Predicting Vulnerabilities in the EU Banking Sector: The Role of Global and Domestic Factors
38 Pages Posted: 5 Nov 2020
Date Written: November, 2016
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.
Keywords: early-warning model, banking crises, signalling approach, systemic risk
JEL Classification: G01, G21, G28
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