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Can gold and bitcoin hedge against the COVID-19 related news sentiment risk? New evidence from a NARDL approach.
Zhu, Xuehong; Niu, Zibo; Zhang, Hongwei; Huang, Jiaxin; Zuo, Xuguang.
  • Zhu X; School of Business, Central South University, Changsha, 410083, China.
  • Niu Z; Institute of Metal Resources Strategy, Central South University, Changsha, 410083, China.
  • Zhang H; School of Business, Central South University, Changsha, 410083, China.
  • Huang J; Institute of Metal Resources Strategy, Central South University, Changsha, 410083, China.
  • Zuo X; School of Mathematics and Statistics, Central South University, Changsha, 410083, China.
Resour Policy ; 79: 103098, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2086689
ABSTRACT
The COVID-19 pandemic has led to extensive news coverage, causing investor sentiment to swing, which has further increased financial market price volatility. There is an increasing need to find a hedge against sentiment risk. This paper examines the hedge capabilities of gold and Bitcoin against COVID-19-related news sentiment (CNS) risk under a nonlinear autoregressive distributed lag (NARDL) model. Our empirical results reveal that there is an obvious asymmetric effect from the CNS on gold prices in the short run and that the decrease in the COVID-19-related news index would have a greater impact on gold prices than when it increases. The impact of CNS on Bitcoin prices is asymmetric in the long and short term, especially in the long term. In addition, we conclude that gold is a hedge against CNS risk in the long term, and the hedging effect of Bitcoin is mainly reflected in the short-term.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Resour Policy Year: 2022 Document Type: Article Affiliation country: J.resourpol.2022.103098

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Resour Policy Year: 2022 Document Type: Article Affiliation country: J.resourpol.2022.103098