EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks
Tamás Kristóf, Miklós Virág
| Year of publication: |
2022
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|---|---|
| Authors: | Kristóf, Tamás ; Virág, Miklós |
| Published in: |
Research in international business and finance. - Amsterdam [u.a.] : Elsevier, ISSN 0275-5319, ZDB-ID 424514-3. - Vol. 61.2022, p. 1-17
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| Subject: | Bank failure | Classification | Credit risk modeling | Machine learning | Bankinsolvenz | Künstliche Intelligenz | Artificial intelligence | Kreditrisiko | Credit risk | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Theorie | Theory | Lernprozess | Learning process | Entscheidungsbaum | Decision tree | Insolvenz | Insolvency | Kreditwürdigkeit | Credit rating |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ribaf.2022.101644 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014240075