跨境火灾的动态-石油和股票市场之间的金融传染

Haiying Wang, Ying Yuan, Tianyang Wang
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引用次数: 1

摘要

基于石油市场和股票市场之间复杂的动态关系,本文建立了动态马尔可夫制度转换-copula-极值理论模型,定量研究了石油市场和股票市场之间的金融传染及其特征。该模型应用于美国和中国六个主要极端下行风险事件的原油价格和股票市场的日收益。我们发现,与中国相比,美国的金融传染时间更短、更强,也更容易受到极端下行冲击的影响。此外,与以往危机相比,新冠肺炎危机显示出最大的金融传染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Dynamics of Cross-Boundary Fire - Financial Contagion between the Oil and Stock Markets
Motivated by the complex dynamics between the oil and stock markets, this study develops a dynamic Markov regime switching-copula-extreme value theory model to quantitatively investigate financial contagion and its characteristics between these two markets. The proposed model is applied to daily returns on crude oil prices and the stock markets in the United States and China over six major extreme downside risk events. We find that financial contagion is shorter, stronger, and more susceptible to extreme downside shocks in the United States than in China. In addition, the COVID-19 crisis shows the largest financial contagion compared with previous crises.
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