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

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

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

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

^*Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in libro › Chapter

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 originale	English
Titolo della pubblicazione ospite	Working Paper N 21/1, DIPARTIMENTO DI MATEMATICA PER LE SCIENZE ECONOMICHE, FINANZIARIE ED ATTUARIALI
Pagine	3-35
Numero di pagine	33
Stato di pubblicazione	Pubblicato - 2021

Keywords

Brescia
COVID-19
Italy
financial statements
machine learning

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T1 - COVID-19 and firms’ financial health in Brescia: A simulation with Machine Learning

AU - Bernardi, Alberto

AU - Bragoli, Daniela

AU - Fedreghini, Davide

AU - Ganugi, Tommaso

AU - Marseguerra, Giovanni

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Brescia

KW - COVID-19

KW - Italy

KW - financial statements

KW - machine learning

KW - Brescia

KW - COVID-19

KW - Italy

KW - financial statements

KW - machine learning

UR - http://hdl.handle.net/10807/173857

M3 - Chapter

SN - 978-88-343-4570-2

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EP - 35

BT - Working Paper N 21/1, DIPARTIMENTO DI MATEMATICA PER LE SCIENZE ECONOMICHE, FINANZIARIE ED ATTUARIALI

ER -

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

Abstract

Keywords

Altri file e collegamenti

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