This paper presents a framework for estimating losses in the residential real estate mortgage portfolios of German banks. We develop an EL model where LGD estimates are based on current collateral values and PD dynamics are estimated using a structural PVAR approach. We confirm empirically that...

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...

In this paper, we analyze the impact of a decline in property prices that leads to stressed recovery rates for collateral on the loss given default (LGD) parameter in portfolios of mortgage loans. We prove that the average LGD's stress sensitivity depends on the portfolio's loan-to-value (LTV-)...

The incremental risk charge (IRC) is a new regulatory requirement from the Basel Committee in response to the recent financial crisis. Notably few models for IRC have been developed in the literature. This paper proposes a methodology consisting of two Monte Carlo simulations. The first Monte...

This paper investigates the impact of stress testing results on bank's equity and CDS performance using a large sample of twelve tests from the US CCAR and the European EBA regimes in the time period from 2010 to 2018. We find that passing banks experience positive abnormal equity returns and...

To ensure that central counterparties (“CCPs”) are safe in all market conditions the European Union (EU) has adopted legislation, commonly known as the European Market Infrastructure Regulation (“EMIR”) that deals with their organisational requirements, including prudential requirements...

Central banks and supervisory authorities regularly conduct stress tests of banks. As losses accumulate in stress scenarios, banks' equity position worsens, and they must pay higher interest rates to retain funding. I explore how variations of Merton-type models can be used to measure bank risk,...

We use an expansive regulatory loan-level data set to analyze how the portfolios of the largest US banks have changed in response to the Dodd-Frank Act Stress Test (DFAST) requirements. We find that the portfolios of the largest banks, which are subject to stress-testing, have become more...

The Federal Reserve's Comprehensive Capital Analysis and Review (CCAR) requires large bank holding companies (BHCs) to project losses under stress scenarios. In this paper, we propose multiple benchmarks for operational loss projections and document the industry distribution relative to these...

We develop a macroeconomic portfolio stress test that is specifically geared towards small and medium-sized banks. We combine a credit risk stress test which simulates credit impairments via a CreditMetrics type multi-factor portfolio model with an income stress test in the form of dynamic panel...