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

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

doi:10.3934/NAR.2021015

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

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

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

Keywords

COVID-19
neural networks
logistic regression
financial statements

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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 with 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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author = "Daniela Bragoli and Giovanni Marseguerra and Davide Fedreghini and Tommaso Ganugi and A Bernardi",

year = "2021",

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language = "English",

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publisher = "Springfield MO: AIMS Press, 2019-",

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AU - Bragoli, Daniela

AU - Marseguerra, Giovanni

AU - Fedreghini, Davide

AU - Ganugi, Tommaso

AU - Bernardi, A

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 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 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 - COVID-19

KW - neural networks

KW - logistic regression

KW - financial statements

KW - COVID-19

KW - neural networks

KW - logistic regression

KW - financial statements

UR - http://hdl.handle.net/10807/183954

U2 - 10.3934/NAR.2021015

DO - 10.3934/NAR.2021015

M3 - Article

VL - volume 3

SP - 293

EP - 309

JO - NATIONAL ACCOUNTING REVIEW

JF - NATIONAL ACCOUNTING REVIEW

SN - 2689-3010

ER -

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

Abstract

Keywords

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