Credit Risk: Pricing, Measurement, and Management / Edition 1

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Overview

"A clear and comprehensive treatment of credit risk models by two of the leading authorities in the field. It will become the standard reference for both academic researchers and practitioners."—Michael J. Brennan, The Anderson School at UCLA

"Duffie and Singleton provide the first comprehensive, yet readable, treatment of the challenging subject of credit risk. This book will undoubtedly become the ultimate reference for both academics and risk professionals who care to venture beyond the traditional alleys."—Michel Crouhy, Head of Business Analytic Solutions, Canadian Imperial Bank of Commerce

"Duffie and Singleton have written an indispensable guide both to the models and to their implementation. The mathematical workings of the models are conveyed with superb clarity and intuition. Just as importantly, the presentation is well grounded in the economic and institutional features of credit markets. We thereby gain insight into the empirical plausibility of modeling assumptions and guidance on robust model calibration."—Michael Gordy

"Darrell Duffie and Kenneth Singleton have set the standard on credit modeling. Not only is the book appealing to an academic but it also speaks to practitioners. It has the double virtue of being elegant and practical. Further, many if not most of the results are original to the authors."—Larry Eisenberg, President, The Risk Engineering Company

"I like this book very much and shall use it profitably both for my own research and teaching. Duffie and Singleton develop the intellectual basis for understanding, modeling, and measuring credit risk and then develop the issue of risk management. This approach is both intuitive and natural. I can think of no scholars better qualified than they to embark on this ambitious task."—Suresh M. Sundaresan, Graduate School of Business, Columbia University

"Overall, the book succeeds in motivating the reader to consider the alternative approaches to modeling credit risk. . . . Although the book is technically rigorous, the presentation is straightforward so even a casual reader will learn from the authors' insights. Moreover, the seasoned analyst will benefit from the concise summary of many existing techniques."—Amnon Levy, Risk

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Editorial Reviews

Journal of Risk and Insurance - Georges Dionne
This is certainly the best book on credit risk available on the market for academics and practitioners. I recommend the book to academics and professionals, and also for the teaching of credit risk at Masters and PhD levels.
From the Publisher
"This is certainly the best book on credit risk available on the market for academics and practitioners. I recommend the book to academics and professionals, and also for the teaching of credit risk at Masters and PhD levels."—Georges Dionne, Journal of Risk and Insurance
Journal of Risk and Insurance
This is certainly the best book on credit risk available on the market for academics and practitioners. I recommend the book to academics and professionals, and also for the teaching of credit risk at Masters and PhD levels.
— Georges Dionne
Read More Show Less

Product Details

  • ISBN-13: 9780691090467
  • Publisher: Princeton University Press
  • Publication date: 1/6/2003
  • Series: Princeton Series in Finance Series
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 464
  • Product dimensions: 6.66 (w) x 9.32 (h) x 1.29 (d)

