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Credit Risk Modeling: Theory and Applications (Princeton Series in Finance)

by David Lando

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Editorial Reviews
Product 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.


All Customer Reviews
Average Customer Review:2 out of 5 stars
0 of 0 people found the following review helpful:

1 out of 5 starsWaste of Money, 2008-10-10
This is one of the worst books I have read in applied probability. Key results are glossed over, sometimes stated incorrectly, and almost always incomplete. I will give two examples: (1) In page 33, line 2 the author quotes a formula and places a footnote saying that it does not agree with the result of the original paper. The result in Lando misses a term exp(-\gamma T) and is therefore incorrect, but Lando can't be bothered about who is right, he or the original authors. (2) In page 114, a formula (5.3) and the one preceding it are quoted as "essential ingredient"s in obtaining many pricing formulae but not proved. I wasted considerable amount purchasing the book and cannot recommend it based on its quality or level of content. To call it a book for a course is a cruel joke.


1 of 1 people found the following review helpful:

3 out of 5 starsThis book is too quick for an introduction, 2006-05-13
I took a master level credit risk class with two assigned textbooks: this one and Quantitative Risk Management by McNeil et al. I love the second book more because it explains the fundamentals in a fabulous way; most of our lectures followed materials in McNeil's. As someone explained in another entry, Lando's book is like a survey book, which is very compact for a beginner.


7 of 7 people found the following review helpful:

4 out of 5 starsNot bad at all..., 2004-07-21
Contrary to other people, I have found the book very interesting and readable...The author is also referring to practical issues such as asset volatility estimation and CDO pricing..I think this book is more comparable to Bielecki-Rutkowsky kind of book, than to Schonbucher. It gives a good foundation of the theory, even if sometime I would have preferred to have more proofs of theorems.
Compact, readable and fairly complete.



21 of 25 people found the following review helpful:

1 out of 5 starsA casual collection of models without sound understanding, 2004-07-20
The author briefly touched many models without quite understanding them himself (or checking their validity). Most of the text were collected (and rewritten) from reading the abstract or conclusion of the original papers. There is not enough insight or new info. It is absolutely not a book for someone who wants to learn because it is like a undergraduate's study report. If a book reviews many models, it should provide some insights, pros and cons of them, and at least some framework for other researchers to follow. It loses value if it merely rephrases some obvious and straghtforward assumptions of the original models.

I admire the author and the editor (Duffie) as researchers. However, the author is not ready yet to write a book of this kind and the editor has been a super star in finance, hence should not lower himself to this level for the sake of publication. This book does not provide useful info at all. Not good for a researcher or a practitioner (at all). Why not read the original papers' abstracts? That would be more informative.


18 of 23 people found the following review helpful:

2 out of 5 starsA book for those who think Robert Jarrow is a lightweight!, 2004-07-02
Robert Jarrow praises this book! I think that tells you the level of this text. It's Ivy League Ph.D.-school material with inadequate background provided. I guess if you are already a director of research in an investment bank, this book provides a lucid and compact survey of the current state-of-the-art techniques of credit risk modeling. In short, this is a book written for people who already are comfortable with the subject at a very high level.

If you are a regular Schmoe like myself (someone comfortable at the Hull or Cuthbertson and Nitzche level) much of this book may zoom over your head. But if you regulary snicker at folks like me as derivatives dilatants and poseurs, I'd say check it out.

The book may be great. But for me it was a waste of money.

Did I mention that Robert Jarrow likes it?




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