This study empirically examine the impact of market conditions on credit spreads as motivated by recently developed structural credit risk models. Using credit default swap (CDS) spreads, we find that, in the time series, average credit spreads are decreasing in GDP growth rate, but increasing...

Concerns have been raised, especially since the global financial crisis, about whether trading in credit default swaps (CDS) increases the credit risk of the reference entities. We use a unique, comprehensive sample covering 901 CDS introductions on North American corporate issuers between June...

When credit default swaps (CDS) spreads change, to what extent can we interpret that the credit risk of the reference entities have changed? We study determinants of CDS spread changes between consecutive trades. Using transactions data for corporate reference entities in North America during...

Credit migration matrices are cardinal inputs to many risk management applications. Their accurate estimation is therefore critical. We explore three approaches, cohort and two variants of duration—time homogeneous and non-homogeneous—and the resulting differences, both statistically through...

The turmoil in the capital markets in 1997 and 1998 has highlighted the need for systematic stress testing of banks' portfolios, including both their trading and lending books. We propose that underlying macroeconomic volatility is a key part of a useful conceptual framework for stress testing...

While credit default swaps (CDS) can be used to hedge credit risk exposures or to speculate, we examine another use of them: banks buy CDS referencing their borrowers to obtain regulatory capital relief. Such capital relief activities have unintended consequences, as banks extend riskier loans...

While credit default swaps (CDS) can be used to hedge credit risk exposures or to speculate, we examine another use of them: banks buy CDS referencing their borrowers to obtain regulatory capital relief. Such capital relief activities have unintended consequences, as banks extend riskier loans...

Identifying the relevant risk factors and their interdependence is central to understanding the risk exposures and vulnerabilities of a financial institution. It is needed for risk management, solvency assessment and stress testing. We assemble a unique dataset of risk factors relevant for...

A defining difference of macro-style stress testing is the explicit consideration of profitability dynamics in the stress scenario. Traditional stress testing had focused almost exclusively on losses only, but a complete assessment of capital adequacy under stress must take into account not just...

We develop a framework for modeling conditional loss distributions through the introduction of risk factor dynamics. Asset value changes of a credit portfolio are linked to a dynamic global macroeconometric model, allowing macro effects to be isolated from idiosyncratic shocks. Default...