We adapt a theoretical model from the goods trade literature to test whether banks with a comparative cost advantage are more likely to enter foreign markets by means of foreign direct investment. We combine detailed proprietary bank-level data on the international activities of all German banks...

We examine the financial resilience of Austrian households, relating it to their experience of financial shocks earlier in life and to their financial literacy. We find that previous negative (positive) financial shocks are negatively (positively) related to financial resilience. Financial...

This paper introduces a reinforcement learning based approach to compute optimal interest rate reaction functions in terms of fulfilling inflation and output gap targets. The method is generally flexible enough to incorporate restrictions like the zero lower bound, nonlinear economy structures...

This paper identifies U.S. monetary and fiscal dominance regimes using machine learning techniques. The algorithms are trained and verified by employing simulated data from Markov-switching DSGE models, before they classify regimes from 1968-2017 using actual U.S. data. All machine learning...

This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the...