2020
DOI: 10.2139/ssrn.3618736
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Pandemic-Related Financial Market Volatility Spillovers: Evidence from the Chinese COVID-19 Epicentre

Abstract: Utilising Chinese-developed data based on long-standing influenza indices, and the more recentlydeveloped coronavirus and face mask indices, we set out to test for the presence of volatility spillovers from Chinese financial markets upon a broad number of traditional financial assets during the outbreak of the COVID-19 pandemic. Such indices are used to specifically measure the performance of Chinese companies who are inherently involved in the R&D and production of materials and products used to mitigate and … Show more

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Cited by 40 publications
(52 citation statements)
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References 67 publications
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“…Secondly, while evidence of safe-haven and flight-to-safety behaviour is evident across traditional energy and precious metal markets such as Chinese oil and gold markets, results suggest that cryptocurrencies offered another platform through which wealth was stored during periods of extreme financial market volatility. This result supports the growing literature that has identified potential safe-haven properties in cryptocurrency during the extreme pandemic-related financial market stress ( Conlon, Corbet, & McGhee, 2020 ; Corbet, Hu, Hou, Larkin, & Oxley, 2020 ; Corbet, Hu, Hou, & Oxley, 2020 ; Yarovaya, Brzeszczynski, Goodell, Lucey, & Lau, 2020 ). This latter result, while supporting the views of cryptocurrency enthusiasts, will be of particular concern to policy-makers and regulators due to the large number of fundamental flaws that exist within these relatively juvenile financial products ( Corbet & Cumming, 2020 ; Corbet, Larkin, Lucey, Meegan, & Yarovaya, 2018 ; Corbet, Larkin, Lucey, & Yarovaya, 2020 ; Gandal, Hamrick, Moore, & Oberman, 2018 ; Griffin & Shams, 2018 ).…”
Section: Introductionsupporting
confidence: 83%
“…Secondly, while evidence of safe-haven and flight-to-safety behaviour is evident across traditional energy and precious metal markets such as Chinese oil and gold markets, results suggest that cryptocurrencies offered another platform through which wealth was stored during periods of extreme financial market volatility. This result supports the growing literature that has identified potential safe-haven properties in cryptocurrency during the extreme pandemic-related financial market stress ( Conlon, Corbet, & McGhee, 2020 ; Corbet, Hu, Hou, Larkin, & Oxley, 2020 ; Corbet, Hu, Hou, & Oxley, 2020 ; Yarovaya, Brzeszczynski, Goodell, Lucey, & Lau, 2020 ). This latter result, while supporting the views of cryptocurrency enthusiasts, will be of particular concern to policy-makers and regulators due to the large number of fundamental flaws that exist within these relatively juvenile financial products ( Corbet & Cumming, 2020 ; Corbet, Larkin, Lucey, Meegan, & Yarovaya, 2018 ; Corbet, Larkin, Lucey, & Yarovaya, 2020 ; Gandal, Hamrick, Moore, & Oberman, 2018 ; Griffin & Shams, 2018 ).…”
Section: Introductionsupporting
confidence: 83%
“…The findings are consistent with Zaremba et al (2020) who show that government non-pharmaceutical interventions to significantly and robustly increased the volatility in international stock markets, and Zhang et al (2020) and Narayan et al (2021) who conclude that global risks in financial markets increased substantially in response to the pandemic, with individual reactions depending on the severity of the pandemic in each country. Studies such as Topcu and Gulal (2020) , Corbet et al (2021b) , Díaz and Henríquez (2021) and Pandey and Kumari (2021) reach similar conclusions.…”
Section: Literature Reviewsupporting
confidence: 61%
“…e outbreak of COVID-19 has caused huge losses in the global real economy and financial markets, especially in the commodity futures markets due to its direct impacts on both the demand and supply chain of commodities [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Crude oil markets are hit the hardest for the collapse in travelling and massive plant shutdowns arising from mitigation measures [7,11,14,16,[18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%