Optimal Adaptive Market Making: A Theoretical Framework for High-Yield Liquidity Provision in Perpetual Futures Markets

arXiv:2607.11888v1 introduces the first rigorous stochastic optimal control framework for market making in zero-maker-fee perpetual futures markets, deriving a decomposable PnL structure, the HJB equation under CARA utility with verification theorem, and a Master APY Formula characterizing profitable regimes via five dimensionless parameters.
Core Contribution: Rigor Meets Quantitative Actionability
This paper (arXiv:2607.11888v1) establishes the first rigorous optimal market making framework for zero-maker-fee perpetual futures markets, formulating the market maker’s problem as a stochastic optimal control problem on a filtered probability space, with controls being adaptive bid-ask spreads and cross-exchange inventory hedging decisions.
Key Technical Results
- PnL Decomposition Theorem: Profit-and-loss is rigorously decomposed into five components — spread income, adverse selection loss, inventory carrying cost, hedging friction, and funding rate exposure;
- HJB Equation & Verification Theorem: Derives the Hamilton-Jacobi-Bellman equation for the joint spread-inventory-hedging control problem under Constant Absolute Risk Aversion (CARA) utility, accompanied by a full verification theorem;
- High-APY Regime Characterization: Introduces High-APY Regime Theorems that define profitable regions using five dimensionless parameters (e.g., relative volatility ratio, funding rate Sharpe ratio, hedging latency factor), culminating in a closed-form Master APY Formula;
- Zero-Fee Economics Analysis: First systematic analysis of optimal entry-exit thresholds for liquidity provision on decentralized perpetual exchanges operating with zero maker fees;
- Cross-Exchange Hedging Policies: Integrates dynamic funding rate modeling and proposes a hedge regime trichotomy—distinguishing arbitrage-dominated, risk-hedging-dominated, and liquidity-capture-dominated regimes;
- Robustness Margin: Quantifies parameter uncertainty tolerance via a formally defined robustness margin;
- Tail-Risk Control: Provides exponential drawdown probability bounds and a universal AP (asset pricing) approximation.