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作 者:Xiaochun Guo
机构地区:[1]School of Economics and Management,University of Science and Technology Beijing,Beijing,100083,China [2]Department of Management,Politics,and Philosophy,Copenhagen Business School,2000,Frederiksberg,Copenhagen,Denmark [3]Sino-Danish Center,University of Chinese Academy of Science,Beijing,100190,China
出 处:《Financial Innovation》2024年第1期2386-2410,共25页金融创新(英文)
摘 要:COVID-19 has significantly influenced global financial markets,including Bitcoin.Recent studies have focused on investigating the first wave of the COVID-19 outbreak and accounting for market changes,which were mostly due to the pandemic.This research not only analyzes the contagion effects of COVID-19 but also considers aftermath events beyond the first pandemic wave to examine spillovers of Bitcoin.The study employs Diebold and Yilmaz’s method to explore the static and dynamic spillovers of the selected variables and identifies several major global events,including crypto-specific affairs,macroeconomic policies,and geopolitical conflicts,to explain the new market dynamics of Bitcoin using network analysis.The findings identify a few high-contagion periods related to Bitcoin.The paper also found that Bitcoin is more likely to produce extreme returns and is more connected to other markets.Contagion effects“from”and“to”other markets are asymmetrical in terms of arrival time and market response.Bitcoin is more likely to be affected by other markets in extreme situations and receives spillovers from them sooner than it transmits spillovers to others.In the context of various global events,impacts arising from developed countries are stronger.China still has some impact on cryptocurrency markets,but they are waning.Bitcoin is thus not a safe haven from the shocks of global events,but can sometimes work as a hedge or diversifier.The results offer alternative explanations for Bitcoin’s different market dynamics and enrich our understanding of Bitcoin’s safe haven,hedge,and diversifier properties within a diversified portfolio.
关 键 词:Bitcoin Contagion COVID-19 Network analysis GEOPOLITICS
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