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

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

Risultato della ricerca: Contributo in libroChapter

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.
Lingua originaleEnglish
Titolo della pubblicazione ospiteWorking Paper N 21/1, DIPARTIMENTO DI MATEMATICA PER LE SCIENZE ECONOMICHE, FINANZIARIE ED ATTUARIALI
Pagine3-35
Numero di pagine33
Stato di pubblicazionePubblicato - 2021

Keywords

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

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