Library/Unlocking Liquidity on Prediction Markets
DesignResearch Paper

Unlocking Liquidity on Prediction Markets

William Flanders, Stephen Flanders·May 27, 2026·Twitter
lending against prediction market positions demands a new risk engine where liquidation fails

Why It's Worth Reading

Lattica designs a shortfall-pricing risk engine that enables lending against collateralized prediction market positions, calibrated on Polymarket historical data. Uses Wang-distorted loss distributions within fixed-duration epochs to price lender tail risk where traditional liquidation-based lending fails due to bounded prices and discontinuous repricing. A dual-pool Monte Carlo simulation shows the risk engine pool earning 92.5% annualized return versus -27.2% for a flat-rate baseline.

Extensive technical background assumed

Concepts

Platforms mentioned: Polymarket

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