COVID-19 and firms’ financial health in Brescia: A simulation with Machine Learning

Daniela Bragoli, Tommaso Ganugi, Giovanni Marseguerra, Davide Fedreghini, Bernardi Alberto

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

COVID-19 has generated an unprecedented shock to the global economy causing both the decrease in demand and supply. The purpose of this paper is to simulate the effect of COVID-19 on firms' financial statements in Brescia. The shocked information is then fed into two machine learning bankruptcy models with the aim of providing an up-to-date picture of firms' economic health in one of the most prosperous industrial areas in Italy and Europe.
Original languageEnglish
Title of host publicationWorking Paper N 21/1, DIPARTIMENTO DI MATEMATICA PER LE SCIENZE ECONOMICHE, FINANZIARIE ED ATTUARIALI
Pages3-35
Number of pages33
Publication statusPublished - 2021

Keywords

  • COVID-19
  • financial statements
  • Italy
  • Brescia
  • machine learning

Fingerprint

Dive into the research topics of 'COVID-19 and firms’ financial health in Brescia: A simulation with Machine Learning'. Together they form a unique fingerprint.

Cite this