Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models
By Lean Yu, Rui Zha, Dimitrios Stafylas, Kaijian He, Jia Liu. International Review of Financial Analysis, 2020
145 citations recorded by the source corpus.
Abstract This paper examines the dynamic relationship between the oil market and stock markets from two perspectives: dependence between the crude oil market (WTI) and stock markets of the US and China, and volatility spillovers between them during 1991–2016. We further analyze structural breaks of market dependences and consider the extent of their influence on such relationships. Our vine-copula results show that the dependences between the three paired markets, WTI-US, WTI-China and US-China, vary dynamically across the six identified structural break periods. In particular, the dependence between WTI-US is stronger and more volatile than that between WTI-China during most of the periods. The dependence between US-China remains at a lower level in the earlier periods, but increases in the final period. Our VAR-BEKK-GARCH results demonstrate distinctive volatility spillovers across these periods, with varying directionality, in response to the structural changes. Overall, our results indicate that the oil market stimulates rapid and continual fluctuations in market dependences, which become manifest most acutely in the aftermath of the Financial Crisis of 2007–08, demonstrating the increasing interdependence between the oil and stock markets. Further, the growing influence of China on the dynamics of these relationships, in the period following the Great Recession, presents evidence that it begins to assume an increasingly important role in global economic recovery.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/cee3244871d9ad7c278a992f678f3ec95de8ce9d
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In Economics and Econometrics
- Sang Hoon Kang
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- Duc Khuong Nguyen
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In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Asymmetric spillover and network connectedness between crude oil, gold, and Chinese sector stock markets (2021, background): “A second strand of literature used a variety of multivariate generalized autoregressive conditional heteroskedasticity (GARCH)models to analyze the dynamic conditional correlations, and the transmission of returns and volatility between crude oil and stock markets (Arouri et al., 2011; Sadorsky, 201”