Neural Networks in Credit Risk Classification of Companies in the Construction Sector
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Abstract
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DOI: 10.33119/ERFIN.2017.2.2.1
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References listed on IDEAS
- Sihem Khemakhem & Younes Boujelbene, 2015. "Credit Risk Prediction: A Comparative Study between Discriminant Analysis and the Neural Network Approach," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 14(1), pages 60-78, March.
- Bart Baesens & Rudy Setiono & Christophe Mues & Jan Vanthienen, 2003. "Using Neural Network Rule Extraction and Decision Tables for Credit-Risk Evaluation," Management Science, INFORMS, vol. 49(3), pages 312-329, March.
- Adel KARAA & Aida KRICHENE, 2012. "Credit–Risk Assessment Using Support Vectors Machine and Multilayer Neural Network Models: A Comparative Study Case of a Tunisian Bank," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 11(4), pages 587-620, December.
- Angelini, Eliana & di Tollo, Giacomo & Roli, Andrea, 2008. "A neural network approach for credit risk evaluation," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(4), pages 733-755, November.
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Cited by:
- Bruno Reis & António Quintino, 2023. "Evaluating Classical and Artificial Intelligence Methods for Credit Risk Analysis," Journal of Economic Analysis, Anser Press, vol. 2(3), pages 94-112, May.
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More about this item
Keywords
credit risk; neural networks; financial ratios; credit risk decision-making;All these keywords.
JEL classification:
- G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
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