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Time-frequency connectedness between energy and nonenergy commodity markets during COVID-19: Evidence from China
被引:31
|作者:
Chen, Hao
[1
]
Xu, Chao
[1
,2
]
Peng, Yun
[1
]
机构:
[1] Hubei Univ Econ, Sch Finance, Wuhan 430205, Peoples R China
[2] Collaborat Innovat Ctr Emiss Trading Syst Coconstr, Wuhan 430205, Peoples R China
来源:
关键词:
Energy commodity in China;
Nonenergy commodity markets in China;
COVID-19;
Time-frequency connectedness;
Portfolio design;
VOLATILITY SPILLOVERS;
DYNAMIC LINKAGES;
ECONOMIC-GROWTH;
STOCK MARKETS;
WAVELET;
UNCERTAINTY;
D O I:
10.1016/j.resourpol.2022.102874
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
We aim to investigate the static and dynamic time-frequency connectedness between energy and nonenergy commodity markets in China during COVID-19 based on Barunik and Krehlik (2018) method. First, in this paper, we find that the short-term connectedness dominates the long-term one, and the total connectedness increases after the COVID-19 outbreak. Second, the energy commodity is the receiver and is influenced much by the spillovers of non-energy commodity markets (e.g. chemical commodities and non-ferrous metals) in the short run. At the same time, the impact is less at the long-term investment horizons. In addition, chemical commodities and soft commodities are the primary transmitters in this system in the short run. In contrast, chemical commodities and coal steel iron commodities are the main long-run primary transmitters. Third, the spillover role varies with the time-frequency domain during COVID-19. To be more specific, the energy commodity shows a net receiver role in the short and long run before the COVID-19 pandemic, but after it, the role of the net transmitter can be seen in the long run with ease. Finally, we show that COVID can reduce the hedging effectiveness at different investment horizons. The mineral policymakers should note our dynamic empirical results between energy and nonenergy commodity.
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页数:10
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