• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

新冠疫情浪潮与全球金融市场:来自小波相干分析的证据

COVID-19 pandemic waves and global financial markets: Evidence from wavelet coherence analysis.

作者信息

Karamti Chiraz, Belhassine Olfa

机构信息

Department of Quantitative Methods, Higher Institute of Business Administration (ISAAS), Sfax University, Tunisia.

Department of Finance and Accountancy, Univ. Manouba, ESCT., 2010, Tunisia.

出版信息

Financ Res Lett. 2022 Mar;45:102136. doi: 10.1016/j.frl.2021.102136. Epub 2021 May 16.

DOI:10.1016/j.frl.2021.102136
PMID:35221810
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8856866/
Abstract

This paper investigates the connectedness between the COVID-19 outbreak and major financial markets within a time-frequency framework. Wavelet coherency analysis unveils perceptual differences between the short-term and longer-term markets' reactions. In the short-run, we find strong co-movements during the first and second waves of the pandemic. During the first wave, longer-term investors were driven by the belief of future pandemic demise. They make use of time diversification that results in positive returns. The US being the new coronavirus epicenter, we also find that the US COVID-19 fear spills over into the international markets. Gold, SSE, and cryptocurrencies seem safer investments.

摘要

本文在时频框架内研究了新冠疫情爆发与主要金融市场之间的关联性。小波相干分析揭示了短期和长期市场反应之间的显著差异。在短期内,我们发现在疫情的第一波和第二波期间存在强烈的共同变动。在第一波疫情期间,长期投资者受到疫情未来会消退这一信念的驱动。他们利用时间分散化实现了正回报。美国作为新冠病毒的震中,我们还发现美国对新冠疫情的恐慌蔓延到了国际市场。黄金、上证综指和加密货币似乎是更安全的投资选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f0/8856866/0aa8e03ab9ca/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f0/8856866/8b7cf93273a1/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f0/8856866/c9fd1a1d4785/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f0/8856866/0aa8e03ab9ca/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f0/8856866/8b7cf93273a1/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f0/8856866/c9fd1a1d4785/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f0/8856866/0aa8e03ab9ca/gr3_lrg.jpg

相似文献

1
COVID-19 pandemic waves and global financial markets: Evidence from wavelet coherence analysis.新冠疫情浪潮与全球金融市场:来自小波相干分析的证据
Financ Res Lett. 2022 Mar;45:102136. doi: 10.1016/j.frl.2021.102136. Epub 2021 May 16.
2
Volatility Interdependence Between Cryptocurrencies, Equity, and Bond Markets.加密货币、股票和债券市场之间的波动相互依存关系。
Comput Econ. 2022 Sep 22:1-31. doi: 10.1007/s10614-022-10318-7.
3
Unconditional and conditional analysis between covid-19 cases, temperature, exchange rate and stock markets using wavelet coherence and wavelet partial coherence approaches.使用小波相干和小波偏相干方法对新冠肺炎病例、温度、汇率和股票市场之间进行无条件和条件分析。
Heliyon. 2021 Feb 2;7(2):e06181. doi: 10.1016/j.heliyon.2021.e06181. eCollection 2021 Feb.
4
Time-frequency domain analysis of investor fear and expectations in stock markets of BRIC economies.金砖国家经济体股票市场中投资者恐惧与预期的时频域分析
Heliyon. 2021 Oct 19;7(10):e08211. doi: 10.1016/j.heliyon.2021.e08211. eCollection 2021 Oct.
5
Effects of the COVID-19 pandemic on the US stock market and uncertainty: A comparative assessment between the first and second waves.新冠疫情对美国股市及不确定性的影响:第一波与第二波的比较评估
Technol Forecast Soc Change. 2021 Jun;167:120710. doi: 10.1016/j.techfore.2021.120710. Epub 2021 Feb 27.
6
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.
7
The cross-impact between financial markets, Covid-19 pandemic, and economic sanctions: The case of Iran.金融市场、新冠疫情与经济制裁之间的交叉影响:以伊朗为例。
J Policy Model. 2021 Jan-Feb;43(1):34-55. doi: 10.1016/j.jpolmod.2020.08.001. Epub 2020 Sep 24.
8
Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US, Japan, and Germany.新冠疫情期间的原油市场与股票市场:来自美国、日本和德国的证据
Int Rev Financ Anal. 2021 Mar;74:101702. doi: 10.1016/j.irfa.2021.101702. Epub 2021 Feb 6.
9
Stock markets' reaction to COVID-19: Cases or fatalities?股票市场对新冠疫情的反应:病例还是死亡人数?
Res Int Bus Finance. 2020 Dec;54:101249. doi: 10.1016/j.ribaf.2020.101249. Epub 2020 May 23.
10
How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques.新冠疫情如何推动商品市场与金融市场之间的关联性:来自时变参数向量自回归模型(TVP-VAR)和分位数因果关系技术的证据
Resour Policy. 2021 Mar;70:101898. doi: 10.1016/j.resourpol.2020.101898. Epub 2020 Oct 20.

