ME, MYSELF AND I: A GENERAL THEORY OF NON-MARKOVIAN TIME-INCONSISTENT STOCHASTIC CONTROL FOR SOPHISTICATED AGENTS

• 成果类型: Article
• 署名作者: Hernandez, Camilo; Possamai, Dylan
• 署名单位: Imperial College London; Swiss Federal Institutes of Technology Domain; ETH Zurich
• 刊物名称: ANNALS OF APPLIED PROBABILITY
• ISSN/ISSBN: 1050-5164
• DOI: 10.1214/22-AAP1845
• 发表日期: 2023
• 页码: 1196-1258
• 关键词: equilibrium

摘要

We develop a theory for continuous-time non-Markovian stochastic con-trol problems which are inherently time-inconsistent. Their distinguishing feature is that the classical Bellman optimality principle no longer holds. Our formulation is cast within the framework of a controlled non-Markovian for-ward stochastic differential equation, and a general objective functional set-ting. We adopt a game-theoretic approach to study such problems, meaning that we seek for subgame perfect Nash equilibrium points. As a first novelty of this work, we introduce and motivate a refinement of the definition of equi-librium that allows us to establish a direct and rigorous proof of an extended dynamic programming principle, in the same spirit as in the classical theory. This in turn allows us to introduce a system consisting of an infinite family of backward stochastic differential equations analogous to the classical HJB equation. We prove that this system is fundamental, in the sense that its well-posedness is both necessary and sufficient to characterise the value function and equilibria. As a final step, we provide an existence and uniqueness result. Some examples and extensions of our results are also presented.