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Author:

Li, Jingyu (Li, Jingyu.) | Liu, Ranran (Liu, Ranran.) | Yao, Yanzhen (Yao, Yanzhen.) | Xie, Qiwei (Xie, Qiwei.) (Scholars:谢启伟)

Indexed by:

SSCI EI Scopus

Abstract:

This study investigates the impact of the recent COVID-19 pandemic on the time-frequency volatility spillovers across the international crude oil market and Chinese major energy futures markets. In addition to the Chinese crude oil market, six other major energy futures markets in China are also considered. Volatility spillover networks are constructed based on the generalized forecast error variance decomposition in the frequency domain. The results demonstrate that the outbreak of COVID-19 strengthened the total volatility spillover across these markets. Interestingly, the volatility spillovers from the international crude oil market to China's markets were found to be overall strong in the long term and to have increased substantially during the pandemic. However, the spillovers across the domestic markets were found to dominate in the short term, even with the occurrence of the pandemic and crude oil price turbulence. The findings suggest that policymakers and investors should be cautious about the diverse impacts of the pandemic at multiple scales.

Keyword:

Variance decomposition in frequency domain COVID-19 Chinese energy futures markets Volatility spillover

Author Community:

  • [ 1 ] [Li, Jingyu]Beijing Univ Technol, Sch Econ & Management, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 2 ] [Liu, Ranran]Beijing Univ Technol, Sch Econ & Management, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 3 ] [Xie, Qiwei]Beijing Univ Technol, Sch Econ & Management, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 4 ] [Yao, Yanzhen]Chinese Acad Social Sci, Natl Acad Econ Strategy, Beijing 100028, Peoples R China

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Source :

RESOURCES POLICY

ISSN: 0301-4207

Year: 2022

Volume: 77

ESI Discipline: SOCIAL SCIENCES, GENERAL;

ESI HC Threshold:27

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 52

ESI Highly Cited Papers on the List: 13 Unfold All

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  • 2023-11
  • 2023-9
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  • 2023-5
  • 2023-3

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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