The paper puts the outcome during the most recent financial crisis in a historical perspective by taking a closer look at the frequency of extreme events in the economic history of Denmark, in some cases based on time series back to the late 1600s. We focus on the frequency distribution of a...

What kind of models do we need to guide us through the next crisis? If past crises are any indication, we need to explore new approaches. During the Great Financial Crisis, the models that existed at the time were of little value because they focused on firm-level interactions and did not...

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...

We review heterogeneous agent-based models of financial stability and their application in stress tests. In contrast to the mainstream approach, which relies heavily on the rational expectations assumption and focuses on situations where it is possible to compute an equilibrium, this approach...

This paper outlines a stress testing framework for the household sector in Malta based on micro data. The analysis depends on granular data relating to income, expenses, and the value of liquid assets from the third wave of the Household Finance and Consumption Survey and assesses the financial...

A deep understanding of the drivers of credit risk is valuable for financial institutions as well as for regulators from multiple viewpoints. The systemic component of credit risk drives losses across portfolios and thus poses a threat to financial stability. Traditional approaches consider...