We develop a novel stress testing framework to quantify the risks to the German banking sector from the green transition. Our methodology combines a macro-level and a micro-level approach to calculate scenario-dependent probabilities of default and losses. The macro approach leverages...

Microcredit, a financial tool providing uncollateralized loans to low-income individuals, has seen a shift from joint-liability (JL) to individual liabil- ity (IL) lending models. This article tests a theory explaining this shift, focusing on borrowers matching into groups exposed to similar...

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...

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 uses a time-varying vector autoregressive (VAR) model for the euro area to explore the changes in the interest rate pass-through to bank retail rates following conventional and unconventional monetary policy shocks. The median estimate of the impulse responses shows a considerably...

This study investigates how elements of a survey invitation message targeted to businesses influence their participation in a self-administered web survey. We implement a full factorial experiment varying five key components of the email invitation. Unlike traditional experimental setups with...

This paper analyzes the time-varying credibility of the Fed's inflation target in an empirical macro model with asymmetric information, where the public has to learn about the actual inflation target from the Fed's interest rate policy. To capture the evolving communication strategy of the Fed,...

This paper investigates the ability of several generalized Bayesian vector autoregressions to cope with the extreme COVID-19 observations and discusses their impact on prior calibration for inference and forecasting purposes. It shows that the preferred model interprets the pandemic episode as a...

This paper investigates how the ordering of variables affects properties of the time-varying covariance matrix in the Cholesky multivariate stochastic volatility model.It establishes that systematically different dynamic restrictions are imposed whenthe ratio of volatilities is time-varying....

This paper aims to investigate the relation between inefficiency in the Brazilian education system and municipal wealth, discussing how the actual legislation possibly influences it. To that end, we apply a stochastic frontier model which accommodates covariates in the asymmetric error component...