Credit Risk Modeling using Excel and VBA, Second Edition
- 6h 15m
- Gunter Löffler, Peter N. Posch
- John Wiley & Sons (UK)
- 2011
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.
Clearly written with a multitude of practical examples, the new edition of Credit Risk Modeling using Excel and VBA will prove an indispensible resource for anyone working in, studying or researching this important field.
About the Authors
Gunter Löffler is Professor of Finance at the University of Ulm in Germany. His current research interests are on credit risk and empirical finance. Previously, Gunter was Assistant Professor at Goethe University Frankfurt, and served as an internal consultant in the asset management division of Commerzbnk, His Ph.D. in finance is from the University of Mannheim. Gunter has studied at Heidelberg and Cambridge Universities.
Peter N. Posch is Assistant Professor of Finance at the University of Ulm in Germany. Previously Peter was co-head of credit treasury at a large bank, where he also traded credit derivatives and other fixed income products for the bank’s proprietary books. His Ph.D. in finance on the dynamics of credit risk is from the University of Ulm. Peter has studied economics, philosophy and law at the University of Bonn.
In this Book
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Some Hints for Troubleshooting
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Estimating Credit Scores with Logit
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The Structural Approach to Default Prediction and Valuation
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Transition Matrices
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Prediction of Default and Transition Rates
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Prediction of Loss Given Default
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Modeling and Estimating Default Correlations with the Asset Value Approach
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Measuring Credit Portfolio Risk with the Asset Value Approach
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Validation of Rating Systems
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Validation of Credit Portfolio Models
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Credit Default Swaps and Risk-Neutral Default Probabilities
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Risk Analysis and Pricing of Structured Credit—CDOs and First-to-Default Swaps
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Basel II and Internal Ratings
