COVID-19 Pandemic and Stock Market Contagion: A Wavelet-Copula GARCH Approach
Huthaifa Alqaralleh (),
Alessandra Canepa and
Emilio Zanetti Chini ()
Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin
Abstract:
In this study, we examine the influence of the COVID-19 pandemic on stock market contagion. Empirical analysis is conducted on six major stock markets using a wavelet-copula GARCH approach to account for both the time and the frequency aspects of stock market correlation. We find strong evidence of contagion in the stock markets under consideration during the COVID-19 pandemic..
Pages: pages 13
Date: 2020-06
New Economics Papers: this item is included in nep-fmk
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.est.unito.it/do/home.pl/Download?doc=/ ... 20dip/wp_12_2020.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:uto:dipeco:202012
Access Statistics for this paper
More papers in Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin Contact information at EDIRC.
Bibliographic data for series maintained by Laura Ballestra () and Cinzia Carlevaris ().