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The Art of Credit Derivatives: Demystifying the Black Swan

Book Description

Credit derivatives have been instrumental in the recent increase in securitization activity. The complex nature and the size of the market have given rise to very complex counterparty credit risks. The Lehman failure has shown that these issues can paralyse the financial markets, and the need for detailed understanding has never been greater.

The Art of Credit Derivatives shows practitioners how to put a framework in place which will support the securitization activity. By showing the models that support this activity and linking them with very practical examples, the authors show why a mind-shift within the quant community is needed - a move from simple modeling to a more hands on mindset where the modeler understands the trading implicitly.

The book has been written in five parts, covering the modeling framework; single name corporate credit derivatives; multi name corporate credit derivatives; asset backed securities and dynamic credit portfolio management.

Coverage includes:

  • groundbreaking solutions to the inherent risks associated with investing in securitization instruments

  • how to use the standardized credit indices as the most appropriate instruments in price discovery processes and why these indices are the essential tools for short term credit portfolio management

  • why the dynamics of systemic correlation and the standardised credit indices are linked with leverage, and consequently the implications for liquidity and solvability of financial institutions

  • how Lévy processes and long term memory processes are related to the understanding of economic activity

  • why regulatory capital should be portfolio dependant and how to use stress tests and scenario analysis to model this

  • how to put structured products in a mark-to market-environment, increasing transparency for accounting and compliance.

This book will be invaluable reading for Credit Analysts, Quantitative Analysts, Credit Portfolio Managers, Academics and anyone interested in these complex yet important markets.

