On the Risk-Based Contagion of G7 Banking System and the COVID-19 Pandemic

Paulo Rogério Matos, Antonio Costa, Cristiano da Silva
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引用次数: 6

Abstract

We revisit the discussion on banking system contagion by proposing a risk-based empirical analysis during the current pandemic period. We use daily returns on G7 banking sector indices from 1 January 2015 to 31 December 2019 (pre-pandemic), and from 1 January 2020 to 16 October 2020 (pandemic). Based on the dissimilarities, the pandemic has intensified banking contagion. Frequency-based Granger causality is useful to tell the history of the pass-through of this health crisis across G7 banking sectors. We highlight the increase in the predictive relevance of Italian banking cycles during the pandemic. VaR ratio analysis, considering 21 possible pairwise combinations with the G7 financial indices, suggests a stronger contagion between banking systems. The greatest contagion is evident in the Italian and French banking systems, countries severely affected by deaths by COVID-19, while we find less contagion between Japan and Germany, countries least affected by the first wave of COVID-19.
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七国集团银行体系风险传染与新冠肺炎疫情研究
我们通过在当前大流行期间提出基于风险的实证分析,重新讨论银行体系传染问题。我们使用了2015年1月1日至2019年12月31日(大流行前)和2020年1月1日至2020年10月16日(大流行)期间七国集团银行业指数的日回报率。基于这些差异,流感大流行加剧了银行业的传染。基于频率的格兰杰因果关系有助于讲述这场健康危机在七国集团银行部门之间传递的历史。我们强调在大流行期间意大利银行周期的预测相关性增加。在考虑了与G7金融指数的21种可能的两两组合后,VaR比率分析表明,银行体系之间的传染性更强。意大利和法国银行体系的传染性最明显,这两个国家受COVID-19死亡人数影响严重,而日本和德国受第一波COVID-19影响最小。
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