Credit Risk Modeling : Theory and Applications (Princeton Series in Finance)
Editorial Reviews
Review
Philipp Schonbucher, Swiss Federal Institute of Technology Zurich (ETH), author of "Credit Derivatives Pricing Models" : Credit Risk Modeling provides the broadest coverage of topics I have seen in a book on credit risk. Lando successfully guides the reader through the maze of a very active field of research by clearly identifying the leading problems and the attempts that have been made to solve these problems. At the same time, never does he neglect the statistical estimation of the models he presents. This is a very valuable book to any practitioner, student, or researcher in credit risk, written by one of the leading experts in the field.
Robert Jarrow, Cornell University : This very well written book represents a superb presentation of both credit risk theory and its empirical evidence. It is a complete introduction to the topic, enabling the reader to access and understand current research.
Didier Cossin, Ecole des Hautes Etudes Commerciales, University of Lausanne : This is an excellent book for researchers, financial engineers, and advanced practitioners in the field of credit risk. It is a remarkable contribution to our field.
Book Description
Credit risk is today one of the most intensely studied topics in quantitative finance. This book provides an introduction and overview for readers who seek an up-to-date reference to the central problems of the field and to the tools currently used to analyze them. The book is aimed at researchers and students in finance, at quantitative analysts in banks and other financial institutions, and at regulators interested in the modeling aspects of credit risk.
David Lando considers the two broad approaches to credit risk analysis: that based on classical option pricing models on the one hand, and on a direct modeling of the default probability of issuers on the other. He offers insights that can be drawn from each approach and demonstrates that the distinction between the two approaches is not at all clear-cut. The book strikes a fruitful balance between quickly presenting the basic ideas of the models and offering enough detail so readers can derive and implement the models themselves. The discussion of the models and their limitations and five technical appendixes help readers expand and generalize the models themselves or to understand existing generalizations. The book emphasizes models for pricing as well as statistical techniques for estimating their parameters. Applications include rating-based modeling, modeling of dependent defaults, swap- and corporate-yield curve dynamics, credit default swaps, and collateralized debt obligations.
Credit Risk Modeling : Theory and Applications (Princeton Series in Finance),David Lando,Princeton University Press,0691089299,Banks & Banking,Business & Economics,Business / Economics / Finance,Business/Economics,Credit,Economics - Theory,Finance,Financial management,Management,Risk management,Business & Economics / Economics / Theory,Economics
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