We replicate three bank failure models (Martin (1977), Cole and White (2012), and DeYoung and Torna (2013)) and introduce a new predictive model along with several evaluation methods to compare their out-of-sample predictive accuracy. We find that the models are highly accurate individually, and...

We compare the out-of-sample accuracy of three methodologies—the time-varying hazard model of Shumway (2001), the static probit model used by Cole and Gunther (1998), and a static logistic regression model similar to Cole and White (2012)—in forecasting U.S. bank failures. When we limit all...

Researching the determinants of bank failure is an important task, yet the extant literature on bank failure early warning models fail to identify which model technique, sampling methodology, or set of coefficients provides the most accurate model when predicting failure on out-of-sample data....