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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | Spanish |
| Published: |
Universidad ICESI
2019-12-01
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| Series: | Estudios Gerenciales |
| Subjects: | |
| Online Access: | https://www.icesi.edu.co/revistas/index.php/estudios_gerenciales/article/view/3151 |