On Time‐Inconsistency in Mean‐Field Games

ABSTRACT We investigate an infinite‐horizon time‐inconsistent mean‐field game (MFG) in a discrete time setting. We first present a classic equilibrium for the MFG and its associated existence result. This classic equilibrium aligns with the conventional equilibrium concept studied in MFG literature when the context is time‐consistent. Then we demonstrate that while this equilibrium produces an approximate optimal strategy when applied to the related ‐agent games, it does so solely in a precommitment sense. Therefore, it cannot function as a genuinely approximate equilibrium strategy from the perspective of a sophisticated agent within the ‐agent game. To address this limitation, we propose a new consistent equilibrium concept in both the MFG and the ‐agent game. We show that a consistent equilibrium in the MFG can indeed function as an approximate consistent equilibrium in the ‐agent game. Additionally, we analyze the convergence of consistent equilibria for ‐agent games toward a consistent MFG equilibrium as tends to infinity.

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Publication Details

Journal
Mathematical Finance
Published
2024-12-18
DOI
https://doi.org/10.1111/mafi.12456
Primary Topic
Economic theories and models
Type
article
Field-Weighted Citation Impact
0.00

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article

On Time‐Inconsistency in Mean‐Field Games

Erhan Bayraktar, Zhenhua Wang
Mathematical Finance
Economic theories and models
article

On Time‐Inconsistency in Mean‐Field Games

Erhan Bayraktar, Zhenhua Wang
article en

Abstract

ABSTRACT We investigate an infinite‐horizon time‐inconsistent mean‐field game (MFG) in a discrete time setting. We first present a classic equilibrium for the MFG and its associated existence result. This classic equilibrium aligns with the conventional equilibrium concept studied in MFG literature when the context is time‐consistent. Then we demonstrate that while this equilibrium produces an approximate optimal strategy when applied to the related ‐agent games, it does so solely in a precommitment sense. Therefore, it cannot function as a genuinely approximate equilibrium strategy from the perspective of a sophisticated agent within the ‐agent game. To address this limitation, we propose a new consistent equilibrium concept in both the MFG and the ‐agent game. We show that a consistent equilibrium in the MFG can indeed function as an approximate consistent equilibrium in the ‐agent game. Additionally, we analyze the convergence of consistent equilibria for ‐agent games toward a consistent MFG equilibrium as tends to infinity.

Mathematical FinanceVol. 35(3)
Shandong University (CN), University of Michigan (US), China Institute of Finance and Capital Markets (CN)
National Science Foundation
Openalex Percentile: Top 71%
Economic theories and models
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On Time‐Inconsistency in Mean‐Field Games — Erhan Bayraktar, Zhenhua Wang · Mathematical Finance (2024) | TGRS Research Map | TGRS