Network Based Evidence of the Financial Impact of Covid-19 Pandemic
Daniel Felix Ahelegbey (),
Paola Cerchiello () and
Roberta Scaramozzino ()
Additional contact information
Paola Cerchiello: University of Pavia
Roberta Scaramozzino: University of Pavia
No 198, DEM Working Papers Series from University of Pavia, Department of Economics and Management
How much the largest worldwide companies, belonging to different sectors of the economy, are suffering from the pandemic? Are economic relations among them changing? In this paper, we address such issues by analysing the top 50 S&P companies by means of market and textual data. Our work proposes a network analysis model that combines such two types of information to highlight the connections among companies with the purpose of investigating the relationships before and during the pandemic crisis. In doing so, we leverage a large amount of textual data through the employment of a sentiment score which is coupled with standard market data. Our results show that the COVID-19 pandemic has largely affected the US productive system, however differently sector by sector and with more impact during the second wave compared to the first.
Keywords: COVID-19 Pandemic; Textual analysis; Financial risk; Network model (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-net and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pav:demwpp:demwp0198
Access Statistics for this paper
More papers in DEM Working Papers Series from University of Pavia, Department of Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by Alice Albonico ( this e-mail address is bad, please contact ).