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Credit rating migration risk and interconnectedness in a corporate lending network

机译:信用评级迁移风险和企业贷款网络中的互联

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摘要

This study assesses the credit rating migration risk and interconnectedness in Japan's corporate lending market during the fiscal years 2008-2015. First, the study conducts a portfolio credit risk analysis by using outstanding lending data with borrowers' and lenders' names. The results show an expected shortfall with tail dependence of t-copula captures the heavy-tailed risk of Japanese institutions. The study also measures credit risk exposures and credit risk amounts by industry sector, and evaluates sector concentration risk. Subsequently, the study analyzes the network structure of lending contracts using network centrality measures. From the perspective of the network, institutions play a central role in terms of degree centrality. Further, the study undertakes a stress test using a historical economic scenario pertaining to a credit rating migration matrix shortly after the Lehman Brothers' bankruptcy. The test finds a much sparser network structure due to a large number of firm defaults. The study's analysis offers banks and insurers important implications regarding credit risk management of corporate lending.
机译:本研究评估了2008 - 2015年度日本企业贷款市场的信用评级迁移风险和互联。首先,该研究通过使用借款人和贷方名称的优秀贷款数据进行投资组合信用风险分析。结果显示了T-Copula的尾部依赖性的预期缺陷捕获了日本机构的重型风险。该研究还通过行业部门衡量信贷风险风险风险和信贷风险,并评估部门集中风险。随后,该研究分析了使用网络中心措施的贷款合同网络结构。从网络的角度来看,机构在度量中心起着核心作用。此外,该研究在雷曼兄弟破产后不久,使用与信用评级迁移矩阵有关的历史经济场景进行压力测试。由于大量公司默认值,该测试发现了很多稀疏网络结构。该研究的分析提供了关于企业贷款信用风险管理的银行和保险公司的重要意义。

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