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Credit Contagion in Financial Markets: A Network-Based Approach

机译:金融市场中的信用传染:基于网络的方法

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摘要

We propose a network-based model of credit contagion and examine the e�ects of idiosyncratic and systemic shocks to individual banks and the banking system. The banking system is built as a network in which banks are connected to each other through the interbank market. The microstructure captures the relation between debtors and creditors, and the macroeconomic events capture the sensitivity of the banks' �nancial strenght to macroeconomic events, such as housing. We have demonstrated that while idiosyncratic shocks do not have a potential to substantially disturb the banking system, macroeconomic events of higher magnitudes could be highly harmful, especially if they also spur contagion. In a concerted default of more banks, the stability of a banking system tends to decrease disproportionately. In addition, credit risk analysis is highly sensitive to the network topology and exhibits a nonlinear characteristic. Capital ratio and recovery rates are two additional factors that contribute to the stability of the �nancial system.
机译:我们提出了一种基于网络的信用传染模型,并研究了对个别银行和银行系统的特质和系统性冲击的影响。银行系统构建为一个网络,在该网络中,银行通过银行间市场相互连接。微观结构反映了债务人与债权人之间的关系,宏观经济事件反映了银行的财务实力对宏观经济事件(如住房)的敏感性。我们已经证明,虽然特质冲击不会实质性地扰乱银行体系,但更大程度的宏观经济事件可能是非常有害的,尤其是如果它们还刺激传染性的话。在更多银行共同违约的情况下,银行系统的稳定性趋于不成比例地下降。此外,信用风险分析对网络拓扑高度敏感,并表现出非线性特征。资本比率和回收率是另外两个影响金融系统稳定性的因素。

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