We propose a new methodology to identify aggregate demand and supply shocks in the bank loan market. We present a model of sticky bank-firm relationships, estimate its structural parameters in euro area credit register data, and infer aggregate shocks based on those estimates. To achieve...

We investigate the impact of macroprudential capital requirements on bank lending behaviour across economic sectors, focusing on their potentially heterogenous effects and transmission channel. By employing confidential loan-level data for the euro area over 2015-18, we find that the reaction of...

We study the impact of higher bank capital buffers, namely of the Other Systemically Important Institu- tions (O-SII) buffer, on banks' lending and risk-taking behaviour. The O-SII buffer is a macroprudential policy aiming to increase banks' resilience. However, higher capital requirements...

How do banks respond to changes in capital requirements as a result of the stress tests? Does the disclosure of stress test results matter? To answer these questions, we study the impact of European stress tests on banks' lending, their corresponding risk-taking, the ensuing effect on their...

Using a novel quarterly dataset on debt financing of non-financial corporations, this paper provides the first empirical evaluation of the relative importance of loan and market-based finance (MBF) supply shocks on business cycles in the euro area as a whole and in its five largest countries. In...

At the onset of the Covid-19 outbreak, central banks and supervisors introduced dividend restrictions as a new policy instrument aimed at supporting lending to the real economy and strengthening banks' capacity to absorb losses. In this paper we estimate the impact of the ECB's dividend...

In this paper we build a unique dataset to study how banks decide which firms to lend to and how this decision depends on their own situation and the characteristics of their borrowers. We find that weaker capitalised banks adjust their credit standards more than healthier banks, especially for...

I propose a new model, conditional quantile regression (CQR), that generates density forecasts consistent with a specific view of the future evolution of some variables. This addresses a shortcoming of existing quantile regression-based models, for example the at-risk framework popularised by...

We investigate the consequences of overleveraging and the potential for destabilizing effects from financial- and real-sector interactions. In a theoretical framework, we model overleveraging and indicate how a highly leveraged banking system can lead to unstable dynamics and downward spirals....

This paper uses a unique dataset where credit rejections experienced by euro area firms are matched with firm and bank characteristics. This allows us to study simultaneously the role that bank and firm weakness had in the credit reduction observed in the euro area during the sovereign debt...