In this paper, we exploit micro data from the ECB Survey of Professional Forecasters (SPF) to examine the link between the characteristics of macroeconomic density forecasts (such as their location, spread, skewness and tail risk) and density forecast performance. Controlling for the effects of...

In this paper a semiparametric stochastic metafrontier approach is used to obtain insight into firm-level competitiveness in Europe. We differ from standard TFP studies at the firm level as we simultaneously allow for inefficiency, noise and do not impose a functional form on the input-output...

The change in macroeconomic conditions since the ECB's strategy review in 2021 towards an environment characterised by above-target inflation, high interest rates, and renewed concerns about elevated government debt has been a vocal reminder of the intricate interdependencies between monetary...

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...

The following sections provide a description of the methodology used as part of the Supervisory Review and Evaluation Process (SREP) for assessing the interest rate risk in the banking book (IRRBB) and credit spread risk in the banking book (CSRBB) of significant institutions. The ECB uses a...

The ECB has collected data on the unrealised losses of significant institutions under its direct supervision with a view to enhancing the assessment of risk in the held-to-maturity portfolios of euro area banks and to furthering its monitoring of interest rate risk and liquidity risk.

We analyze how corporate reorganization and liquidation change labor reallocation during bankruptcy using randomized judge assignments and linked Portuguese employer-employee and firm data. Reorganization reduces the negative effect of bankruptcy on employee earnings, even with most workers...