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Multidimensional risk spillovers among crude oil, the US and Chinese stock markets: Evidence during the COVID-19 epidemic

机译:原油,美国和中国股市中的多维风险溢出:Covid-19流行病中的证据

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This paper investigates the multidimensional risk spillovers among crude oil, the US and Chinese stock markets during the COVID-19 epidemic through a GARCHSK-Mixed Copula-CoVaR-Network method. Firstly, we find that during the COVID-19 period, the oil-stock risk spillovers are obviously stronger than those during the normal period. And there are significant risk spillovers from the US and Chinese stock markets to the oil markets. It is also discovered that the oil markets are greatly influenced by the second board stock markets, also known as the growth enterprise markets, especially during the COVID-19 outbreak. Furthermore, the bidirectional China-oil risk spillovers during the COVID-19 pandemic have rapidly increased. Besides, it is reported that the relationships across oil futures, main board and second board stock markets in the US and China are stable under different TSI levels and extreme events. Finally, the GARCHSK-Mixed Copula-CoVaR-Network outperforms the control groups in terms of marginal distribution and dependence structure. Our study not only offers new method and insight into the oil-stock relationship, but also has economic implications for investors and policymakers. (c) 2021 Elsevier Ltd. All rights reserved.
机译:本文通过GARCHSK混合的COPULA-COVAR-Network方法调查了在Covid-19流行病中的原油,美国和中国股市中的多维风险溢出效果。首先,在Covid-19期间,我们发现在Covid-19期间,石油股票危险溢出效率明显强于正常时期的风险溢出。美国和中国股市有重大风险溢出渗透溢出器到石油市场。还发现石油市场受到第二块股票市场的影响,也称为增长企业市场,特别是在Covid-19爆发期间。此外,Covid-19大流行期间的双向中国油风险溢出速度迅速增加。此外,据报道,美国和中国的石油期货,主板和第二董事会股市的关系在不同的TSI水平和极端事件下稳定。最后,GARCHSK混合Copula-Covar网络在边际分布和依赖结构方面优于对照组。我们的研究不仅提供了对石油股作用的新方法和洞察力,而且对投资者和政策制定者具有经济影响。 (c)2021 elestvier有限公司保留所有权利。

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