Stock markets and the COVID-19 fractal contagion effects

David Okorie and Boqiang Lin ()

Finance Research Letters, 2021, vol. 38, issue C

Abstract: 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.

Keywords: Return; Volatility; Stock markets; Cross-correlation; Contagion (search for similar items in EconPapers)
JEL-codes: F36 N20 O16 P34 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (77)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:38:y:2021:i:c:s1544612320305638

DOI: 10.1016/j.frl.2020.101640

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