Table of Contents

Preface xi
Acknowledgments xiii
1. Introduction 1
1.1. A Brief Zoology of Risks 3
1.2. Organization of Topics 7
2. Economic Principles of Risk Management 12
2.1. What Types of Risk Count Most? 13
2.2. Economics of Market Risk 15
2.3. Economic Principles of Credit Risk 26
2.4. Risk Measurement 29
2.5. Measuring Credit Risk 38
3. Default Arrival: Historical Patterns and Statistical Models 43
3.1. Introduction 43
3.2. Structural Models of Default Probability 53
3.3. From Theor to Practice: Using Distance to Default to Predict Default 57
3.4. Default Intensity 59
3.5. Examples of Intensity Models 64
3.6. Default-Time Simulation 72
3.7. Statistical Prediction of Bankruptcy 74
4. Ratings Transitions: Historical Patterns and Statistical Models 85
4.1. Average Transition Frequencies 85
4.2. Ratings Risk and the Business Cycle 87
4.3. Ratings Transitions and Aging 91
4.4. Ordered Probits of Ratings 92
4.5. Ratings as Markov Chains 94
5. Conceptual Approaches to Valuation of Default Risk 100
5.1. Introduction 100
5.2. Risk-Neutral versus Actual Probabilities 102
5.3. Reduced-Form Pricing 106
5.4. Structural Models 112
5.5. Comparisons of Model-Implied Spreads 114
5.6. From Actual to Risk-Neutral Intensities 118
6. Pricing Corporate and Sovereign Bonds 122
6.1. Uncertain Recover 122
6.2. Reduced-Form Pricing with Recover 125
6.3. Ratings-Based Models of Credit Spreads 137
6.4. Pricing Sovereign Bonds 146
7. Empirical Models of Defaultable Bond Spreads 156
7.1. Credit Spreads and Economic Activity 156
7.2. Reference Curves for Spreads 162
7.3. Parametric Reduced-Form Models 166
7.4. Estimating Structural Models 169
7.5. Parametric Models of Sovereign Spreads 171
8. Credit Swaps 173
8.1. Other Credit Derivatives 173
8.2. The Basic Credit Swap 175
8.3. Simple Credit-Swap Spreads 178
8.4. Model-Based CDS Rates 185
8.5. The Role of Asset Swaps 190
9. Optional Credit Pricing 194
9.1. Spread Options 194
9.2. Callable and Convertible Corporate Debt 201
9.3. A Simple Convertible Bond Pricing Model 215
10. Correlated Defaults 229
10.1. Alternative Approaches to Correlation 229
10.2. CreditMetrics Correlated Defaults 230
10.3. Correlated Default Intensities 233
10.4. Copula-Based Correlation Modeling 237
10.5. Empirical Methods 242
10.6. Default-Time Simulation Algorithms 243
10.7. Joint Default Events 247
11. Collateralized Debt Obligations 250
11.1. Introduction 250
11.2. Some Economics of CDOs 252
11.3. Default-Risk Model 255
11.4. Pricing Examples 260
11.5. Default Loss Analytics 271
11.6. Computation of Diversity Scores 280
12. Over-the-Counter Default Risk and Valuation 285
12.1. Exposure 285
12.2. OTC Credit Risk Value Adjustments 295
12.3. Additional Swap Credit Adjustments 304
12.4. Credit Spreads on Currency Swaps 311
13. Integrated Market and Credit Risk Measurement 314
13.1. Market Risk Factors 315
13.2. Delta-Gamma for Derivatives with Jumps 326
13.3. Integration of Market and Credit Risk 332
13.4. Examples of VaR with Credit Risk 334
Appendix A Introduction to Affine Processes 346
Appendix B Econometrics of Affine Term-Structure Models 362
Appendix C HJM Spread Curve Models 367
References 371
Index 385

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Recipe

"A clear and comprehensive treatment of credit risk models by two of the leading authorities in the field. It will become the standard reference for both academic researchers and practitioners."—Michael J. Brennan, The Anderson School at UCLA

"Duffie and Singleton provide the first comprehensive, yet readable, treatment of the challenging subject of credit risk. This book will undoubtedly become the ultimate reference for both academics and risk professionals who care to venture beyond the traditional alleys."—Michel Crouhy, Head of Business Analytic Solutions, Canadian Imperial Bank of Commerce

"Duffie and Singleton have written an indispensable guide both to the models and to their implementation. The mathematical workings of the models are conveyed with superb clarity and intuition. Just as importantly, the presentation is well grounded in the economic and institutional features of credit markets. We thereby gain insight into the empirical plausibility of modeling assumptions and guidance on robust model calibration."—Michael Gordy

"Darrell Duffie and Kenneth Singleton have set the standard on credit modeling. Not only is the book appealing to an academic but it also speaks to practitioners. It has the double virtue of being elegant and practical. Further, many if not most of the results are original to the authors."—Larry Eisenberg, President, The Risk Engineering Company

"I like this book very much and shall use it profitably both for my own research and teaching. Duffie and Singleton develop the intellectual basis for understanding, modeling, and measuring credit risk and then develop the issue of risk management. This approach isboth intuitive and natural. I can think of no scholars better qualified than they to embark on this ambitious task."—Suresh M. Sundaresan, Graduate School of Business, Columbia University

"Overall, the book succeeds in motivating the reader to consider the alternative approaches to modeling credit risk. . . . Although the book is technically rigorous, the presentation is straightforward so even a casual reader will learn from the authors' insights. Moreover, the seasoned analyst will benefit from the concise summary of many existing techniques."—Amnon Levy, Risk

Read More Show Less

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