Stock markets and the COVID-19 fractal contagion effects

•This paper investigates the fractal contagion effects of COVID-19 on the Stock Markets.•The DMCA and DCCA techniques are used to test the fractal contagion hypothesis.•Found significant fractal contagion effects on the stock markets return and volatility.•The COVID-19 fractal contagion effects on t...

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Published inFinance research letters Vol. 38; p. 101640
Main Authors Okorie, David Iheke, Lin, Boqiang
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Inc 01.01.2021
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Abstract •This paper investigates the fractal contagion effects of COVID-19 on the Stock Markets.•The DMCA and DCCA techniques are used to test the fractal contagion hypothesis.•Found significant fractal contagion effects on the stock markets return and volatility.•The COVID-19 fractal contagion effects on the stock market fizzle over the medium and long time horizons. This article investigates the fractal contagion effect of the COVID-19 pandemic on the stock markets. The stock market information of the top 32 coronavirus affected economies (as of 31st March 2020) was sampled for ex-ante and ex-post COVID-19 outbreak analysis using the Detrended Moving Cross-Correlation Analysis (DMCA) and Detrended Cross-Correlation Analysis (DCCA) techniques. The results confirm a fractal contagion effect of the COVID-19 pandemic on the stock markets. Furthermore, this fractal contagion effect fizzles out over time (in the middle and long run) for both the stock markets return and volatility. Therefore, this article provides pieces of evidence for the COVID-19 fractal contagion effect on the stock markets.
AbstractList This article investigates the fractal contagion effect of the COVID-19 pandemic on the stock markets. The stock market information of the top 32 coronavirus affected economies (as of 31st March 2020) was sampled for ex-ante and ex-post COVID-19 outbreak analysis using the Detrended Moving Cross-Correlation Analysis (DMCA) and Detrended Cross-Correlation Analysis (DCCA) techniques. The results confirm a fractal contagion effect of the COVID-19 pandemic on the stock markets. Furthermore, this fractal contagion effect fizzles out over time (in the middle and long run) for both the stock markets return and volatility. Therefore, this article provides pieces of evidence for the COVID-19 fractal contagion effect on the stock markets.
•This paper investigates the fractal contagion effects of COVID-19 on the Stock Markets.•The DMCA and DCCA techniques are used to test the fractal contagion hypothesis.•Found significant fractal contagion effects on the stock markets return and volatility.•The COVID-19 fractal contagion effects on the stock market fizzle over the medium and long time horizons. This article investigates the fractal contagion effect of the COVID-19 pandemic on the stock markets. The stock market information of the top 32 coronavirus affected economies (as of 31st March 2020) was sampled for ex-ante and ex-post COVID-19 outbreak analysis using the Detrended Moving Cross-Correlation Analysis (DMCA) and Detrended Cross-Correlation Analysis (DCCA) techniques. The results confirm a fractal contagion effect of the COVID-19 pandemic on the stock markets. Furthermore, this fractal contagion effect fizzles out over time (in the middle and long run) for both the stock markets return and volatility. Therefore, this article provides pieces of evidence for the COVID-19 fractal contagion effect on the stock markets.
This article investigates the fractal contagion effect of the COVID-19 pandemic on the stock markets. The stock market information of the top 32 coronavirus affected economies (as of 31st March 2020) was sampled for ex-ante and ex-post COVID-19 outbreak analysis using the Detrended Moving Cross-Correlation Analysis (DMCA) and Detrended Cross-Correlation Analysis (DCCA) techniques. The results confirm a fractal contagion effect of the COVID-19 pandemic on the stock markets. Furthermore, this fractal contagion effect fizzles out over time (in the middle and long run) for both the stock markets return and volatility. Therefore, this article provides pieces of evidence for the COVID-19 fractal contagion effect on the stock markets.This article investigates the fractal contagion effect of the COVID-19 pandemic on the stock markets. The stock market information of the top 32 coronavirus affected economies (as of 31st March 2020) was sampled for ex-ante and ex-post COVID-19 outbreak analysis using the Detrended Moving Cross-Correlation Analysis (DMCA) and Detrended Cross-Correlation Analysis (DCCA) techniques. The results confirm a fractal contagion effect of the COVID-19 pandemic on the stock markets. Furthermore, this fractal contagion effect fizzles out over time (in the middle and long run) for both the stock markets return and volatility. Therefore, this article provides pieces of evidence for the COVID-19 fractal contagion effect on the stock markets.
ArticleNumber 101640
Author Lin, Boqiang
Okorie, David Iheke
Author_xml – sequence: 1
  givenname: David Iheke
  surname: Okorie
  fullname: Okorie, David Iheke
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  fullname: Lin, Boqiang
  email: bqlin@xmu.edu.cn, bqlin2004@vip.sina.com
  organization: School of Management, China Institute for Studies in Energy Policy, Collaborative Innovation Center for Energy Economics and Energy Policy, Xiamen University, Fujian, 361005, China
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  issue: 52
  year: 2009
  ident: 10.1016/j.frl.2020.101640_bib0029
  article-title: Cross-correlations between volume change and price change
  publication-title: Proc. Natl. Acad. Sci. U.S.A.
  doi: 10.1073/pnas.0911983106
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Snippet •This paper investigates the fractal contagion effects of COVID-19 on the Stock Markets.•The DMCA and DCCA techniques are used to test the fractal contagion...
This article investigates the fractal contagion effect of the COVID-19 pandemic on the stock markets. The stock market information of the top 32 coronavirus...
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StartPage 101640
SubjectTerms Contagion
Cross-correlation
Return
Stock markets
Volatility
Title Stock markets and the COVID-19 fractal contagion effects
URI https://dx.doi.org/10.1016/j.frl.2020.101640
https://www.ncbi.nlm.nih.gov/pubmed/32837366
https://www.proquest.com/docview/2437119497
https://pubmed.ncbi.nlm.nih.gov/PMC7275187
Volume 38
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