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Estimating credit and profit scoring of a Brazilian credit union with logistic regression and machine-learning techniques
Purpose – Although credit unions are nonprofit organizations, their objectives depend on the efficient management of their resources and credit risk aligned with the principles of the cooperative doctrine. This paper aims to propose the combined use of credit scoring and profit scoring to increase t...
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| 出版年: | RAUSP Management Journal |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Universidade de São Paulo
2019
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| 主題: | |
| オンライン･アクセス: | https://www.redalyc.org/articulo.oa?id=553860104006 https://www.redalyc.org/journal/5538/553860104006/ https://www.redalyc.org/journal/5538/553860104006/html/ https://www.redalyc.org/journal/5538/553860104006/553860104006.epub https://www.redalyc.org/journal/5538/553860104006/movil |
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