Random forests-based early warning system for bank failures

摘要

This paper introduces a novel random forests-based early warning system for predicting bank failures. We apply this method to the analysis of bank-level financial statements, in order to find patterns that identify banks in danger of failing. The experimental results show that our method outperforms conventional methods in terms of prediction accuracy. (C) 2016 Elsevier B.V. All rights reserved.