We study the information flow from the ECB on policy dates since its inception, using tick data. We show that three factors capture about all of the variation in the yield curve but that these are different factors with different variance shares in the window that contains the policy decision...

We propose a theoretical framework for assessing whether a forecast model estimated over one period can provide good forecasts over a subsequent period. We formalize this idea by defining a forecast breakdown as a situation in which the out-of-sample performance of the model, judged by some loss...

We assess the impact on bank bond holdings of regulatory changes in the requirements for bail-inable liabilities designed to facilitate an orderly resolution process, while reducing taxpayers-funded bailouts. Analyzing confidential data on securities holdings by banks, we document that the...

Banks are reluctant to tap central bank backup liquidity facilities and use the borrowed funds for loans to the real economy. We show that excessively parsimonious borrowing and lending can arise in a stigma-free model where the banking sector has an incentive to overissue deposits. Banks don't...

Combining euro-area credit register and carbon emission data, we provide evidence of a climate risk-taking channel in banks' lending policies. Banks charge higher interest rates to firms featuring greater carbon emissions, and lower rates to firms committing to lower emissions, controlling for...

This paper explores the role that the imperfect knowledge of the structure of the economy plays in the uncertainty surrounding the effects of rule-based monetary policy on unemployment dynamics in the euro area and the US. We employ a Bayesian model averaging procedure on a wide range of models...

This paper explores the role that inflation forecasts play in the uncertainty surrounding the estimated effects of alternative monetary rules on unemployment dynamics in the euro area and the US. We use the inflation forecasts of 8 competing models in a standard Bayesian VAR to analyse the size...

This paper explores the role of model and vintage combination in forecasting, with a novel approach that exploits the information contained in the revision history of a given variable. We analyse the forecast performance of eleven widely used models to predict inflation and GDP growth, in the...