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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| Wydane w: | Estudios Gerenciales |
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| Główni autorzy: | , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Universidad ICESI
2019
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| Hasła przedmiotowe: | |
| Dostęp online: | https://www.redalyc.org/articulo.oa?id=21262744002 https://www.redalyc.org/journal/212/21262744002/ https://www.redalyc.org/journal/212/21262744002/html/ https://www.redalyc.org/journal/212/21262744002/21262744002.epub https://www.redalyc.org/journal/212/21262744002/movil |
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