2016/02/05 by Francisco Louzada, Louzada, Francisco, Anderson Ara +3 · 2 citations
Business, Management and Accounting · #Financial Distress and Bankruptcy Prediction
paper · pdf · doi:10.48550/arxiv.1602.02137
The need for controlling and effectively managing credit risk has led\nfinancial institutions to excel in improving techniques designed for this\npurpose, resulting in the development of various quantitative models by\nfinancial institutions and consulting companies. Hence, the growing number of\nacademic studies about credit scoring shows a variety of classification methods\napplied to discriminate good and bad borrowers. This paper, therefore, aims to\npresent a systematic literature review relating theory and application of\nbinary classification techniques for credit scoring financial analysis. The\ngeneral results show the use and importance of the main techniques for credit\nrating, as well as some of the scientific paradigm changes throughout the\nyears.\n