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 in | Finance research letters Vol. 38; p. 101640 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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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. |
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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 organization: Wang Yanan Institute for Studies in Economics (WISE), Xiamen University, 422 South Siming Road, Xiamen, 361005, China – sequence: 2 givenname: Boqiang surname: Lin 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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Keywords | P34 Contagion Return O16 Volatility F36 N20 Stock markets Cross-correlation |
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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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SubjectTerms | Contagion Cross-correlation Return Stock markets Volatility |
Title | Stock markets and the COVID-19 fractal contagion effects |
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