We introduce a novel simulation-based network approach, which provides full-edged distributions of potential interbank losses. Based on those distributions we propose measures for (i) systemic importance of single banks, (ii) vulnerability of single banks, and (iii) vulnerability of the whole...

We introduce a novel simulation-based network approach, which provides full-edged distributions of potential interbank losses. Based on those distributions we propose measures for (i) systemic importance of single banks, (ii) vulnerability of single banks, and (iii) vulnerability of the whole...

We introduce a novel simulation-based network approach, which provides full-fledged distributions of potential interbank losses. Based on those distributions we propose measures for (i) systemic importance of single banks, (ii) vulnerability of single banks, and (iii) vulnerability of the whole...

In this paper we study the impact of model uncertainty, which occurs when linking a stress scenario to default probabilities, on reduced-form credit risk stress testing. This type of uncertainty is omnipresent in most macroeconomic stress testing applications due to short time series for banks'...

In this paper we present a simple framework to model central bank forward guidance in a liquidity trap. We analyze the role of long-run and short-run price stickiness under discretion and commitment in a straightforward and intuitive way. Despite the impact of price rigidity on welfare being...

Did the increase in counterparty risk perception in the interbank market since autumn 2007 contribute to the severe contraction of the US economy? To address this question we introduce interbank market uncertainty in a DSGE model with frictional financial intermediation. Interbank uncertainty is...

This paper explores the potential effectiveness of the ECB s Outright Monetary Transaction (OMT) program in safeguarding an appropriate monetary policy transmission. Since the program aims at manipulating bank lending rates by conducting sovereign bond purchases on secondary markets, a stable...

In this paper we study the impact of model uncertainty, which occurs when linking a stress scenario to default probabilities, on reduced-form credit risk stress testing. This type of uncertainty is omnipresent in most macroeconomic stress testing applications due to short time series for banks'...

In this paper we study the impact of model uncertainty, which occurs when linking a stress scenario to default probabilities, on reduced-form credit risk stress testing. This type of uncertainty is omnipresent in most macroeconomic stress testing applications due to short time series for banks'...

This paper exploits a recent and granular data set for 1,500 German LSIs to conduct a residential mortgage stress testing exercise. To account for model uncertainty when modeling PD dynamics we use a benchmark-constrained Bayesian model averaging approach that combines standard BMA with a...