We provide a versatile nowcasting toolbox that supports three model classes (dynamic factor models, large Bayesian VAR, bridge equations) and offers methods to manage data selection and adjust for Covid-19 observations. The toolbox aims at simplifying two key tasks: creating new nowcasting...

We evaluate the effects of contagion and common exposure on banks' capital through a regression design inspired by the structural VAR literature and derived from the balance sheet identity. Contagion can occur through direct exposures, fire sales, and market-based sentiment, while common...

This paper exploits daily infrared images taken from satellites to track economic activity in advanced and emerging countries. We first develop a framework to read, clean, and exploit satellite images. Our algorithm uses the laws of physics (Planck's law) and machine learning to detect the heat...

In a highly interlinked global economy a key question for policy makers is how foreign shocks and policies transmit to the domestic economy. We develop a semi-structural multi-country model with rich real and financial channels of international shock propagation for the euro area, the US, Japan,...

What drives external performance of countries? This is a recurring question in academia and policy. The factors underlying export growth are receiving great attention, as countries struggle to grow out of the crisis by increasing exports and as protectionist discourses take foot again. Despite...

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...

In this paper we develop a general framework to analyze state space models with timevarying system matrices where time variation is driven by the score of the conditional likelihood. We derive a new filter that allows for the simultaneous estimation of the state vector and of the time-varying...

We propose a granular framework that makes use of advanced statistical methods to approximate developments in economy-wide expected corporate earnings. In particular, we evaluate the dynamic network structure of stock returns in the United States as a proxy for the transmission of shocks through...

The paper attempts at disentangling the main sources of the rise in the Italian unemployment rate over the last four decades on the basis of a small model a la Layard-Nickell, identified and estimated using a structural VAR approach. Unemployment movements are assumed to be driven by fully...

This paper studies the determinants of loans to the private sector in the euro area. Using the Johansen methodology, the study identifies one cointegrating relationship linking real loans, GDP and interest rates. This relationship implies that in the long-run real loans are positively related to...