Modeling and Stabilizing Financial Systemic Risk Using Optimal Control Theory
Jiacheng Wu

TL;DR
This paper develops a control-theoretic model to analyze and stabilize systemic financial risk propagation, providing a mathematical framework for policymakers to mitigate financial crises.
Contribution
It introduces a novel control-based approach using optimal control theory and stability analysis for systemic risk management in financial networks.
Findings
Derived a stabilizing controller via Riccati equation for linearized system
Proved existence and stability of solutions for the nonlinear system
Ensured controllers keep the system's H-infinity norm below a threshold
Abstract
A theoretical model of systemic-risk propagation of financial market is analyzed for stability. The state equation is an unsteady diffusion equation with a nonlinear logistic growth term, where the diffusion process captures the spread of default stress between interconnected financial entities and the reaction term captures the local procyclicality of financial stress. The stabilizing controller synthesis includes three steps: First, the algebraic Riccati equation is derived for the linearized system equation, the solution of which provides an exponentially stabilizing controller. Second, the nonlinear system is treated as a linear system with the nonlinear term as its forcing term. Based on estimation of the solutions for linearized equations and the contraction mapping theorem, unique existence of the solution for the nonlinear system equation is proved. Third, local asymptotic…
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Taxonomy
TopicsStochastic processes and financial applications · Chaos control and synchronization · Stability and Controllability of Differential Equations
