This article explores how a multivariate logit model of the Probability of
a banking crisis can be used to monitor banking sector fragility. The propo
sed approach relies on readily available data, and the fragility assessment
has a clear interpretation based on in-sample statistics. The model has be
tter in-sample performance than currently available alternatives, and the m
onitoring system can be tailored to fit the preferences of decisionmakers r
egarding type I and type II errors. The framework can be useful as a prelim
inary screen to economize on precautionary costs.