COVID-19 and firms’ financial health in Brescia: a simulation with Logistic regression and neural networks

A Bernardi; Daniela Bragoli; D Fedreghini; T Ganugi; Giovanni Marseguerra

doi:10.3934/NAR.2021015

COVID-19 and firms’ financial health in Brescia: a simulation with Logistic regression and neural networks

A Bernardi, Daniela Bragoli^*, D Fedreghini, T Ganugi, Giovanni Marseguerra

^*Corresponding author

Research output: Contribution to journal › Article

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 bankruptcy models\r\nwith 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 language	English
Pages (from-to)	293-309
Number of pages	17
Journal	NATIONAL ACCOUNTING REVIEW
Volume	volume 3
Issue number	issue 3
DOIs	https://doi.org/10.3934/NAR.2021015
Publication status	Published - 2021

All Science Journal Classification (ASJC) codes

Economics and Econometrics

Keywords

COVID-19
financial statements
logistic regression
neural networks

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10.3934/NAR.2021015

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title = "COVID-19 and firms{\textquoteright} financial health in Brescia: a simulation with Logistic regression and neural networks",

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{\textquoteright} financial statements in Brescia. The shocked information is then fed into two bankruptcy models\r\nwith the aim of providing an up-to-date picture of firms{\textquoteright} economic health in one of the most prosperous industrial areas in Italy and Europe.",

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language = "English",

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AU - Bernardi, A

AU - Bragoli, Daniela

AU - Fedreghini, D

AU - Ganugi, T

AU - Marseguerra, Giovanni

PY - 2021

Y1 - 2021

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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 bankruptcy models\r\nwith 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 - COVID-19

KW - financial statements

KW - logistic regression

KW - neural networks

KW - COVID-19

KW - financial statements

KW - logistic regression

KW - neural networks

UR - https://publicatt.unicatt.it/handle/10807/183954

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JO - NATIONAL ACCOUNTING REVIEW

JF - NATIONAL ACCOUNTING REVIEW

IS - issue 3

ER -

COVID-19 and firms’ financial health in Brescia: a simulation with Logistic regression and neural networks

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All Science Journal Classification (ASJC) codes

Keywords

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