Table of Contents

  1. Title Page
  2. Copyright Page
  3. About the Authors
  4. Acknowledgements
  5. Preface
  6. List of Tables
  7. Table of Figures
  8. Chapter 1 - Introduction
  9. Part I - Modeling Framework
    1. Chapter 2 - Default Models
      1. 2.1 INTRODUCTION
      2. 2.2 DEFAULT
      3. 2.3 DEFAULT MODELS
    2. Chapter 3 - Modeling Dependence with Copulas
      1. 3.1 INTRODUCTION
      2. 3.2 COPULA
      3. 3.3 USING COPULAS IN PRACTICE AND FACTOR ANALYSIS
  10. Part II - Single Name Corporate Credit Derivatives
    1. Chapter 4 - Credit Default Swaps
      1. 4.1 INTRODUCTION
      2. 4.2 CREDIT DEFAULT SWAP: A DESCRIPTION
      3. 4.3 MODELING CDSS
      4. 4.4 CALIBRATING THE SURVIVAL PROBABILITY
      5. 4.5 2008 AUCTION RESULTS
      6. 4.6 THE BIG BANG PROTOCOL
    2. Chapter 5 - Pricing Credit Spread Options: A 2-factor HW-BK Algorithm
      1. 5.1 INTRODUCTION
      2. 5.2 THE CREDIT EVENT PROCESS
      3. 5.3 CREDIT SPREAD OPTIONS
      4. 5.4 HULL-WHITE AND BLACK-KARAZINSKY MODELS
      5. 5.5 RESULTS
      6. 5.6 CONCLUSION
    3. Chapter 6 - Counterparty Risk and Credit Valuation Adjustment
      1. 6.1 INTRODUCTION
      2. 6.2 VALUATION OF THE CVA
      3. 6.3 MONTE CARLO SIMULATION FOR CVA ON CDS
      4. 6.4 SEMI-ANALYTIC CORRELATION MODEL
      5. 6.5 NUMERICAL RESULTS
      6. 6.6 CDS WITH COUNTERPARTY RISK
      7. 6.7 COUNTERPARTY RISK MITIGATION
      8. 6.8 CONCLUSIONS
  11. Part III - Multiname Corporate Credit Derivatives
    1. Chapter 7 - Collateralized Debt Obligations
      1. 7.1 INTRODUCTION
      2. 7.2 A BRIEF OVERVIEW OF CDOs
      3. 7.3 CASH VERSUS SYNTHETIC CDOs
      4. 7.4 SYNTHETIC CDOS AND LEVERAGE
      5. 7.5 CONCENTRATION, CORRELATION AND DIVERSIFICATION
    2. Chapter 8 - Standardized Credit Indices
      1. 8.1 INTRODUCTION
      2. 8.2 CREDIT DEFAULT SWAP INDICES
      3. 8.3 STANDARDIZATION
      4. 8.4 ITRAXX, CDX AND THEIR TRANCHES
      5. 8.5 THEORETICAL FAIR SPREAD OF INDICES
    3. Chapter 9 - Pricing Synthetic CDO Tranches
      1. 9.1 INTRODUCTION
      2. 9.2 GENERIC 1-FACTOR MODEL
      3. 9.3 IMPLIED COMPOUND AND BASE CORRELATION
    4. Chapter 10 - Historical Study of Lévy Base Correlation
      1. 10.1 INTRODUCTION
      2. 10.2 HISTORICAL STUDY
      3. 10.3 BASE CORRELATION
      4. 10.4 HEDGE PARAMETERS
      5. 10.5 CONCLUSIONS
    5. Chapter 11 - Base Expected Loss and Base Correlation Smile
      1. 11.1 INTRODUCTION
      2. 11.2 BASE CORRELATION AND EXPECTED LOSS: INTUITION
      3. 11.3 BASE CORRELATION AND INTERPOLATION
      4. 11.4 BASE EXPECTED LOSS
      5. 11.5 INTERPOLATION
      6. 11.6 NUMERICAL RESULTS
      7. 11.7 CONCLUSIONS
    6. Chapter 12 - Base Correlation Mapping
      1. 12.1 INTRODUCTION
      2. 12.2 CORRELATION MAPPING FOR BESPOKE PORTFOLIOS
      3. 12.3 NUMERICAL RESULTS
      4. 12.4 FINAL COMMENTS
    7. Chapter 13 - Correlation from Collateral to Tranches
      1. 13.1 INTRODUCTION
      2. 13.2 GENERIC 1-FACTOR MODEL
      3. 13.3 MONTE CARLO SIMULATION AND IMPORTANCE SAMPLING
      4. 13.4 GAUSSIAN COPULA TRANCHE LOSS CORRELATIONS
      5. 13.5 LÉVY COPULA TRANCHE LOSS CORRELATIONS
      6. 13.6 MARSHALL-OLKIN COPULA TRANCHE LOSS CORRELATIONS
      7. 13.7 CONCLUSIONS
    8. Chapter 14 - Cash Flow CDOs
      1. 14.1 INTRODUCTION
      2. 14.2 THE WATERFALL OF A CASH FLOW CDO
      3. 14.3 BET METHODOLOGY
      4. 14.4 RESULTS
      5. 14.5 AIG AND BET
      6. 14.6 CONCLUSIONS
    9. Chapter 15 - Structured Credit Products: CPPI and CPDO
      1. 15.1 INTRODUCTION
      2. 15.2 MULTIVARIATE VG MODELING
      3. 15.3 SWAPTIONS ON CREDIT INDICES
      4. 15.4 MODEL CALIBRATION
      5. 15.5 CPPI
      6. 15.6 CPDO
      7. 15.7 CONCLUSION
  12. Part IV - Asset Backed Securities
    1. Chapter 16 - ABCDS and PAUG
      1. 16.1 INTRODUCTION
      2. 16.2 ABCDSS VERSUS CORPORATE CDSS
      3. 16.3 ABCDS PAY AS YOU GO: PAUG
      4. 16.4 CONCLUSION
    2. Chapter 17 - One Credit Event Models for CDOs of ABS
      1. 17.1 INTRODUCTION
      2. 17.2 ABS BOND AND ABCDS
      3. 17.3 SINGLE NAME SENSITIVITY
      4. 17.4 MULTIFACTOR CORRELATION MODEL
      5. 17.5 MONTE CARLO SIMULATION
      6. 17.6 RESULTS
      7. 17.7 CONCLUSIONS
    3. Chapter 18 - More Standardized Credit Indices: ABX, TABX, CMBX, LCDX, LevX
      1. 18.1 INTRODUCTION
      2. 18.2 ABX AND TABX
      3. 18.3 LEVX AND LCDX
      4. 18.4 CMBX AND ECMBX
      5. 18.5 INDICES AS INDICATORS
    4. Chapter 19 - 1-factor Models for the ABS Correlation Market Pricing TABX Tranches
      1. 19.1 INTRODUCTION
      2. 19.2 GENERIC 1-FACTOR MODEL
      3. 19.3 AMORTIZING BOND AND CDS
      4. 19.4 A SIMPLE MODEL FOR AMORTIZATION AND PREPAYMENT
      5. 19.5 ABX.HE CREDIT INDEX
      6. 19.6 PREPAYMENT AND MODEL CALIBRATION
      7. 19.7 PRICING MODEL IMPLICATIONS
      8. 19.8 CONCLUSIONS
    5. Chapter 20 - Bond Price Implied Spreads
      1. 20.1 INTRODUCTION
      2. 20.2 BOND PRICE IMPLIED SPREADS
      3. 20.3 NUMERICAL RESULTS
  13. Part V - Dynamic Credit Portfolio Management
    1. Chapter 21 - Long Memory Processes and Benoit Mandelbrot
      1. 21.1 INTRODUCTION
      2. 21.2 ECONOPHYSICS, FAT TAILS AND BROWNIAN MOTION
      3. 21.3 LONG-TERM MEMORY AND THE NILE RIVER
      4. 21.4 CAPITAL ASSET PRICING MODEL
    2. Chapter 22 - Securitization and the Credit Crunch
      1. 22.1 INTRODUCTION
      2. 22.2 CORRELATION AND MORTGAGE-BACKED SECURITIES
      3. 22.3 SECURITIZATION AND ECONOMIC GROWTH
    3. Chapter 23 - Dynamic Credit Portfolio Management
      1. 23.1 INTRODUCTION
      2. 23.2 REGULATORY CAPITAL AND BASEL FORMULAS
      3. 23.3 PORTFOLIO CREDIT RISK AND ECONOMIC CAPITAL
      4. 23.4 SECURITIZATION AND CDO MODELS
      5. 23.5 CDO PRICING
      6. 23.6 CREDIT PORTFOLIO MANAGEMENT AND CORRELATION MAPPING
      7. 23.7 STRATEGIC CREDIT ECAP MANAGEMENT
  14. Chapter 24: Conclusion
  15. Appendix A - Economic Capital Allocation Approaches
  16. Appendix B - Generalized Gauss Laguerre Quadrature
  17. References
  18. Index