Economic policy makers, international organisations and private-sector forecasters commonly use short-term forecasts of real GDP growth based on monthly indicators, such as industrial production, retail sales and confidence surveys. An assessment of the reliability of such tools and of the...

This paper explores how changes in macroeconomic uncertainty have affected the decision to participate in the European Central Bank's Survey of Professional Forecasters. Two different approaches are employed in order to address this question. First, a time-series analysis explores if changes in...

We estimate a FAVAR with Bayesian techniques in order to investigate the impact of loan supply conditions on euro area corporate investment and its financing structure. We identify shocks to overall demand and loan supply with sign and impact restrictions. Although tightened financial conditions...

Euro area GDP and components are nowcast and forecast one quarter ahead. Based on a dataset of 163 series comprising the relevant monthly indicators, simple bridge equations with one explanatory variable are estimated for each. The individual forecasts generated by each equation are then pooled,...

We implement a two-step approach to construct a financing conditions index (FCI) for the euro area and its four larger member states (Germany, France, Italy and Spain). The method, which follows Hatzius et al. (2010), is based on factor analysis and enables to summarise information on financing...

Euro area GDP and components are nowcast and forecast one quarter ahead. Based on a dataset of 163 series comprising the relevant monthly indicators, simple bridge equations with one explanatory variable are estimated for each. The individual forecasts generated by each equation are then pooled,...

This study develops a novel agent-based model of the interbank market with endogenous credit risk formation mechanisms. We allow banks to exchange funds through unsecured and secured transactions in order to facilitate the flow of funds to the most pro table investment projects. Our model...

We estimate the euro area output gap by applying the Beveridge-Nelson decomposition based on a large Bayesian vector autoregression. Our approach incorporates multivariate information through the inclusion of a wide range of variables in the analysis and addresses data issues associated with the...

This paper uses a unique dataset where credit rejections experienced by euro area firms are matched with firm and bank characteristics. This allows us to study simultaneously the role that bank and firm weakness had in the credit reduction observed in the euro area during the sovereign debt...

While regulatory capital buffers are expected to be drawn to absorb losses and meet credit demand during crises, this paper shows that banks were unwilling to do so during the pandemic. To the contrary, banks engaged in forms of pro-cyclical behaviour to preserve capital ratios. By employing...