The Spillover Effects of WTI Crude Oil and The Stock Markets of China and The United States
DOI:
https://doi.org/10.62051/h9kyqq38Keywords:
WTI crude oil; Volatility spillover effect; Tail risk spillover effect.Abstract
Fluctuations in crude oil prices can affect China's national economy through the transmission of market information. Based on this background, this paper selects the relevant index data of WTI crude oil and the stock markets of China and the United States from January 5, 1993 to April 30, 2024 as the research objects, and constructs the VAR-BEKK-GARCH model, the DY spill-over index, and the VAR for Var model to study the volatility spillover and extreme risk spillover between crude oil and the stock markets. The results show that the volatility spillover between WTI crude oil and the stock markets of China and the United States indicates that there is no volatility spillover effect between WTI and the Chinese stock market; when the Chinese stock market rises or falls sharply, it has tail risk spillover effects on the crude oil market, and the risk spillover effect between the crude oil market and the US stock market is asymmetric, with risk spillover typically occurring in the upper quantile rather than the lower quantile. Then, the full sample is divided into two sub-samples based on the 2008 financial crisis as the boundary for research. It is found that the risk spillover effect between WTI crude oil and the stock markets of China and the United States after the crisis is stronger than that before the crisis, which is helpful for investors and relevant practitioners to understand the relationship between the two markets, avoid risks, and promote the healthy and stable development of China's financial market.
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References
[1] André Varella Mollick, Hamid Sakaki. Exchange rates, oil prices and world stock returns. Resources Policy, 2019, 61:585-602.
[2] Kunliang Jiang, Wuyi Ye. Does the asymmetric dependence volatility affect risk spillovers between the crude oil market and BRICS stock markets? Economic Modelling, 2022, 117:106046.
[3] Danyan Wen, Li Liu, Chaoqun Ma, Yudong Wang. Extreme risk spillovers between crude oil prices and the US exchange rate: Evidence from oil-exporting and oil-importing countries. Energy, 2020, 212:118740.
[4] Thai Hong Le, Anh Tram Luong. Dynamic spillovers between oil price, stock market, and investor sentiment: Evidence from the United States and Vietnam. Resources Policy, 2022, 78:102931.
[5] Lin Chen, Fenghua Wen, Wanyang Li, Hua Yin, Lili Zhao. Extreme risk spillover of the oil, exchange rate to Chinese stock market: Evidence from implied volatility indexes. Energy Economics, 2022, 107:105857.
[6] Di Xiao, Jun Wang. Dynamic complexity and causality of crude oil and major stock markets. Energy, 2020, 193:116791.
[7] Lu Yang, Xiao Jing Cai, Shigeyuki Hamori. Does the crude oil price influence the exchange rates of oil-importing and oil-exporting countries differently? A wavelet coherence analysis. International Review of Economics & Finance, 2017, 49:536-547.
[8] Vitaly Pershin, Juan Carlos Molero, Fernando Perez de Gracia. Exploring the oil prices and exchange rates nexus in some African economies. Journal of Policy Modeling, 2016, 38:166-180.
[9] Limin Du, Yanan He. Extreme risk spillovers between crude oil and stock markets. Energy Economics, 2015, 51:455-465.
[10] Zhenhua Liu, Hui-Kuan Tseng, Jy S.Wu, Zhihua Ding. Implied volatility relationships between crude oil and the US stock markets: Dynamic correlation and spillover effects. Resources Policy, 2020, 66:101637.
[11] Pengfei Zhu, Yong Tang, Yu Wei, Tuantuan Lu. Multidimensional risk spillovers among crude oil, the US and Chinese stock markets: Evidence during the COVID-19 epidemic. Energy, 2021, 231:120949.
[12] Maoxi Tian, Muneer M Alshater, Seong-Min Yoon. Dynamic risk spillovers from oil to stock markets: Fresh evidence from GARCH copula quantile regression-based CoVaR model. Energy Economics, 2022, 115:106341.
[13] Danyan Wen, Gang-Jin Wang, Chaoqun Ma, Yudong Wang.Risk spillovers between oil and stock markets: A VAR for VaR analysis. Energy Economics, 2019, 80:524-535.
[14] Syed Jawad Hussain Shahzad, Walid Mensi, Shawkat Hammoudeh, Mobeen Ur Rehman, Khamis H, Al-Yahyaee. Extreme dependence and risk spillovers between oil and Islamic stock markets. Emerging Markets Review, 2018, 34:42-63.
[15] Yue-Jun Zhang, Shu-Jiao Ma. How to effectively estimate the time-varying risk spillover between crude oil and stock markets? Evidence from the expectile perspective. Energy Economics, 2019, 84:104562.
[16] Emilia Garcia-Appendini, Judit Montoriol-Garriga, Firms as liquidity providers: Evidence from the 2007–2008 financial crisis. Journal of Financial Economics, 2013, 109;272-291.
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