Macroscopic Market Making Games

ABSTRACT Building on the macroscopic market making framework as a control problem, this paper investigates its extension to stochastic games. In the context of price competition, each agent is benchmarked against the best quote offered by the others. We begin with the linear case. While constructing the solution directly, the ordering property and the dimension reduction in the equilibrium are revealed. For the nonlinear case, we extend the decoupling approach by introducing a multidimensional characteristic equation to analyze the well‐posedness of the forward–backward stochastic differential equations. Properties of the coefficients in this characteristic equation are derived using tools from nonsmooth analysis. Several new well‐posedness results are presented. Finally, we discuss applications to price impacts and the optimal execution problem.

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Publication Details

Journal
Mathematical Finance
Published
2025-10-11
DOI
https://doi.org/10.1111/mafi.70010
Primary Topic
Complex Systems and Time Series Analysis
Type
article
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article

Macroscopic Market Making Games

Ivan Guo, Shijia Jin
Mathematical Finance
Complex Systems and Time Series Analysis
article

Macroscopic Market Making Games

Ivan Guo, Shijia Jin
article en

Abstract

ABSTRACT Building on the macroscopic market making framework as a control problem, this paper investigates its extension to stochastic games. In the context of price competition, each agent is benchmarked against the best quote offered by the others. We begin with the linear case. While constructing the solution directly, the ordering property and the dimension reduction in the equilibrium are revealed. For the nonlinear case, we extend the decoupling approach by introducing a multidimensional characteristic equation to analyze the well‐posedness of the forward–backward stochastic differential equations. Properties of the coefficients in this characteristic equation are derived using tools from nonsmooth analysis. Several new well‐posedness results are presented. Finally, we discuss applications to price impacts and the optimal execution problem.

Mathematical FinanceVol. 36(2)
Department of Finance (AU), Monash University (AU)
Openalex Percentile: Top 62%
Complex Systems and Time Series Analysis
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Macroscopic Market Making Games — Ivan Guo, Shijia Jin · Mathematical Finance (2025) | TGRS Research Map | TGRS