Finite-time stability and optimal control for stochastic credit risk contagion model with sentiment
Year: 2022
Type: preprint
Abstract: Counterparty sentiment and major uncertain factors always affect credit risk contagion in credit risk transfer (CRT) market. In order to effectively analyze credit risk contagion, this paper proposes a stochastic credit risk contagion model considering sentiments, in which the stochasticity is driven by Lévy process. Based on the Lyapunov function method, sufficient condition of finite-time stability is derived. The impacts of counterparty sentiment and Lévy process on credit risk contagion are analyzed. To effectively control credit risk contagion, the stochastic credit risk control model is established, and the optimal control strategy is given by using Pontryagin’s maximum principle. Numerical simulating results show the correctness and effectiveness of the theory.
Authors: Yan Shao, Ting Li, Weiguo Zhang, Wenting Zhao
Institutions: Ningxia University, South China University of Technology
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: gold
Awards: G6437130653, G7569389211
OpenAlex ID: W4297154331
