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

Alberto Bernardi, Daniela Bragoli, Davide Fedreghini, Tommaso Ganugi and Giovanni Marseguerra ()
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Giovanni Marseguerra: Università Cattolica del Sacro Cuore

No dime21_01, DiMSEFA - Quaderni del Dipartimento di Matematica per le Scienze Economiche, Finanziarie ed Attuariali from Università Cattolica del Sacro Cuore, Dipartimento di Matematica per le Scienze Economiche, Finanziarie ed Attuariali (DiMSEFA)

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.

Keywords: COVID-19; financial statements; machine learning; Brescia. (search for similar items in EconPapers)
JEL-codes: C45 C52 G33 L23 R11 (search for similar items in EconPapers)
Pages: 35
Date: 2021-01
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