Machine learning methods for predicting failures of US commercial bank
Year of publication: |
2024
|
---|---|
Authors: | Tuan, Le Quoc ; Lin, Chih-Yung ; Teng, Huei-Wen |
Subject: | bank failure | banking system | financial indicators | financial safety | Machine learning | Künstliche Intelligenz | Artificial intelligence | Bankinsolvenz | Bank failure | Finanzsystem | Financial system | Prognoseverfahren | Forecasting model | USA | United States |
-
Predicting failure in the US banking sector : an extreme gradient boosting approach
Carmona, Pedro, (2019)
-
Forecasting bank failure in the U.S. : a cost-sensitive approach
Ekinci, Aykut, (2024)
-
EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks
Kristóf, Tamás, (2022)
- More ...
-
Private benefits of control and bank loan contracts
Lin, Chih-Yung, (2018)
-
Cultural Biases in the Syndicated Loan Market
Chan, Konan, (2022)
-
Interlocked executives' bad reputation in the labor market
Tang, Ning, (2024)
- More ...