The European debt crisis has revealed serious deficiencies and risks on a proper functioning of the monetary union. Against this backdrop, early warning systems are of crucial importance. In this study that focuses on euro area member states, the robustness of early warning systems to predict...

In this paper we question the consensus of using a binary crisis definition for empirical crisis models. We believe that the most severe shortcomings of the crisis models today are in the crisis definition rather than the explanatory variables. We present a crisis model that is specified for a...

This paper employs a recent statistical algorithm (CRAGGING) in order to build an early warning model for banking crises in emerging markets. We perturb our data set many times and create "artificial" samples from which we estimated our model, so that, by construction, it is flexible enough to...