We show that negative monetary policy rates induce systemic banks to reach-for-yield. For identification, we exploit the introduction of negative deposit rates by the European Central Bank in June 2014 and a novel securities register for the 26 largest euro area banking groups. Banks with more...

We analyse the impact of standard and non-standard monetary policy measures on bank profitability. For empirical identification, the analysis focuses on the euro area, thereby exploiting substantial bank and country heterogeneity within a monetary union where the central bank has implemented a...

This paper studies the relationship between the business cycle and financial intermediation in the euro area. We establish stylized facts and study their stability during the global financial crisis and the European sovereign debt crisis. Long-term interest rates have been exceptionally high and...

This paper evaluates models that exploit timely monthly releases to compute early estimates of current quarter GDP (now-casting) in the euro area. We compare traditional methods used at institutions with a new method proposed by Giannone, Reichlin, and Small (2005). The method consists in...

This study examines empirically the information content of the euro area Bank Lending Survey for aggregate credit and output growth. The responses of the lending survey, especially those related to loans to enterprises, are a significant leading indicator for euro area bank credit and real GDP...

We document that there are strong complementarities between monetary policy and macroprudential policy in shaping the evolution of bank credit. We use a unique loanlevel dataset comprising multiple credit registers from several European countries and different types of loans, including corporate...

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...

We define nowcasting as the prediction of the present, the very near future and the very recent past. Crucial in this process is to use timely monthly information in order to nowcast key economic variables, such as e.g. GDP, that are typically collected at low frequency and published with long...

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 for...