This is an outstanding book on the default models that are used internally by financial institutions for tasks such as: ??economic capital calculations; ??pricing credit derivatives, CDOs and other credit sensitive instruments; ??calculating utilization of credit risk limits; ??marking-to-model illiquid or non-traded debt. ??It is a testament to the available models that they are useful for such disparate purposes. This practical book delves into the mathematics, the assumptions, and the approximations that practitioners apply to make these models work. Unlike most books on credit risk modeling, which tend to focus on either pricing or risk management applications, Bluhm et al cover both well. ??The book's focus is on structural default models (the Merton model) and extensions of those models that can be applied to portfolio credit risk. Intensity (reduced form) models are also discussed, but not in as much depth. Early chapters focus on credit risk modeling. The emphasis is on portfolio credit risk and ways of integrating asset value models with some sort of correlation structure for this purpose. Factor and sector correlation models are detailed, as is the use of copulas. Prior knowledge of copulas, as covered by Nelsen (1999), will be helpful. Later chapters turn to financial engineering applications of credit models. These include elementary discussions of modeling credit derivatives and collateralized debt obligations (CDOs). ??Two chapters are dedicated to asset value models and the CreditRisk+ model for portfolio credit risk management. Another considers modeling issues related to capital calculations.