Associated Credit Risk Contagion with Incubatory Period: A Network-Based Perspective. (17th August 2020)

• Record Type: Journal Article
• Authors: Xu, Kai; Mo, Jianming; Qian, Qian; Zhang, Fengying; Xie, Xiaofeng; Zhou, Zongfang
• Other Names: Shen Dehua Academic Editor.
• Is Part Of: Complexity. Volume 2020(2020)
• Publication Date: 2020-08-17
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2020/5642730
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : Associated credit risk is a kind of credit risk among the associated credit entities formed by credit-related entities. Focusing on this hot topic of associated credit risk and the relevant contagion and considering the latent entities and their incubatory period, this paper builds an infectious dynamic model to describe the associated credit risk contagion of associated credit entities based on the mean-field theory of complex networks. Firstly, this paper analyzes the stable state of the associated credit risk contagion in the associated entity network, considering the latent entities and their incubatory period. Secondly, from the perspective of complex network and considering the incubatory period, a SHIS model is built to reveal how the incubatory period influences associated credit risk contagion. Finally, the sensitivity of some parameters is analyzed in the Barabási–Albert (BA) scale-free network. The results show the following: (i) the contagion threshold of associated credit risk is related to the incubatory period of latent entities, the recovery rate and infectivity of infected entities, and the newborn rate of credit entities; (ii) the infectious rate of infected entities, the mortality rate of credit entities, and the important factors stated in (i) are all significantly correlated with the density of infected entities.