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COVID-19 pandemic and cryptocurrency markets: an empirical analysis from a linear and nonlinear causal relationship

机译:Covid -19大流行和加密货目:线性和非线性因果关系的实证分析

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Purpose - This paper aims to empirically examine the effect of Coronavirus disease 2019 (COVID-19)pandemic on cryptocurrency market returns with particular attention to top five cryptocurrencies andCOVID-19 confirmed and death cases.Design/methodology/approach - The study applies the linear Toda and Yamamoto and nonlinearDiks and Panchenko Granger causality test to know the causal relationship of cryptocurrencies withCOVID-19 pandemic. The study also uses the Narayan and Popp endogenous two structural break tests tocapture the break period of the sample.Findings - The findings of the study confirm the existence of unidirectional causal relation from COVID-19confirmed and death cases to cryptocurrency price returns. While examining the break periods, the post-breakperiod result indicates the presence of unidirectional linear causality from COVTD-19 confirmed cases toBitcoin and Ethereum price returns. This shows that prior knowledge of COVID-19 pandemic growth helps topredict the return of cryptocurrencies.Originality/value - The study suggests the investors or crypto lovers to observe the growth of COVID-19situations during their investment in cryptocurrency markets.
机译:目的 - 本文旨在凭经验审查冠状病毒疾病2019年(Covid-19)大流行对加密货币的影响,特别注意前五个加密货币和治疗和死亡案例。Design/methodology/appach - 这项研究适用于线性Toda和Yamamoto和Nonlineardiks和Panchenko Granger因果关系测试了解Cryptid货运过期的因果关系与科约的大流行。该研究还使用Narayan和Popp内源性的两个结构断裂试验来捕获样品的休息时间。研究结果 - 研究结果证实了从Covid-19Confirmed和死亡案件到加密货物价格回报的单向因果关系的存在。在检查休息期间,突发后结果表明来自CoVTD-19确认案件的单向线性因果关系的存在,确认案例的Tobit荷纳州和国内价格回报。这表明Covid-19大流行增长的先验知识有助于收回加密货币的回报。民间/价值 - 研究表明,投资者或加密爱好者在他们在加密货币投资期间观察Covid-19Situation的增长。

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