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加密货币与油价冲击:新冠疫情期间的非对称自回归分布滞后模型分析

Cryptocurrencies and oil price shocks: A NARDL analysis in the COVID-19 pandemic.

作者信息

Jareño Francisco, González María de la O, López Raquel, Ramos Ana Rosa

机构信息

Faculty of Economic and Business Sciences, University of Castilla-La Mancha, Albacete, Spain.

出版信息

Resour Policy. 2021 Dec;74:102281. doi: 10.1016/j.resourpol.2021.102281. Epub 2021 Aug 2.

DOI:10.1016/j.resourpol.2021.102281
PMID:34658484
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8507580/
Abstract

This study explores potential non-linear and asymmetric interdependencies between oil price shocks and leading cryptocurrency returns. In addition, this research splits changes in crude oil prices into three relevant components: risk, demand, and supply shocks. By applying the NARDL methodology, this paper examines the connection between oil and cryptocurrencies in the period between November 20, 2018 and June 30, 2020, conducting a study of the first wave of the COVID-19 pandemic. Our results confirm that demand shocks show the greatest connection with the returns of the cryptocurrencies analysed. In addition, both short-term and long-term results show a greater interdependence between oil and cryptocurrencies in periods of economic turbulence, such as the SARS-CoV-2 coronavirus crisis.

摘要

本研究探讨了油价冲击与主要加密货币回报之间潜在的非线性和非对称相互依存关系。此外,本研究将原油价格变化分为三个相关组成部分:风险、需求和供应冲击。通过应用非对称自回归分布滞后(NARDL)方法,本文考察了2018年11月20日至2020年6月30日期间石油与加密货币之间的联系,该时段正值新冠疫情第一波期间。我们的结果证实,需求冲击与所分析的加密货币回报显示出最大的关联。此外,短期和长期结果均表明,在经济动荡时期,如严重急性呼吸综合征冠状病毒2(SARS-CoV-2)冠状病毒危机期间,石油与加密货币之间存在更大的相互依存关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c9b/8507580/d53fd004fb81/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c9b/8507580/748063952f32/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c9b/8507580/d53fd004fb81/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c9b/8507580/748063952f32/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c9b/8507580/d53fd004fb81/gr2_lrg.jpg

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本文引用的文献

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The role of cryptocurrencies in predicting oil prices pre and during COVID-19 pandemic using machine learning.加密货币在使用机器学习预测新冠疫情之前及期间的油价方面的作用。
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