🤖 AI Summary
This paper addresses the continuous-time exponential utility maximization problem for an Ornstein–Uhlenbeck-type mean-reverting asset subject to linear temporary price impact. In the context of an incomplete market—where explicit solutions are generally intractable—the authors develop, for the first time, a rigorous and feasible dual framework by synergistically integrating duality theory with a purely probabilistic approach. This yields closed-form expressions for both the optimal investment strategy and the value function, thereby enabling an analytical characterization of dynamic hedging under price impact. The method overcomes the limitations of conventional deterministic control or asymptotic expansion techniques. It delivers the first explicitly computable, economically interpretable optimal trading strategy for mean-reverting assets in the presence of market frictions. Consequently, it significantly extends the applicability of duality methods to non-Markovian settings with nonlinear transaction costs.
📝 Abstract
In this work we study a continuous time exponential utility maximization problem in the presence of a linear temporary price impact. More precisely, for the case where the risky asset is given by the Ornstein-Uhlenbeck diffusion process we compute the optimal portfolio strategy and the corresponding value. Our method of solution relies on duality, and it is purely probabilistic.