Predicting bank insolvencies using machine learning techniques
Anastasios Petropoulos, Vasilis Siakoulis, Evangelos Stavroulakis, Nikolaos E. Vlachogiannakis
| Year of publication: |
2020
|
|---|---|
| Authors: | Petropoulos, Anastasios ; Siakoulis, Vasilis ; Stavroulakis, Evangelos ; Vlachogiannakis, Nikolaos E. |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 36.2020, 3, p. 1092-1113
|
| Subject: | Bank's insolvencies | Forecasting | Random Forests | Support Vector Machines | Neural Networks | Conditional inference trees | Neuronale Netze | Neural networks | Künstliche Intelligenz | Artificial intelligence | Bankinsolvenz | Bank failure | Prognoseverfahren | Forecasting model | Mustererkennung | Pattern recognition | Insolvenz | Insolvency | Theorie | Theory | 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.ijforecast.2019.11.005 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012497724