Inner composition alignment networks reveal financial impacts of COVID-19

ABSTRACT: We show that inner composition alignment networks derived for financial time-series data, studied in response to worldwide lockdown imposed in response to COVID-19 situation, show distinct patterns before, during and after lockdown phase. It is observed that significant couplings between companies as captured by inner composition alignment between time series, reduced considerably across the globe during lockdown and post-lockdown recovery period. The study of global community structure of the networks show that factions of companies emerge during recovery phase, with strong coupling within the members of the faction group, a trend which was absent before lockdown period. The study of strongly connected components of the networks further show that market has fragmented in response to COVID

SUBMITTER: Upadhyay S 

PROVIDER: S-EPMC9707026 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature