How much of the heterogeneity in bank loan pricing is explained by disparities in banks' attitude towards risk? The answer to this question is not simple because there are only very weak proxies for gauging the degree of a bank's risk aversion. We handle this constraint by means of a novel...

We analyse the impact of the Liquidity Coverage Ratio (LCR) on the demand for central bank reserves in the euro area with difference-in-differences estimation techniques. Using a novel dataset and an identification strategy that exploits the cross-country heterogeneity in the regulatory...

This paper proposes a new methodology based on textual analysis to forecast U.S. recessions. Specifically, the paper develops an index in the spirit of Baker et al. (2016) and Caldara and Iacoviello (2018) which tracks developments in U.S. real activity. When used in a standard recession...

This paper proposes an approach to estimate the impact of adverse climatic events on the profitability of small European banks (LSIs). By considering river ooding phenomena, we construct a unique database matching the information on location, frequency and severity of oods with the location and...

International organizations (IOs) often drive policy change in member countries. Given IOs' limited political leverage over a member country, previous research argues that IOs rely on a combination of hard pressures (i.e., conditionality) and soft pressures (i.e., socialization) to attain their...

We build a novel macro-finance model that combines a semi-structural macroeconomic module with arbitrage-free yield-curve dynamics. We estimate it for the United States and the euro area using a Bayesian approach and jointly infer the real equilibrium interest rate (r*), trend inflation (Û*),...

We quantify spillbacks from US monetary policy based on structural scenario analysis and minimum relative entropy methods applied in a Bayesian proxy structural vector-autoregressive model estimated on data for the time period from 1990 to 2019. We find that spillbacks account for a non-trivial...

We develop early warning models for financial crisis prediction by applying machine learning techniques to macrofinancial data for 17 countries over 1870-2016. Most nonlin-ear machine learning models outperform logistic regression in out-of-sample predictions and forecasting. We identify...

To what extent can Quantitative Easing impact productivity growth? We document a strong and heterogeneous response of corporate R&D investment to changes in debt financing conditions induced by corporate debt purchases under the ECB's Corporate Sector Purchase Program. Companies eligible for the...

This paper shows that newspaper articles contain timely economic signals that can materially improve nowcasts of real GDP growth for the euro area. Our text data is drawn from fifteen popular European newspapers, that collectively represent the four largest Euro area economies, and are machine...