基于Copula-POT-CoVaR模型的原油市场对金砖国家股市风险溢出效应研究

IF 3.2 Q1 BUSINESS, FINANCE Quantitative Finance and Economics Pub Date : 2019-12-22 DOI:10.3934/qfe.2019.4.754
Ke Liu, Changqing Luo, Zhao Li
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引用次数: 17

摘要

为了研究原油市场对金砖国家股市的风险溢出效应,我们通过引入峰值超阈值来扩展Copula CoVaR模型,并构建了Copula POT-CoVaR模式。以2006年至2016年原油市场和金砖国家股市数据为样本,实证研究结果表明:(a)Copula POT-CoVaR模型是衡量极端风险的有效方法,(b)原油市场向金砖国家股市存在显著的风险溢出,原油市场风险解释了金砖国家股市50%以上的风险,(c)在金砖五国的五个股市中,俄罗斯股市和中国股市分别受到原油市场最强烈和最轻微的溢出。这些发现表明,在管理金砖国家市场的投资组合时,尤其是在原油市场高度波动的情况下,应该密切关注原油市场。
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Investigating the risk spillover from crude oil market to BRICS stock markets based on Copula-POT-CoVaR models
To investigate the risk spillover effect from crude oil market to BRICS stock markets, we extend the Copula-CoVaR models by introducing the Peak-over-Threshold and construct the Copula-POT-CoVaR model. By using the crude oil market and BRICS stock market data from 2006 to 2016 as the sample, the empirical study results show that: (a) Copula-POT-CoVaR model is an effective method to measure the extreme risk, (b) there is a significant risk spillover from crude oil market to BRICS stock markets, and the risk of crude oil market explains more than 50 percent of BRICS stock markets’ risk, and (c) within five BRICS stock markets, Russia’s stock market and China’s stock market receive the strongest and slightest spillover from crude oil market respectivlely. These findings indicate that close attention should be paid to the crude oil market when managing the investment portfolio of BRICS markets, especially in the face of high volatility of crude oil market.
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来源期刊
CiteScore
0.30
自引率
1.90%
发文量
14
审稿时长
12 weeks
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