Mean-field game of mean-variance portfolio management with peer-based relative risk aversion

📅 2026-05-25
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🤖 AI Summary
This study addresses time-inconsistent mean-field games arising in the mean-variance portfolio selection problem due to piecewise risk aversion driven by an agent’s relative wealth position within a peer group. The work innovatively introduces a peer-comparison-based mechanism for piecewise risk aversion, leading to a time-inconsistent mean-field game model with discontinuous coefficients. To handle the resulting discontinuities, the authors employ smooth regularization techniques and combine forward–backward stochastic differential equations (FBSDEs), fixed-point arguments, and convergence analysis to establish the existence of solutions to high-dimensional FBSDE systems. This approach further yields the existence of both an individual’s intra-personal equilibrium and the global mean-field equilibrium, thereby providing a rigorous theoretical foundation for dynamic portfolio optimization incorporating behavioral factors.
📝 Abstract
This paper investigates a mean-field game (MFG) problem for mean-variance (MV) portfolio management, highlighting a new type of relative performance encoded by the peer-based risk aversion. Specifically, the risk aversion is formulated as a piecewise form that depends on whether the individual's wealth is above or below the population average. Due to the inherent time-inconsistency in the MV criterion, together with the piecewise risk aversion, we encounter a class of time-inconsistent MFG, new to the literature. Our goal is to seek a mean-field equilibrium, characterized by a forward-backward stochastic differential equation (FBSDE) system and a mean-field consistency condition. The new challenge stems from the discontinuous coefficients induced by the piecewise risk aversion. In response, we first propose a smooth regularization technique and obtain the existence of the equilibrium in the intra-personal game for the representative agent by establishing the solution to the discontinuous multi-dimensional FBSDE. Next, by invoking fixed-point arguments and convergence analysis as smoothing regularization vanishes, we conclude the existence of the mean-field equilibrium in the time-inconsistent MFG.
Problem

Research questions and friction points this paper is trying to address.

mean-field game
mean-variance portfolio
relative risk aversion
time-inconsistency
piecewise risk aversion
Innovation

Methods, ideas, or system contributions that make the work stand out.

mean-field game
time-inconsistent control
piecewise risk aversion
forward-backward SDE
smooth regularization