We conduct stress tests for a large sample of German banks across different recoveries from the Corona recession. We find that, depending on how quickly the economy recovers, between 6% to 28% of banks could become distressed from defaulting corporate borrowers alone. Many of these banks are...

In dieser Studie wird geprüft, ob die Genauigkeit der ersten Schätzung der Bruttowertschöpfung und des Bruttoinlandsprodukts für die Bundesländer erhöht und damit das Ausmaß der nachfolgenden Revisionen reduziert werden kann. Dazu werden alternative ökonometrische Methoden und...

By adopting a difference-in-differences specification combined with propensity score matching, I provide evidence using the microdata of German banks that stateowned savings banks have lent less than credit cooperatives during the COVID-19 crisis. In particular, the weaker lending effects of...

In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an...