This paper develops an early warning system for predicting distress for large European banks. Using a novel definition of distress derived from banks' headroom above regulatory requirements, we investigate the performance of three machine learning techniques against the traditional logistic...

The 2020 COVID-19 pandemic crisis and the 2022 global energy crisis consecutive to Russia's aggression against Ukraine have been unprecedented in several aspects. In the European Union (EU), national governments, as well as European bodies put in place several relief measures to support the EU...

This paper describes a machine learning technique to timely identify cases of individual bank financial distress. Our work represents the first attempt in the literature to develop an early warning system specifically for small European banks. We employ a machine learning technique, and build a...

The 2020 COVID-19 pandemic crisis and the 2022 global energy crisis consecutive to Russia's aggression against Ukraine have been unprecedented in several aspects. In the European Union (EU), national governments, as well as European bodies put in place several relief measures to support the EU...

This paper describes a machine learning technique to timely identify cases of individual bank financial distress. Our work represents the first attempt in the literature to develop an early warning system specifically for small European banks. We employ a machine learning technique, and build a...

This paper describes a machine learning technique to timely identify cases of individual bank financial distress. Our work represents the first attempt in the literature to develop an early warning system specifically for small European banks. We employ a machine learning technique, and build a...