Researchers have developed a new stochastic control framework for optimal market making in prediction markets.
The model accounts for binary settlement, inventory risk, and price dynamics, and derives optimal quoting strategies using advanced mathematical techniques.
Numerical analysis shows the strategy reduces downside risk while maintaining most expected profit, potentially improving liquidity and efficiency in prediction markets.