Classification methods applied to credit scoring: A systematic review and overall comparison
Abstract
The need for controlling and effectively managing credit risk has led financial institutions to excel in improving techniques designed for this purpose, resulting in the development of various quantitative models by financial institutions and consulting companies. Hence, the growing number of academic studies about credit scoring shows a variety of classification methods applied to discriminate good and bad borrowers. This paper, therefore, aims to present a systematic literature review relating theory and application of binary classification techniques for credit scoring financial analysis. The general results show the use and importance of the main techniques for credit rating, as well as some of the scientific paradigm changes throughout the years.
Cite
@article{arxiv.1602.02137,
title = {Classification methods applied to credit scoring: A systematic review and overall comparison},
author = {Francisco Louzada and Anderson Ara and Guilherme B. Fernandes},
journal= {arXiv preprint arXiv:1602.02137},
year = {2016}
}