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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...

詳細記述

保存先:
書誌詳細
出版年:RAUSP Management Journal
主要な著者: Daniel Abreu Vasconcellos de Paula, Rinaldo Artes, Fabio Ayres, Andrea Maria Accioly Fonseca Minardi
フォーマット: Artigo
言語:Inglês
出版事項: Universidade de São Paulo 2019
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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