Preface
It might seem the height of hubris to write a book on quantitative models measuring credit risk exposure while the wreckage of the credit crisis of 2007 is still all around us. However, in our view, it is just at this time that books like this one are needed. While credit risk measurement models are always in need of improvement, we cannot place all of the blame for the crisis on their failure to detect risk and accurately value credit instruments. Models are only as good as their assumptions, and assumptions are driven by market conditions and incentives. The first three chapters of this book are devoted to a detailed analysis of the before, during, and aftereffects of the global financial crisis of 2007-2009.
In this edition, we build on the first two editions’ approach of explaining the economic underpinnings behind the mathematical modeling, so as to make the concepts accessible to bankers and finance professionals as well as students. We also compare the various models, explaining their strengths and their shortcomings, and describe and critique proprietary services available.
The first section (Chapters 1-3) describes bubbles and crises in order to understand the global financial crisis of 2007-2009. The second section presents several quantitative models used to estimate the probability of default (PD). The two major modeling approaches are the options-theoretic structural models (Chapter 4) and the reduced form models (Chapter 5). The options-theoretic approach ...

Get Credit Risk Measurement In and Out of the Financial Crisis: New Approaches to Value at Risk and Other Paradigms, Third Edition now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.