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新冠疫情对加密货币市场的短期影响:基于动态条件相关广义自回归条件异方差模型的分析

Short-term effect of COVID-19 pandemic on cryptocurrency markets: A DCC-GARCH model analysis.

作者信息

Ben-Ahmed Kais, Theiri Saliha, Kasraoui Naziha

机构信息

Department of Finance, College of Business, University of Jeddah, Saudi Arabia.

Higher Institute of Management, ISG, University of Sousse, Tunisia.

出版信息

Heliyon. 2023 Aug 5;9(8):e18847. doi: 10.1016/j.heliyon.2023.e18847. eCollection 2023 Aug.

DOI:10.1016/j.heliyon.2023.e18847
PMID:37636353
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10450843/
Abstract

This research examines the impact of the coronavirus index on the returns and volatility of ten major cryptocurrencies during the COVID-19 pandemic. For this purpose, we applied a multivariate volatility GARCH model with an integrated dynamic conditional correlation (DCC) approach to daily cryptocurrency values observed data during the January-December, 2020 period. Moreover, we used the Granger causality test to study return-volume correlations. The findings indicate that cryptocurrency volatility declined after the World Health Organization declared on March 11, 2020, that the coronavirus was a pandemic. Unlike most of the relevant previous studies, we found that the COVID-19 crisis did not have a long-term effect on cryptocurrency returns and volatility but only presented a short-term effect. Our results have implications for investors who need to determine an optimal portfolio for a scenario other than the base.

摘要

本研究考察了新冠病毒指数对新冠疫情期间十种主要加密货币回报与波动性的影响。为此,我们对2020年1月至12月期间观测到的加密货币每日价值数据应用了带有集成动态条件相关(DCC)方法的多元波动性GARCH模型。此外,我们使用格兰杰因果检验来研究回报与交易量的相关性。研究结果表明,在世界卫生组织于2020年3月11日宣布新冠病毒为大流行病之后,加密货币的波动性有所下降。与之前大多数相关研究不同的是,我们发现新冠疫情危机对加密货币的回报和波动性并没有长期影响,而仅呈现出短期影响。我们的研究结果对那些需要为非基准情景确定最优投资组合的投资者具有启示意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1760/10450843/d5ce84f106dd/gr002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1760/10450843/91a2c490196c/gr001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1760/10450843/d5ce84f106dd/gr002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1760/10450843/91a2c490196c/gr001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1760/10450843/d5ce84f106dd/gr002.jpg

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本文引用的文献

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The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets.新冠疫情对加密货币和股票市场回报与波动性长期记忆的影响。
Chaos Solitons Fractals. 2021 Oct;151:111221. doi: 10.1016/j.chaos.2021.111221. Epub 2021 Jul 10.
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Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: evidence from DCC-GARCH and wavelet analysis.新冠疫情期间加密货币市场的波动溢出效应:来自动态条件相关广义自回归条件异方差模型(DCC-GARCH)和小波分析的证据
Financ Innov. 2022;8(1):12. doi: 10.1186/s40854-021-00319-0. Epub 2022 Feb 3.
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COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling.新冠疫情与加密货币波动性:来自非对称模型的证据。
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A time-frequency analysis of the impact of the Covid-19 induced panic on the volatility of currency and cryptocurrency markets.对新冠疫情引发的恐慌对货币和加密货币市场波动性影响的时频分析。
J Behav Exp Finance. 2020 Dec;28:100404. doi: 10.1016/j.jbef.2020.100404. Epub 2020 Sep 19.
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Financial markets under the global pandemic of COVID-19.新冠疫情全球大流行下的金融市场。
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COVID-19 and finance: Agendas for future research.新冠疫情与金融:未来研究议程
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