We introduce a class of quantile-based risk measures that generalize Value at Risk (VaR) and, likewise Expected Shortfall (ES), take into account both the frequency and the severity of losses. Under VaR a single confidence level is assigned regardless of the size of potential losses. We allow...

This paper deals with stress tests for credit risk and shows how exploiting the discretion when setting up and implementing a model can drive the results of a quantitative stress test for default probabilities. For this purpose, we employ several variations of a CreditPortfolioView-style model...

On 3 December EY hosted a SUERF conference on banking reform with Sir Howard Davies, the Chairman of RBS, and Dame Colette Bowe, the Chairman of the Banking Standards Board, as the two keynote speakers. Professor David Miles (Imperial College) gave the SUERF 2015 Annual Lecture on Capital and...

The determinants of default risk of banks in emerging economies have so far received inadequate attention in the literature. This paper seeks to study the determinants of bank asset quality and profitability using panel data techniques and robust data sets for the period between 1997 and 2009....

Addressing recent calls by European regulatory and supervisory authorities, we develop a new bottom-up climate risk assessment method to examine the resilience of the European banking industry regarding transitory climate risks. We illustrate our approach by estimating the impact of a 50-100 EUR...

We present a model where bank assets are a portfolio of risky debt claims and analyze stockholders' risk-taking behavior while considering the strategic interaction between debtors and creditors. We find that: (1) as the leverage of a bank increases, risk shifting by borrowers increases, even if...

We present a stochastic simulation forecasting model for stress testing aimed at assessing banks' capital adequacy, financial fragility and probability of default. The paper provides a theoretical presentation of the methodology and the essential features of the forecasting model on which it is...

We present an empirical study of stress testing for portfolios of auto loans. We find that loans aged five years or more have significantly higher default probabilities. This finding raises concerns about the increasing maturity of auto loans in recent years. A challenge in stress testing is the...