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9780691089294

Credit Risk Modeling

by
  • ISBN13:

    9780691089294

  • ISBN10:

    0691089299

  • Format: Hardcover
  • Copyright: 2004-06-01
  • Publisher: Princeton Univ Pr

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Summary

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.

Table of Contents

Preface xi
1 An Overview 1(6)
2 Corporate Liabilities as Contingent Claims 7(52)
2.1 Introduction
7(1)
2.2 The Merton Model
8(9)
2.3 The Merton Model with Stochastic Interest Rates
17(3)
2.4 The Merton Model with Jumps in Asset Value
20(7)
2.5 Discrete Coupons in a Merton Model
27(2)
2.6 Default Barriers: the Black-Cox Setup
29(5)
2.7 Continuous Coupons and Perpetual Debt
34(2)
2.8 Stochastic Interest Rates and Jumps with Barriers
36(4)
2.9 A Numerical Scheme when Transition Densities are Known
40(1)
2.10 Towards Dynamic Capital Structure: Stationary Leverage Ratios
41(1)
2.11 Estimating Asset Value and Volatility
42(6)
2.12 On the KMV Approach
48(3)
2.13 The Trouble with the Credit Curve
51(3)
2.14 Bibliographical Notes
54(5)
3 Endogenous Default Boundaries and Optimal Capital Structure 59(16)
3.1 Leland's Model
60(4)
3.2 A Model with a Maturity Structure
64(2)
3.3 EBIT-Based Models
66(4)
3.4 A Model with Strategic Debt Service
70(2)
3.5 Bibliographical Notes
72(3)
4 Statistical Techniques for Analyzing Defaults 75(34)
4.1 Credit Scoring Using Logistic Regression
75(2)
4.2 Credit Scoring Using Discriminant Analysis
77(4)
4.3 Hazard Regressions: Discrete Case
81(2)
4.4 Continuous-Time Survival Analysis Methods
83(4)
4.5 Markov Chains and Transition-Probability Estimation
87(6)
4.6 The Difference between Discrete and Continuous
93(4)
4.7 A Word of Warning on the Markov Assumption
97(5)
4.8 Ordered Probits and Ratings
102(2)
4.9 Cumulative Accuracy Profiles
104(2)
4.10 Bibliographical Notes
106(3)
5 Intensity Modeling 109(36)
5.1 What Is an Intensity Model?
111(1)
5.2 The Cox Process Construction of a Single Jump Time
112(2)
5.3 A Few Useful Technical Results
114(1)
5.4 The Martingale Property
115(1)
5.5 Extending the Scope of the Cox Specification
116(1)
5.6 Recovery of Market Value
117(3)
5.7 Notes on Recovery Assumptions
120(2)
5.8 Correlation in Affine Specifications
122(4)
5.9 Interacting Intensities
126(2)
5.10 The Role of Incomplete Information
128(5)
5.11 Risk Premiums in Intensity-Based Models
133(6)
5.12 The Estimation of Intensity Models
139(3)
5.13 The Trouble with the Term Structure of Credit Spreads
142(1)
5.14 Bibliographical Notes
143(2)
6 Rating-Based Term-Structure Models 145(24)
6.1 Introduction
145(1)
6.2 A Markovian Model for Rating-Based Term Structures
145(7)
6.3 An Example of Calibration
152(3)
6.4 Class-Dependent Recovery
155(2)
6.5 Fractional Recovery of Market Value in the Markov Model
157(2)
6.6 A Generalized Markovian Model
159(3)
6.7 A System of PDEs for the General Specification
162(2)
6.8 Using Thresholds Instead of a Markov Chain
164(2)
6.9 The Trouble with Pricing Based on Ratings
166(1)
6.10 Bibliographical Notes
166(3)
7 Credit Risk and Interest-Rate Swaps 169(28)
7.1 LIBOR
170(1)
7.2 A Useful Starting Point
170(1)
7.3 Fixed-Floating Spreads and the "Comparative-Advantage Story"
171(5)
7.4 Why LIBOR and Counterparty Credit Risk Complicate Things
176(2)
7.5 Valuation with Counterparty Risk
178(4)
7.6 Netting and the Nonlinearity of Actual Cash Flows: a Simple Example
182(1)
7.7 Back to Linearity: Using Different Discount Factors
183(6)
7.8 The Swap Spread versus the Corporate-Bond Spread
189(3)
7.9 On the Swap Rate, Repo Rates, and the Riskless Rate
192(2)
7.10 Bibliographical Notes
194(3)
8 Credit Default Swaps, CDOs, and Related Products 197(16)
8.1 Some Basic Terminology
197(4)
8.2 Decomposing the Credit Default Swap
201(3)
8.3 Asset Swaps
204(2)
8.4 Pricing the Default Swap
206(2)
8.5 Some Differences between CDS Spreads and Bond Spreads
208(1)
8.6 A First-to-Default Calculation
209(2)
8.7 A Decomposition of m-of-n-to-Default Swaps
211(1)
8.8 Bibliographical Notes
212(1)
9 Modeling Dependent Defaults 213(38)
9.1 Some Preliminary Remarks on Correlation and Dependence
214(2)
9.2 Homogeneous Loan Portfolios
216(17)
9.3 Asset-Value Correlation and Intensity Correlation
233(9)
9.4 The Copula Approach
242(3)
9.5 Network Dependence
245(4)
9.6 Bibliographical Notes
249(2)
Appendix A Discrete-Time Implementation 251(8)
A.1 The Discrete-Time, Finite-State-Space Model
251(1)
A.2 Equivalent Martingale Measures
252(3)
A.3 The Binomial Implementation of Option-Based Models
255(1)
A.4 Term-Structure Modeling Using Trees
256(1)
A.5 Bibliographical Notes
257(2)
Appendix B Some Results Related to Brownian Motion 259(8)
B.1 Boundary Hitting Times
259(1)
B.2 Valuing a Boundary Payment when the Contract Has Finite Maturity
260(1)
B.3 Present Values Associated with Brownian Motion
261(4)
B.4 Bibliographical Notes
265(2)
Appendix C Markov Chains 267(8)
C.1 Discrete-Time Markov Chains
267(1)
C.2 Continuous-Time Markov Chains
268(5)
C.3 Bibliographical Notes
273(2)
Appendix D Stochastic Calculus for Jump-Diffusions 275(16)
D.1 The Poisson Process
275(1)
D.2 A Fundamental Martingale
276(1)
D.3 The Stochastic Integral and Ito's Formula for a Jump Process
276(2)
D.4 The General Ito Formula for Semimartingales
278(1)
D.5 The Semimartingale Exponential
278(1)
D.6 Special Semimartingales
279(3)
D.7 Local Characteristics and Equivalent Martingale Measures
282(4)
D.8 Asset Pricing and Risk Premiums for Special Semimartingales
286(2)
D.9 Two Examples
288(2)
D.10 Bibliographical Notes
290(1)
Appendix E A Term-Structure Workhorse 291(6)
References 297(10)
Index 307

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