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...

Global trade contracted quickly and severely during the global crisis. This paper, using a unique dataset of French firms, matching together export data with firm-level credit constraints, shows that most of the 2008-2009 trade collapse is accounted by the unprecedented demand shock and by...

The unprecedented drop in international trade during the last quarter of 2008 and the first quarter of 2009 has mainly been analysed at the macroeconomic or sectoral level. However, exporters who are heterogeneous in terms of productivity, size or external financial dependence should be...

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 study the effects of negative interest rate policies (NIRP) on the transmission of monetary policy through cross-border lending. Using bank-level data from international financial centres - the United Kingdom, Hong Kong and Ireland - we examine how NIRP in the economies where banks have their...

We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, linear gradient boosting). While much less used in the literature, the latter are found to outperform...

As countries and firms increasingly seek ways to strengthen the resilience of their supply chains, this paper studies the global economic costs of a decoupling of global supply chains along geopolitical lines as well as in strategic sectors. We explore not only the long-run effects, but also the...

As countries and firms increasingly seek ways to strengthen the resilience of their supply chains, this paper studies the global economic costs of a decoupling of global supply chains along geopolitical lines as well as in strategic sectors. We explore not only the long-run effects, but also the...

We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, linear gradient boosting). While much less used in the literature, the latter are found to outperform...

The unprecedented drop in international trade during the last quarter of 2008 and the first quarter of 2009 has mainly been analysed at the macroeconomic or sectoral level. However, exporters who are heterogeneous in terms of productivity, size or external financial dependence should be...