互联网影子银行信贷风险溢出效应实证研究*

Chengguo Zhao, Jiayan Chu, Meng Li
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摘要

本文梳理了互联网影子银行信用风险传染机制,选取正规金融市场和影子银行市场的利率数据,构建二元正态Copula模型和二元t-Copula模型,分析互联网影子银行利率对影子银行利率和正规市场利率的依赖关系,测度互联网影子银行信用风险对其他金融市场的传染性溢出效应。研究发现,互联网影子银行信贷风险通过利率波动和利差两种渠道向其他金融市场扩散,互联网影子银行信贷风险主要向影子银行市场外溢,对正规金融市场影响不大。因此,对影子银行市场的信贷风险的防范和控制应是我们关注的重点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Empirical Research on the Credit Risk Spillover Effect of Internet Shadow Banking∗
This paper sorts out the mechanism of credit risk contagion in Internet shadow banking, selects interest rate data from the formal financial market and shadow banking market, constructs bivariate normal Copula model and bivariate t-Copula model to analyze the dependence of Internet shadow banking interest rates with shadow banking interest rates and formal market interest rates, to measure the contagious spillover effects of Internet shadow banking credit risks on other financial markets. The study found that Internet shadow banking credit risks spread to other financial markets through two channels: interest rate fluctuations and interest rate spreads, and Internet shadow banking credit risks mainly spills over to the shadow banking market and has little impact on the formal financial market. Therefore, we should focus on the prevention and control of credit risks in shadow banking market.
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