Analysis of credit risk faced by public companies in Brazil: an approach based on discriminant analysis, logistic regression and artificial neural networks

The aims of the present article are to identify the economic-financial indicators that best characterize Brazilian public companies through credit-granting analysis and to assess the most accurate techniques used to forecast business bankruptcy. Discriminant analysis, logistic regression and neural...

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Bibliographic Details

Published in:	Estudios Gerenciales
Main Authors:	José Willer do Prado, Francisval de Melo Carvalho, Gideon Carvalho de Benedicto, André Luis Ribeiro Lima
Format:	Article
Language:	Spanish
Published:	Universidad ICESI 2019-12-01
Subjects:	credit risk bankruptcy brazil financial indicator
Online Access:	https://www.icesi.edu.co/revistas/index.php/estudios_gerenciales/article/view/3151