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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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Publicat a:RAUSP Management Journal
Autors principals: Daniel Abreu Vasconcellos de Paula, Rinaldo Artes, Fabio Ayres, Andrea Maria Accioly Fonseca Minardi
Format: Artigo
Idioma:Inglês
Publicat: Universidade de São Paulo 2019
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Accés en línia: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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