 Covid-19 impact on Cryptocurrencies market using Multivariate Time Series ModelsThanakorn Nitithumbundit and Jennifer S.K. Chan The Quarterly Review of Economics and Finance, 2022, vol. 86, issue C, 365-375 Abstract: The ever-growing volume of cryptocurrency transactions indicates the importance to understand the new cryptocurrency market. Many research works have demonstrated the unique features of cryptocurrency market compared to other asset markets. Under the impact of Covid-19, the cryptocurrency market may display more differential features. We analyse these differential features of the cryptocurrency market by studying their return persistence, return asymmetry, interdependency, and volatility spillover. The vector autoregressive moving average model with variance gamma innovations is proposed to capture these features before and during the pandemic outbreak. We consider four cryptocurrencies, namely Bitcoin, Ripple, Dash, and Litecoin which have top market capitalisation. For model estimation, we apply the computational efficient expectation/conditional maximisation algorithm. We interpret the results concerning their technological setups. Keywords: Mutlivariate skewed variance gamma distribution; Vector ARMA model; Covid-19 impact; ECM algorithm; Cryptocurrencies (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:quaeco:v:86:y:2022:i:c:p:365-375 DOI: 10.1016/j.qref.2022.08.006 Access Statistics for this article The Quarterly Review of Economics and Finance is currently edited by R. J. Arnould and J. E. Finnerty More articles in The Quarterly Review of Economics and Finance from Elsevier |
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