A Machine Learning-Based Analysis on the Causality of Financial Stress in Banking Institutions

Predicting systemic risk of banks: a machine learning approach

(2023) Gaurav Kumar et al.   Journal of Modelling in Management

Making the whole greater than the sum of its parts: A literature review of ensemble methods for financial time series forecasting

(2022) Pedro Henrique Melo Albuquerque et al.   JOURNAL OF FORECASTING

EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks

(2022) Tamás Kristóf et al.   Research in International Business and Finance

Predicting Firm-Level Bankruptcy in the Spanish Economy Using Extreme Gradient Boosting

(2021) Matthew Smith et al.   Computational Economics

An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 data

(2020) Yaohao Peng et al.   CHAOS SOLITONS & FRACTALS

Explainable Machine Learning in Credit Risk Management

(2020) Niklas Bussmann et al.   Computational Economics

Forecasting Bank Failure: Base Learners, Ensembles and Hybrid Ensembles

(2016) Aykut Ekinci et al.   Computational Economics

Bridging the divide in financial market forecasting: machine learners vs. financial economists

(2016) Ming-Wei Hsu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Explaining prediction models and individual predictions with feature contributions

(2013) Erik Štrumbelj et al.   KNOWLEDGE AND INFORMATION SYSTEMS