Suppr超能文献

新冠疫情导致的行业波动与经济不确定性:来自小波相干分析的证据

Industry volatility and economic uncertainty due to the COVID-19 pandemic: Evidence from wavelet coherence analysis.

作者信息

Choi Sun-Yong

机构信息

Department of Financial Mathematics, Gachon University, Gyeoggi 13120, Republic of Korea.

出版信息

Financ Res Lett. 2020 Nov;37:101783. doi: 10.1016/j.frl.2020.101783. Epub 2020 Sep 29.

Abstract

This study investigates the impact of economic uncertainty due to the coronavirus (COVID-19) pandemic on the industrial economy in the US in terms of the interdependence and causality relationship. We apply wavelet coherence analysis to economic policy uncertainty (EPU) data and monthly sector volatility of the S&P 500 index from January 2008 to May 2020. The results reveal that EPU in terms of COVID-19 has influenced the sector volatility more than the global financial crisis (GFC) for all sectors. Furthermore, EPU leads the volatility of all sectors during COVID-19 pandemic, while some sector's volatilities lead EPU during the GFC.

摘要

本研究从相互依存关系和因果关系的角度,调查了冠状病毒(COVID-19)大流行导致的经济不确定性对美国工业经济的影响。我们将小波相干分析应用于2008年1月至2020年5月的经济政策不确定性(EPU)数据和标准普尔500指数的月度行业波动率。结果表明,就所有行业而言,COVID-19相关的EPU对行业波动率的影响超过了全球金融危机(GFC)。此外,在COVID-19大流行期间,EPU引领所有行业的波动率,而在全球金融危机期间,一些行业的波动率引领EPU。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce49/7524523/f4b2df5a958f/gr1_lrg.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验