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The Brazilian financial market reaction to COVID-19: A wavelet analysis

Antonio Costa, Cristiano da Silva and Paulo Matos

International Review of Economics & Finance, 2022, vol. 82, issue C, 13-29

Abstract: We study the Brazilian stock market response to the COVID-19 pandemic. Considering the COVID-19 data from January 22, 2020, to August 31, 2021, and a daily dataset comprised of the Bovespa index - the main performance indicator of the stocks in the Brazilian capital market -, its sector components, and COVID-19 cases and deaths in the most affected countries, we employ the wavelet tools of partial coherences, partial phase differences, dissimilarities, and VaR ratio. We find significant partial coherence spots, decrease in dissimilarity, and increase in VaR ratio suggesting the Brazilian stock market responded forcefully to COVID-19 local and international data and that this response varies over time and frequencies being modulated by the local stage of outbreak. The results also suggest a higher response to deaths data and that both market wide response and the sector contagion are more evident on longer term frequencies.

Keywords: Brazilian stock market; COVID-19 impacts; Lead-lag conditional relationships; Time-frequency domain; Wavelets (search for similar items in EconPapers)
JEL-codes: C63 G12 H12 O16 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:82:y:2022:i:c:p:13-29

DOI: 10.1016/j.iref.2022.05.010

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