[eng] This study investigates the effects of the Covid-19 pandemic on the
topological properties of both American and Brazilian stock markets. We
build a minimal spanning tree before and during the pandemic using
the correlation matrix of stocks available at the S&P500 and IBOV
stock indices. We use network measures to assess the most central
sectors and quantify the changes they undergo during the pandemic. Our
results show that normalized tree length decreases as the correlation
coefficient increases during crises; however, the mean occupational layer
increases during a pandemic contrary to regular financial crises. We find
the Financial, Industrial, and Information Technology sectors maintain
dominance over the American market during and after the pandemic,
while in Brazil, the Consumer Discretionary sector shows dominance
before and after the pandemic, while the Energy and Industrial sectors
become more central during the pandemic.