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Kurzbeschreibung
This book provides practitioners and students with a hands-on introduction to modern credit risk modeling. The authors begin each chapter with an accessible presentation of a given methodology, before providing a step-by-step guide to implementation methods in Excel and Visual Basic for Applications (VBA). The book covers default probability estimation (scoring, structural models, and transition matrices), correlation and portfolio analysis, validation, as well as credit default swaps and structured finance. Several appendices and videos increase ease of access. The second edition includes new coverage of the important issue of how parameter uncertainty can be dealt with in the estimation of portfolio risk, as well as comprehensive new sections on the pricing of CDSs and CDOs, and a chapter on predicting borrower-specific loss given default with regression models. In all, the authors present a host of applications – many of which go beyond standard Excel or VBA usages, for example, how to estimate logit models with maximum likelihood, or how to quickly conduct large-scale Monte Carlo simulations.
Praise for the first edition “In one place, Löffler and Posch provide all that is needed to install a state-of-the-art risk management system, including a broad understanding of different risk management frameworks, detailed estimation techniques for deriving PD, LGD, and correlation parameters, and programming tools for putting these methods into practice.” Richard Cantor, Chief Credit Officer, Moody’s Investors Service
“I read this book cover-to-cover and recommend it heartily. For each topic, there is straightforward explanation, practical examples, and implementable coding. This book would have saved me months of effort many times over with its full ‘toolset’ of Excel/VBA code. I have immediate plans to reread sections and incorporate sections of code into my own spreadsheets.” Greg M. Gupton, Founder and Director, DefaultRisk.com
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Additional material, including slide sets and exercises for lecturers, is available on our homepage
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15 Rezensionen
26 von 26 Kunden fanden die folgende Rezension hilfreich
very good guide to credit risk modeling
10. August 2007
Format:Gebundene Ausgabe
Finally a book came out that concerns the "normal" credit risk modeling as opposed to just credit risk pricing of derivatives and structured products. This book is excellent. I give it 4 stars because of the choice of the software, i.e. Excel. Almost everyone who is doing this kind of analysis is not doing it in Excel (from experience) but rather S-PLUS, R or SAS. But ok, not that big of a problem.
I would say that this is a good guide to credit risk modeling, but the reader should fill quite a lot for him/herself, but this will come from practice. Overall, the authors present the problems and solutions in a intuitive way and quite narrative, which makes it an easy read. They also explain the Excel and VBA code rather than just presenting it, which enables the reader to reproduce it easier.
Overall, I would recommend this book to anyone in credit risk management and especially to universities and students as often they come unprepared to the real world of credit risk modeling.
I would say that this is a good guide to credit risk modeling, but the reader should fill quite a lot for him/herself, but this will come from practice. Overall, the authors present the problems and solutions in a intuitive way and quite narrative, which makes it an easy read. They also explain the Excel and VBA code rather than just presenting it, which enables the reader to reproduce it easier.
Overall, I would recommend this book to anyone in credit risk management and especially to universities and students as often they come unprepared to the real world of credit risk modeling.
7 von 7 Kunden fanden die folgende Rezension hilfreich
good for professional risk managers too
29. Februar 2008
Format:Gebundene Ausgabe
An extensive primer that gives a thorough understanding of Conditional Volatility models. Also great in letting the reader understand influence of asymmetry and correlations concepts on risk modelling. It is useful even if Excel or VBA is not your choice modelling application (whcih in most cases is not). More content in future editions on controlling the volatility of different forcast techniques would be a beneficial addition.
7 von 7 Kunden fanden die folgende Rezension hilfreich
Credit Risk Modeling using Excel and VBA
3. Juli 2007
Format:Gebundene Ausgabe
The book is a very good guide for anyone who is not familiar with Excel, VBA and or credit risk modelling. Even for the more experienced practitioner there is something to learn. For anyone wanting a practical guide I would thoroughly recommend this book.
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