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

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

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...

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Bibliographic Details
Main Authors: Alberto Bernardi, Daniela Bragoli, Davide Fedreghini, Tommaso Ganugi, Giovanni Marseguerra
Format: Article
Language:English
Published: AIMS Press 2021-08-01
Series:National Accounting Review
Subjects:
covid-19
financial statements
logistic regression
neural networks
brescia
Online Access:https://www.aimspress.com/article/doi/10.3934/NAR.2021015?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/NAR.2021015?viewType=HTML

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