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...

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...

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...

We model the impact of bank mergers on loan competition, reserve holdings and aggregate liquidity. A merger changes the distribution of liquidity shocks and creates an internal money market, leading to financial cost efficiencies and more precise estimates of liquidity needs. The merged banks...

Based on a unique dataset of legislative changes in industrial countries, we identify events that strengthen the competition control of mergers and acquisitions, analyze their impact on banks and non-financial firms and explain the different reactions observed with specific regulatory...

This paper derives indicators of the severity and structure of banking system risk from asymptotic interdependencies between banks’ equity prices. We use new tools available from multivariate extreme value theory to estimate individual banks’ exposure to each other (“contagion risk”) and...

There is a long-standing debate about the special nature of banks. Based on a unique dataset of legislative changes in industrial countries, we identify events that strengthen competition policy, analyze their impact on banks and non-financial firms and explain the reactions observed with...