Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/193536
Authors: 
Behn, Markus
Detken, Carsten
Peltonen, Tuomas
Schudel, Willem
Year of Publication: 
2016
Series/Report no.: 
ESRB Working Paper Series 29
Abstract: 
We estimate a multivariate early-warning model to assess the usefulness of private credit and other macro-financial variables in predicting banking sector vulnerabilities. Using data for 23 European countries, we find that global variables and in particular global credit growth are strong predictors of domestic vulnerabilities. Moreover, domestic credit variables also have high predictive power, but should be complemented by other macro-financial indicators like house price growth and banking sector capitalization that play a salient role in predicting vulnerabilities. Our findings can inform decisions on the activation of macroprudential policy measures and suggest that policy makers should take a broad approach in the analytical models that support risk identification and calibration of tools.
Subjects: 
early-warning model
banking crises
signalling approach
systemic risk
JEL: 
G01
G21
G28
Persistent Identifier of the first edition: 
ISBN: 
978-92-95081-59-8
Document Type: 
Working Paper
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