Centralized systemic risk control in the interbank system: Weak formulation and Gamma-convergence

Lijun Bo, Tongqing Li, Xiang Yu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

This paper studies a systemic risk control problem by the central bank, which dynamically plans monetary supply to stabilize the interbank system with borrowing and lending activities. Facing both heterogeneity among banks and the common noise, the central bank aims to find an optimal strategy to minimize the average distance between log-monetary reserves of all banks and the benchmark of some target steady levels. A weak formulation is adopted, and an optimal randomized control can be obtained in the system with finite banks by applying Ekeland’s variational principle. As the number of banks grows large, we prove the convergence of optimal strategies using the Gamma-convergence argument, which yields an optimal weak control in the mean field model. It is shown that this mean field optimal control is associated to the solution of a stochastic Fokker–Planck–Kolmogorov (FPK) equation, for which the uniqueness of the solution is established under some mild conditions.
Original languageEnglish
Pages (from-to)622-654
Number of pages33
JournalStochastic Processes and their Applications
Volume150
DOIs
Publication statusPublished - Aug 2022

Keywords

  • Gamma-convergence
  • Interbank system
  • Mean field control
  • Stochastic FPK equation
  • Weak formulation

ASJC Scopus subject areas

  • Statistics and Probability
  • Modelling and Simulation
  • Applied Mathematics

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