We estimate a FAVAR with Bayesian techniques in order to investigate the impact of loan supply conditions on euro area corporate investment and its financing structure. We identify shocks to overall demand and loan supply with sign and impact restrictions. Although tightened financial conditions...

This study develops a novel agent-based model of the interbank market with endogenous credit risk formation mechanisms. We allow banks to exchange funds through unsecured and secured transactions in order to facilitate the flow of funds to the most pro table investment projects. Our model...

We implement a two-step approach to construct a financing conditions index (FCI) for the euro area and its four larger member states (Germany, France, Italy and Spain). The method, which follows Hatzius et al. (2010), is based on factor analysis and enables to summarise information on financing...

Using a unique dataset of the Euro area and the U.S. bank lending standards, we find that low (monetary policy) short-term interest rates soften standards, for household and corporate loans. This softening – especially for mortgages – is amplified by securitization activity, weak supervision...

We analyse the effects of supranational versus national banking supervision on credit supply, and its interactions with monetary policy. For identification, we exploit: (i) a new, proprietary dataset based on 15 European credit registers; (ii) the institutional change leading to the...

This study analyses the policy measures taken in the euro area in response to the outbreak and the escalating diffusion of new coronavirus (COVID-19) pandemic. We focus on monetary, microprudential and macroprudential policies designed specifically to support bank lending conditions. For...

We use a confidential euro area bank-level data set of close to 250 banks to assess outward and inward spillovers of unconventional monetary policies on bank lending. We find that euro area banks increase lending to the rest of the world in response to non-standard ECB monetary policy...

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...

This paper aims to shed light on the characteristics and particularly the determinants of credit-less recoveries. After building a dataset and documenting some stylised facts of credit-less recoveries in emerging market economies, this paper uses panel probit models to analyse key determinants...

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...