Predicting failure in the US banking sector : an extreme gradient boosting approach
Pedro Carmona, Francisco Climent, Alexandre Momparler
| Year of publication: |
2019
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|---|---|
| Authors: | Carmona, Pedro ; Climent, Francisco ; Momparler, Alexandre |
| Published in: |
International review of economics & finance : IREF. - Amsterdam [u.a.] : Elsevier, ISSN 1059-0560, ZDB-ID 1137476-7. - Vol. 61.2019, p. 304-323
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| Subject: | ank financial distress | Bank failure prediction | Bank failure prevention | Extreme gradient boosting | Machine learning | XGBoost | Bankinsolvenz | Bank failure | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Insolvenz | Insolvency | USA | United States | Frühwarnsystem | Early warning system |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.iref.2018.03.008 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012205428