引用本文的文献

1
Exploring the connectedness between non-fungible token, decentralized finance and housing market: Deep insights from extreme events.探索非同质化代币、去中心化金融与房地产市场之间的关联性:来自极端事件的深刻见解。
Heliyon. 2024 Oct 9;10(20):e38224. doi: 10.1016/j.heliyon.2024.e38224. eCollection 2024 Oct 30.
2
Do commodities offer diversification benefits during the COVID-19 pandemic crisis? Evidence from dynamic spillover approach.在新冠疫情危机期间,大宗商品能带来多元化收益吗?来自动态溢出效应方法的证据。
Heliyon. 2024 Jun 13;10(12):e32738. doi: 10.1016/j.heliyon.2024.e32738. eCollection 2024 Jun 30.
3
Short-term effect of COVID-19 pandemic on cryptocurrency markets: A DCC-GARCH model analysis.

本文引用的文献

1
Searching for safe-haven assets during the COVID-19 pandemic.在新冠疫情期间寻找避险资产。
Int Rev Financ Anal. 2020 Oct;71:101526. doi: 10.1016/j.irfa.2020.101526. Epub 2020 May 23.
2
The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies.新冠疫情的传染效应:来自黄金和加密货币的证据。
Financ Res Lett. 2020 Jul;35:101554. doi: 10.1016/j.frl.2020.101554. Epub 2020 May 14.
3
COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach.
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
Heliyon. 2023 Aug 5;9(8):e18847. doi: 10.1016/j.heliyon.2023.e18847. eCollection 2023 Aug.
4
Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality.探索新冠疫情新闻对加密货币市场的非对称效应:来自非线性自回归分布滞后方法和频域因果关系的证据
Financ Innov. 2023;9(1):21. doi: 10.1186/s40854-022-00430-w. Epub 2023 Jan 13.
5
The role of foreign trade and technology innovation on economic recovery in China: The mediating role of natural resources development.对外贸易与技术创新在中国经济复苏中的作用:自然资源开发的中介作用。
Resour Policy. 2023 Jan;80:103121. doi: 10.1016/j.resourpol.2022.103121. Epub 2022 Dec 2.
6
Impact of liquidity spillovers among industrial sectors on stock markets during crisis periods: Evidence from the S&P 500 index.工业部门之间的流动性溢出对危机期间股票市场的影响:来自标准普尔 500 指数的证据。
PLoS One. 2022 Nov 17;17(11):e0277261. doi: 10.1371/journal.pone.0277261. eCollection 2022.
7
The impact of COVID-19 induced panic on stock market returns: A two-year experience.新冠疫情引发的恐慌对股市回报的影响:两年经验
Econ Anal Policy. 2022 Dec;76:1075-1097. doi: 10.1016/j.eap.2022.10.012. Epub 2022 Oct 28.
8
COVID-19 and the Economy: Summary of research and future directions.新冠疫情与经济:研究总结及未来方向
Financ Res Lett. 2022 Jun;47:102801. doi: 10.1016/j.frl.2022.102801. Epub 2022 Mar 15.
9
The Cryptocurrency Market in Transition before and after COVID-19: An Opportunity for Investors?新冠疫情前后处于转型期的加密货币市场:对投资者来说是个机会?
Entropy (Basel). 2022 Sep 19;24(9):1317. doi: 10.3390/e24091317.
10
An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis.应用时变参数向量自回归扩展联合连接方法来探究新冠疫情健康危机期间西德克萨斯中质原油、黄金、股票和加密货币之间的关联性。
Technol Forecast Soc Change. 2022 Oct;183:121909. doi: 10.1016/j.techfore.2022.121909. Epub 2022 Jul 26.
美国经济中新冠疫情、油价、股市、地缘政治风险与政策不确定性之间的联系:基于小波方法的新证据
Int Rev Financ Anal. 2020 Jul;70:101496. doi: 10.1016/j.irfa.2020.101496. Epub 2020 May 15.
4
Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis.新冠疫情与比特币的共同变动:来自小波相干分析的证据。
Financ Res Lett. 2021 Jan;38:101625. doi: 10.1016/j.frl.2020.101625. Epub 2020 Jun 3.
5
How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques.新冠疫情如何推动商品市场与金融市场之间的关联性:来自时变参数向量自回归模型(TVP-VAR)和分位数因果关系技术的证据
Resour Policy. 2021 Mar;70:101898. doi: 10.1016/j.resourpol.2020.101898. Epub 2020 Oct 20.
6
Stock markets' reaction to COVID-19: Cases or fatalities?股票市场对新冠疫情的反应:病例还是死亡人数?
Res Int Bus Finance. 2020 Dec;54:101249. doi: 10.1016/j.ribaf.2020.101249. Epub 2020 May 23.
7
Learning from SARS: Return and volatility connectedness in COVID-19.从非典中学习:新冠疫情中的收益率与波动率连通性
Financ Res Lett. 2021 Jul;41:101796. doi: 10.1016/j.frl.2020.101796. Epub 2020 Oct 16.
8
Fear of the coronavirus and the stock markets.对冠状病毒和股市的恐惧。
Financ Res Lett. 2020 Oct;36:101735. doi: 10.1016/j.frl.2020.101735. Epub 2020 Aug 26.
9
Infectious disease pandemic and permanent volatility of international stock markets: A long-term perspective.传染病大流行与国际股票市场的持续波动:长期视角
Financ Res Lett. 2021 May;40:101709. doi: 10.1016/j.frl.2020.101709. Epub 2020 Jul 30.
10
COVID-19 and the United States financial markets' volatility.新冠疫情与美国金融市场的波动。
Financ Res Lett. 2021 Jan;38:101699. doi: 10.1016/j.frl.2020.101699. Epub 2020 Jul 25.