AN EVOLVING NETWORK MODEL OF CREDIT RISK CONTAGION IN THE FINANCIAL MARKET
构建了一个包含平均适应度、风险规避情绪和抗风险能力的信用风险传染演化网络模型，通过理论分析和数值模拟探讨这些因素对金融市场信用风险传染的影响。
This paper introduces an evolving network model of credit risk contagion containing the average fitness of credit risk contagion, the risk aversion sentiments, and the ability of resist risk of credit risk holders. We discuss the effects of the aforementioned factors on credit risk contagion in the financial market through a series of theoretical analysis and numerical simulations. We find that, on one hand, the infected path distribution of the network gradually increases with the increase in the average fitness of credit risk contagion and the risk aversion sentiments of nodes, but gradually decreases with the increase in the ability to resist risk of nodes. On the other hand, the average fitness of credit risk contagion and the risk aversion sentiments of nodes increase the average clustering coefficient of nodes, whereas the ability to resist risk of nodes decreases this coefficient. Moreover, network size also decreases the average clustering coefficient.