We embed a structural model of credit risk inside a dynamic continuous-time consumption-based asset pricing model, which allows us to price equity and corporate debt in a unified framework. Our key economic assumptions are that the first and second moments of earnings and consumption growth...

We build a dynamic model to link two empirical patterns:\ the negative failure probability-return relation (Campbell, Hilscher, and Szilagyi, 2008) and the positive distress risk premium-return relation (Friewald, Wagner, and Zechner, 2014). We show analytically and quantitatively that (i)...

Although the cost of financial distress is a central issue in capital structure and credit risk studies, reliable estimates of its size are difficult to come by. This paper proposes a novel method of extracting the cost of default from the change in the market value of a firm's assets upon...

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...

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...