Predicting bank failure : an improvement by implementing a machine-learning approach to classical financial ratios
Hong Hanh Le, Jean-Laurent Viviani
| Year of publication: |
April 2018
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|---|---|
| Authors: | Le, Hong Hanh ; Viviani, Jean-Laurent |
| Published in: |
Research in international business and finance. - Amsterdam [u.a.] : Elsevier, ISSN 0275-5319, ZDB-ID 424514-3. - Vol. 44.2018, p. 16-25
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| Subject: | Failure prediction | Intelligent techniques | Artificial neural network | Support vector machines | K-nearest neighbors | US banks | Prognoseverfahren | Forecasting model | Bankinsolvenz | Bank failure | Neuronale Netze | Neural networks | Mustererkennung | Pattern recognition | Betriebliche Kennzahl | Financial ratio | Künstliche Intelligenz | Artificial intelligence | Kreditwürdigkeit | Credit rating | Insolvenz | Insolvency |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ribaf.2017.07.104 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011982957