COVID-19 and firms' financial health in Brescia: a simulation with Logistic regression and neural networks-Reference-Cited by-同舟云学术

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

Published:2021 Issue:3 Volume:3 Page:293-309
ISSN:2689-3010
Container-title:National Accounting Review
language:
Short-container-title:NAR

Author:

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

Abstract

<abstract><p>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.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

General Medicine

Reference33 articles.

1. Altman EI (1968) Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. J Financ 23: 589-609.

2. Altman EI, Haldeman RG, Narayanan P (1977) ZETA analysis. A new model to identify bankruptcy risk of corporations. J Bank Financ 1: 29-54.

3. Altman EI, Marco G, Varetto F (1994) Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience). J Bank Financ 18: 505-529.

4. Amatori F, Bugamelli M, Colli A (2013) Technology, firm size, and entrepreneurship. In: The Oxford Handbook of the Italian Economy Since Unification.

5. Back B, Laitinen T, Sere K (1996) Neural networks and genetic algorithms for bankruptcy predictions. Expert Syst Appl 11: 407-413.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. STATE REGULATOR’S ROLE IN THE COUNTRY’S BANKING SYSTEM DURING WARTIME;Financial and credit activity problems of theory and practice;2023-04-30

2. Assessment of the Bankruptcy Risk in the Hotel Industry as a Condition of the COVID-19 Crisis Using Time-Delay Neural Networks;Sustainability;2022-12-23

3. Assessing the Impact of the COVID-19 Crisis on Hotel Industry Bankruptcy Risk through Novel Forecasting Models;Sustainability;2022-04-13

4. Design of Financial Management Model Using the Forward Neural Network Based on Particle Swarm Optimization Algorithm;Computational Intelligence and Neuroscience;2022-01-30

5. Machine-learning models for bankruptcy prediction: do industrial variables matter?;Spatial Economic Analysis;2021-10-07