Traditionally, financial crisis Early Warning Systems (EWSs) have relied on macroeconomic leading indicators when forecasting the occurrence of such events. This paper extends such discrete-choice EWSs by taking the persistence of the crisis phenomenon into account. The dynamic logit EWS is...

In this paper we propose a multivariate dynamic probit model. Our model can be considered as a non-linear VAR model for the latent variables associated with correlated binary time-series data. To estimate it, we implement an exact maximum-likelihood approach, hence providing a solution to the...

This paper proposes an original and uni ed toolbox to evaluate nancial crisis Early Warning Systems (EWS). It presents four main advantages. First, it is a model free method which can be used to asses the forecasts issued from di erent EWS (probit, logit, markov switching models, or combinations...