Showing 1 - 7 of 7
This paper assesses the usefulness of private credit variables and other macrofinancial and banking sector indicators for the setting of Basel III / CRD IV countercyclical capital buffers (CCBs) in a multivariate early warning model framework, using data for 23 EU Members States from 1982 Q2 to...
Persistent link: https://www.econbiz.de/10011605649
This paper aims at providing policymakers with a set of early warning indicators helpful in guiding decisions on when to activate macroprudential tools targeting excessive credit growth and leverage. To robustly select the key indicators we apply the “Random Forest” method, which bootstraps...
Persistent link: https://www.econbiz.de/10011605768
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...
Persistent link: https://www.econbiz.de/10011984812
Persistent link: https://www.econbiz.de/10012156868
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...
Persistent link: https://www.econbiz.de/10011975644
This paper assesses the usefulness of private credit variables and other macrofinancial and banking sector indicators for the setting of Basel III / CRD IV countercyclical capital buffers (CCBs) in a multivariate early warning model framework, using data for 23 EU Members States from 1982 Q2 to...
Persistent link: https://www.econbiz.de/10010709536
This paper aims at providing policymakers with a set of early warning indicators helpful in guiding decisions on when to activate macroprudential tools targeting excessive credit growth and leverage. To robustly select the key indicators we apply the “Random Forest” method, which bootstraps...
Persistent link: https://www.econbiz.de/10011067235