A new dynamic modeling framework for credit risk assessment

Author:

Sousa Maria Rocha,Gama JoãoORCID,Brandão Elísio

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference70 articles.

1. Credit scoring, statistical techniques and evaluation criteria: A review of the literature;Abdou;Intelligent Systems in Accounting, Finance and Management,2011

2. Temporally-adaptive linear classification for handling population drift in credit scoring;Adams,2010

3. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy;Altman;Journal of Finance,1968

4. The credit scoring toolkit: Theory and practice for retail credit risk management and decision automation;Anderson,2007

5. Consumer credit scoring: Do situational circumstances matter?;Avery;Journal of Banking & Finance,2004

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