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- W3123824971 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." @default.
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- W3123824971 date "2016-11-01" @default.
- W3123824971 modified "2023-09-26" @default.
- W3123824971 title "Predicting Vulnerabilities in the EU Banking Sector: The Role of Global and Domestic Factors" @default.
- W3123824971 hasPublicationYear "2016" @default.
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