Predicting Credit Risk for Unsecured Lending: A Machine Learning Approach
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- Peter Martey Addo & Dominique Guégan & Bertrand Hassani, 2018. "Credit Risk Analysis using Machine and Deep learning models," Documents de travail du Centre d'Economie de la Sorbonne 18003, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
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- Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis using Machine and Deep learning models," Working Papers 2018:08, Department of Economics, University of Venice "Ca' Foscari".
- Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis using Machine and Deep Learning models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01719983, HAL.
- Dominique Guegan & Peter Martey Addo & Bertrand Hassani, 2018. "Credit Risk Analysis Using Machine and Deep Learning Models," Post-Print halshs-01835164, HAL.
- Dominique Guegan, 2018. "Credit Risk Analysis Using machine and Deep Learning Models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01889154, HAL.
- Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis using Machine and Deep Learning models," Post-Print halshs-01719983, HAL.
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Cited by:
- Victor Chang & Sharuga Sivakulasingam & Hai Wang & Siu Tung Wong & Meghana Ashok Ganatra & Jiabin Luo, 2024. "Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card Customers," Risks, MDPI, vol. 12(11), pages 1-33, November.
- Faraz Ahmed & Kehkashan Nizam & Zubair Sajid & Sunain Qamar & Ahsan, 2024. "Striking a Balance: Evaluating Credit Risk with Traditional and Machine Learning Models," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(3), pages 30-35.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-BAN-2021-10-11 (Banking)
- NEP-BIG-2021-10-11 (Big Data)
- NEP-CMP-2021-10-11 (Computational Economics)
- NEP-FOR-2021-10-11 (Forecasting)
- NEP-RMG-2021-10-11 (Risk Management)
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