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疫情、公众情绪与传染病权益市场波动

Epidemics, Public Sentiment, and Infectious Disease Equity Market Volatility.

机构信息

Jiaxing Vocational and Technical College, Jiaxing, China.

Institute of World Economics and Politics, Chinese Academy of Social Sciences, Beijing, China.

出版信息

Front Public Health. 2021 May 14;9:686870. doi: 10.3389/fpubh.2021.686870. eCollection 2021.

DOI:10.3389/fpubh.2021.686870
PMID:34055733
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8160087/
Abstract

This article studies the relationship between the COVID-19 epidemic, public sentiment, and the volatility of infectious disease equities from the perspective of the United States. We use weekly data from January 3, 2020 to March 7, 2021. This provides a sufficient dataset for empirical analysis. Granger causality test results prove the two-way relationship between the fluctuation of infectious disease equities and confirmed cases. In addition, confirmed cases will cause the public to search for COVID-19 tests, and COVID-19 tests will also cause fluctuations in infectious disease equities, but there is no reverse correlation. The results of this research are useful to investors and policy makers. Investors can use the number of confirmed cases to predict the volatility of infectious disease equities. Similarly, policy makers can use the intervention of retrieved information to stabilize public sentiment and equity market fluctuations, and integrate a variety of information to make more scientific judgments on the trends of the epidemic.

摘要

本文从美国的角度研究了 COVID-19 疫情、公众情绪与传染病股票波动之间的关系。我们使用了 2020 年 1 月 3 日至 2021 年 3 月 7 日的周度数据。这为实证分析提供了充足的数据集。格兰杰因果检验结果证明了传染病股票波动与确诊病例之间的双向关系。此外,确诊病例将导致公众搜索 COVID-19 检测,COVID-19 检测也将导致传染病股票波动,但没有反向相关关系。这项研究的结果对投资者和政策制定者都很有用。投资者可以使用确诊病例的数量来预测传染病股票的波动。同样地,政策制定者可以利用检索信息的干预来稳定公众情绪和股票市场波动,并整合各种信息,对疫情趋势做出更科学的判断。

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本文引用的文献

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Which popular predictor is more useful to forecast international stock markets during the coronavirus pandemic: VIX vs EPU?在新冠疫情期间,哪种流行的预测指标对预测国际股票市场更有用:波动率指数(VIX)还是经济政策不确定性指数(EPU)?
Int Rev Financ Anal. 2020 Nov;72:101596. doi: 10.1016/j.irfa.2020.101596. Epub 2020 Sep 28.
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COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach.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
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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?
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Have COVID-19-Related Economic Shocks Affected the Health Levels of Individuals in the United States and the United Kingdom?新冠疫情相关经济冲击对美英两国个人健康水平有影响吗?
Front Public Health. 2020 Dec 9;8:611325. doi: 10.3389/fpubh.2020.611325. eCollection 2020.
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Google Trends Data and COVID-19 in Europe: Correlations and model enhancement are European wide.谷歌趋势数据与欧洲的 COVID-19:相关性和模型改进是全欧洲范围的。
Transbound Emerg Dis. 2021 Jul;68(4):2610-2615. doi: 10.1111/tbed.13887. Epub 2020 Nov 17.
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The role of the IDEMV in predicting European stock market volatility during the COVID-19 pandemic.IDEMV在预测新冠疫情期间欧洲股市波动性方面的作用。
Financ Res Lett. 2020 Oct;36:101749. doi: 10.1016/j.frl.2020.101749. Epub 2020 Sep 3.
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COVID-19 and the march 2020 stock market crash. Evidence from S&P1500.2019冠状病毒病与2020年3月股市崩盘。标准普尔1500指数的证据。
Financ Res Lett. 2021 Jan;38:101690. doi: 10.1016/j.frl.2020.101690. Epub 2020 Jul 9.
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Analysis of dermatologic conditions in Turkey and Italy by using Google Trends analysis in the era of the COVID-19 pandemic.利用 COVID-19 大流行时代的谷歌趋势分析研究土耳其和意大利的皮肤病状况。
Dermatol Ther. 2020 Nov;33(6):e13949. doi: 10.1111/dth.13949. Epub 2020 Jul 27.
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Assessment of the Impact of Media Coverage on COVID-19-Related Google Trends Data: Infodemiology Study.媒体报道对与新冠病毒相关的谷歌趋势数据的影响评估:信息流行病学研究
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