Network based evidence of the financial impact of Covid-19 pandemic br

How much the largest worldwide companies, belonging to different sectors of the economy, are sufferingfrom the pandemic? Are economic relations among them changing? In this paper, we address such issues byanalyzing the top 50 S&P companies by means of market and textual data. Our work proposes a networkanalysis model that combines such two types of information to highlight the connections among companieswith the purpose of investigating the relationships before and during the pandemic crisis. In doing so, weleverage a large amount of textual data through the employment of a sentiment score which is coupled withstandard market data. Our results show that the COVID-19 pandemic has largely affected the US productivesystem, however differently sector by sector and with more impact during the second wave compared to thefirst.