Tail risk connectedness in the oil-stock nexus: Evidence from a novel quantile spillover approach

被引:64
|
作者
Liu, Zhenhua [1 ]
Shi, Xunpeng [2 ]
Zhai, Pengxiang [3 ]
Wu, Shan [4 ]
Ding, Zhihua [1 ]
Zhou, Yuqin [5 ]
机构
[1] China Univ Min & Technol, Sch Econ & Management, Xuzhou 221116, Jiangsu, Peoples R China
[2] Univ Technol Sydney, Australia China Relat Inst, Sydney, NSW 2007, Australia
[3] Cent South Univ, Business Sch, Changsha 410083, Peoples R China
[4] Nanjing Univ Finance & Econ, Sch Finance, Nanjing 210046, Peoples R China
[5] Chongqing Normal Univ, Sch Econ & Management, Chongqing 401331, Peoples R China
基金
中国国家自然科学基金;
关键词
Oil market; Stock market; Tail risk; Quantiles; Spillover effects; ECONOMIC-POLICY UNCERTAINTY; FINANCIAL-MARKETS EVIDENCE; PRICE SHOCKS; CRUDE-OIL; US STOCK; VOLATILITY SPILLOVERS; FREQUENCY DYNAMICS; IMPACT; ENERGY; RETURNS;
D O I
10.1016/j.resourpol.2021.102381
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study investigates the tail risk spillovers between the crude oil market and the stock markets of twelve major oil-importing and seven oil-exporting countries. We employ a novel quantile spillover index approach that allows measuring the dynamics and network of risk connectedness in the oil-stock nexus under different market conditions. Our results identify the risk transmitters, the risk receivers, and the evolution of the tail risk spillovers between oil market and stock markets over time. We find that extreme events will cause structural reversal of risk spillovers. Importantly, we provide evidence of heterogeneity in the cross-market risk spillovers at different quantiles, with higher risk spillovers occurring in both tails than those at the median. Among them, risk spillovers at the upside of the volatility distribution (0.95 quantile) are higher than those at the downside of the volatility distribution (0.05 quantile). Furthermore, we also document asymmetries in the risk spillovers at the upside and downside of the volatility distributions. The insights gained from this study suggest that extreme risks and close connections should be monitored, and their shocks should be mitigated by policy makers and market regulators.
引用
收藏
页数:20
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