Dynamic volatility connectedness between industrial metal markets

被引:7
|
作者
Gong, Xu [1 ]
Xu, Jun [1 ]
Liu, Tangyong [3 ]
Zhou, Zicheng [2 ]
机构
[1] Xiamen Univ, China Inst Studies Energy Policy, Sch Management, Xiamen 361005, Peoples R China
[2] Zhejiang Univ, Sch Publ Affairs, Hangzhou 310058, Peoples R China
[3] Hubei Univ Econ, Inst Adv Studies Finance & Econ, Wuhan 430205, Peoples R China
关键词
Volatility spillover; Spillover index; Industrial metal; TVP-VAR-SV model; NONFERROUS METALS; PRECIOUS METALS; PRICE MOVEMENTS; STOCK MARKETS; SAFE HAVEN; CRUDE-OIL; FUTURES; SPILLOVERS; FINANCIALIZATION; RETURN;
D O I
10.1016/j.najef.2022.101814
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Combined with the spillover framework of Diebold and Yilmaz (2009, 2012, 2014) and the TVP-VAR-SV model of Primiceri (2005), this paper studies the dynamic volatility connectedness be-tween six major industrial metal (i.e., aluminum, copper, lead, nickel, tin and zinc) spot and futures markets. The results show that: (1) The total volatility connectedness between industrial metal spot or futures markets has three obvious cyclical change periods with a higher connect-edness level; (2) The net connectedness of zinc and copper with other metals has been at a high positive level for a long time, which indicates the two metal markets dominate the industrial metal market; (3) Zinc exhibits the strongest volatility spillovers, while tin exhibits the weakest volatility spillovers, no matter in spot markets or futures markets; (4) The connectedness of realized skewness and kurtosis have similarity with volatility connectedness but the spillover effects of skewness and kurtosis are not as obvious as the volatility spillover effects.
引用
收藏
页数:22
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