of Bad Bunny? (feat. Pablo Torre)
Feb 8
More from Odd Lots
Lev Menand and Nathan Tankus on Why Fed Independence Is Now Hanging by a Thread
Jul 17 · 65 min
Hidden Forces
The Last Bubble? Finding Value in a World on Fire | Jeremy Grantham & Edward Chancellor
Feb 2
More from Odd Lots
We summarize every new episode. Want them in your inbox?
The Creator of Claude Code on The Hottest Piece of Software in the World
Lev Menand and Nathan Tankus on Why Fed Independence Is Now Hanging by a Thread
Why Soccer Analytics Works Like Volatility Arbitrage Trading
NY Governor Kathy Hochul on Her One Year Data Center Moratorium
Why AI Might Actually Create More Work for Lawyers
Similar Episodes
Related episodes from other podcasts
Pod Save America
Feb 8
1118: Is Trump Afraid of Bad Bunny? (feat. Pablo Torre)
Hidden Forces
Feb 2
The Last Bubble? Finding Value in a World on Fire | Jeremy Grantham & Edward Chancellor
Animal Spirits
Jan 28
Hi-Yo Silver! (EP. 449)
The Money Guy Show
Jan 21
Has the Stock Market Hit the Top? | Ask Money Guy
Up First (NPR)
Jul 11
Election Betting on Prediction Markets, Special Education, Breastmilk Storage
Explore Related Topics
This podcast is featured in Best Finance Podcasts (2026) — ranked and reviewed with AI summaries.
Read this week's Investing & Markets Podcast Insights — cross-podcast analysis updated weekly.
You're clearly into Odd Lots.
Every Monday, we deliver AI summaries of the latest episodes from Odd Lots and 192+ other podcasts. Free for one show.
Start My Monday DigestNo credit card · Unsubscribe anytime