Analysis of the Linkage between International Crude Oil and Chinese Industry Sector Indices under the COVID-19

Li Yu, Yuanying Jiang
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Abstract

The sudden epidemic has a huge impact on the global economy. This paper takes the International crude oil and the SSE Industry Index as the research objects to explore the linkage between the two markets under COVID-19. We use DCC-GARCH to study the dynamic correlation between the two markets before and after the outbreak. The PCA-GARCH model is further used to verify whether there is a spillover effect between the two markets, and finally the time-varying spillover index is used to quantify the spillover effect. The results show that the epidemic has strengthened the overall connection between the two markets. In particular, the correlation between SSE Public and International crude oil has the greatest impact. During the epidemic, crude oil has the most volatility, and most of the volatility series can reach the peak state. There are positive spillover effects among SSE Material, SSE Energy, and SSE Industry. In the total spillover index table, the conclusion of the PCA-GARCH model is verified, that is, the spillover index value is larger when there is a spillover effect. After the outbreak, the total spillover index rose by 10%. Before and after the outbreak, crude oil changed from a volatility sender to a receiver.
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新冠肺炎背景下国际原油与中国工业板块指数的联动分析
这场突如其来的疫情对全球经济产生了巨大影响。本文以国际原油和上证工业指数为研究对象,探讨新冠疫情下国际原油和上证工业指数之间的联动关系。我们使用DCC-GARCH来研究疫情前后两个市场之间的动态相关性。进一步利用PCA-GARCH模型验证两个市场之间是否存在溢出效应,最后利用时变溢出指数对溢出效应进行量化。结果表明,疫情加强了两地市场之间的整体联系。其中上证公募与国际原油的相关性影响最大。疫情期间,原油波动性最大,且大部分波动序列都能达到峰值状态。SSE材料、SSE能源和SSE工业之间存在正溢出效应。在总溢出指数表中,验证了PCA-GARCH模型的结论,即存在溢出效应时,溢出指数值更大。疫情爆发后,总外溢指数上升10%。在疫情爆发前后,原油从波动的发送者变成了接收者。
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