Niu Hongli, Xu Kunliang, Xiong Mengyuan
School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China.
School of Economics and Management, Hanjiang Normal University, Shiyan 442000, China.
Entropy (Basel). 2023 Apr 6;25(4):619. doi: 10.3390/e25040619.
Exploring the risk spillover between Chinese and mature stock markets is a promising topic. In this study, we propose a Markov-switching mixed-Clayton (Ms-M-Clayton) copula model that combines a state transition mechanism with a weighted mixed-Clayton copula. It is applied to investigate the dynamic risk dependence between Chinese and mature stock markets in the Americas, Europe, and Asia-Oceania regions. Additionally, the conditional value at risk (CoVaR) is applied to analyze the risk spillovers between these markets. The empirical results demonstrate that there is mainly a time-varying but stable positive risk dependence structure between Chinese and mature stock markets, where the upside and downside risk correlations are asymmetric. Moreover, the risk contagion primarily spills over from mature stock markets to the Chinese stock market, and the downside effect is stronger. Finally, the risk contagion from Asia-Oceania to China is weaker than that from Europe and the Americas. The study provides insights into the risk association between emerging markets, represented by China, and mature stock markets in major regions. It is significant for investors and risk managers, enabling them to avoid investment risks and prevent risk contagion.
探索中国股票市场与成熟股票市场之间的风险溢出是一个很有前景的课题。在本研究中,我们提出了一种马尔可夫切换混合克莱顿(Ms-M-Clayton)Copula模型,该模型将状态转移机制与加权混合克莱顿Copula相结合。它被用于研究中国股票市场与美洲、欧洲和亚太地区成熟股票市场之间的动态风险依存关系。此外,条件风险价值(CoVaR)被用于分析这些市场之间的风险溢出。实证结果表明,中国股票市场与成熟股票市场之间主要存在时变但稳定的正向风险依存结构,其中上行和下行风险相关性是不对称的。此外,风险传染主要从成熟股票市场溢出到中国股票市场,且下行效应更强。最后,亚太地区对中国的风险传染弱于欧洲和美洲。该研究为以中国为代表的新兴市场与主要地区成熟股票市场之间的风险关联提供了见解。它对投资者和风险管理者具有重要意义,使他们能够规避投资风险并防止风险传染。