石油与欧洲股市之间联系的结构性变化:对风险管理的影响

IF 0.6 Q4 STATISTICS & PROBABILITY
Javier Ojea Ferreiro
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引用次数: 7

摘要

摘要欧洲股市和原油之间的关系取决于不同行业在欧洲经济中的重要性。文献指出了2008年危机后的结构变化,但没有详细说明是哪些部门导致了这一政权的转变。众所周知,石油价格和股票市场之间的协同运动表现出(1)非线性,(2)不对称尾部依赖性和(3)随时间的变化。我将copula方法与切换马尔可夫模型相结合,以捕捉这种复杂的联系,而CoVaR度量将尾部依赖性的后果转化为潜在损失。结果表明,石油和Eurostoxx之间的下尾部依赖性从负关联变为正关联,这意味着我们的股票投资组合对大宗商品风险的敞口发生了变化。2008年金融危机后,能源密集型部门,如基础材料和消费品,在依赖性方面发生了结构性变化。经济周期及其对利润率和石油需求的影响可能解释了这种转变。医疗保健行业对石油冲击的反应方式与Eurostoxx相反,显示出减少股票投资组合对石油溢出风险的有用特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural change in the link between oil and the European stock market: implications for risk management
Abstract The relationship between the European stock market and the crude oil depends on the significance of the different industries in the European economy. The literature points to a structural change after the 2008 crisis without getting into details of which sectors lead this regime switch. The co-movement between oil prices and stock market is known to exhibit (1) non-linearity, (2) asymmetric tail dependence and (3) variation over time. I combine a copula approach with Switching Markov models to capture this complex linkage while the CoVaR measure translates the consequences of the tail dependence into potential losses. The results indicate a change in the lower tail dependence from negative to positive association between oil and Eurostoxx, meaning a shift in the exposure of our stock portfolio to commodity risk. There is a structural change in dependence after the 2008 financial crisis led by energy-intensive sector, e.g. basic materials and consumer goods. The economic cycle and its implications for profit margin and oil demand might explain this switch. Healthcare sector responds to oil shocks in an opposite way than Eurostoxx, displaying useful features to reduce the exposure of the stock portfolio to oil spillovers.
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来源期刊
Dependence Modeling
Dependence Modeling STATISTICS & PROBABILITY-
CiteScore
1.00
自引率
0.00%
发文量
18
审稿时长
12 weeks
期刊介绍: The journal Dependence Modeling aims at providing a medium for exchanging results and ideas in the area of multivariate dependence modeling. It is an open access fully peer-reviewed journal providing the readers with free, instant, and permanent access to all content worldwide. Dependence Modeling is listed by Web of Science (Emerging Sources Citation Index), Scopus, MathSciNet and Zentralblatt Math. The journal presents different types of articles: -"Research Articles" on fundamental theoretical aspects, as well as on significant applications in science, engineering, economics, finance, insurance and other fields. -"Review Articles" which present the existing literature on the specific topic from new perspectives. -"Interview articles" limited to two papers per year, covering interviews with milestone personalities in the field of Dependence Modeling. The journal topics include (but are not limited to):  -Copula methods -Multivariate distributions -Estimation and goodness-of-fit tests -Measures of association -Quantitative risk management -Risk measures and stochastic orders -Time series -Environmental sciences -Computational methods and software -Extreme-value theory -Limit laws -Mass Transportations
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