On time-inconsistent extended mean-field control problems with common noise
Zongxia Liang, Xiang Yu, Keyu Zhang

TL;DR
This paper develops a framework for analyzing time-inconsistent mean-field control problems with common noise, characterizing equilibrium strategies via advanced PDEs and applying results to financial models.
Contribution
It introduces a novel approach to characterize time-consistent equilibria in extended mean-field control problems with common noise, including LQ and non-LQ cases.
Findings
Existence of time-consistent equilibria in LQ mean-field control problems.
Characterization of equilibrium strategies via Hamilton-Jacobi-Bellman equations on Wasserstein space.
Application to financial models demonstrating practical relevance.
Abstract
This paper studies a class of time-inconsistent mean field control (MFC) problems in the presence of common noise under non-exponential discount and joint law dependence of both state and control. We investigate the closed-loop time-consistent equilibrium strategies for these extended MFC problems and characterize them through an equilibrium Hamilton-Jacobi-Bellman (HJB) equation defined on the Wasserstein space. We first apply the results to the linear-quadratic (LQ) time-inconsistent MFC problems and obtain the existence of time-consistent equilibria via a comprehensive study of a nonlocal Riccati system. To illustrate the theoretical findings, two financial applications are presented. We then examine a class of non-LQ time-inconsistent MFC problems, for which we contribute the existence of time-consistent equilibria by analyzing a nonlocal nonlinear partial differential equation.
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Taxonomy
TopicsStochastic processes and financial applications · Reservoir Engineering and Simulation Methods
