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Systemic Risk and the Interconnectedness Between Banks and Insurers: An Econometric Analysis

机译:系统性风险与银行与保险公司之间的相互联系:计量经济学分析

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摘要

This article uses daily market value data on credit default swap spreads and intraday stock prices to measure systemic risk in the insurance sector. Using the systemic risk measure, we examine the interconnectedness between banks and insurers with Granger causality tests. Based on linear and nonlinear causality tests, we find evidence of significant bidirectional causality between insurers and banks. However, after correcting for conditional heteroskedasticity, the impact of banks on insurers is stronger and of longer duration than the impact of insurers on banks. Stress tests confirm that banks create significant systemic risk for insurers but not vice versa.
机译:本文使用信用违约掉期利差和日内股票价格的每日市值数据来衡量保险业的系统性风险。使用系统风险度量,我们通过格兰杰因果关系检验检验了银行与保险公司之间的相互联系。基于线性和非线性因果关系检验,我们发现保险公司与银行之间存在明显的双向因果关系。但是,在修正了有条件的异方差后,与保险公司对银行的影响相比,银行对保险公司的影响更强,持续时间更长。压力测试证实,银行为保险公司带来了重大的系统性风险,反之亦然。

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