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The art of credit derivatives demystifying the black swan

Coverage includes:ul type="disc"ligroundbreaking solutions to the inherent risks associated with investing in securitization instrumentslihow to use the standardized credit indices as the most appropriate instruments in price discovery processes and why these indices are the essential tool...

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Bibliographic Details
Main Author: Garcia, João
Other Authors: Goossens, Serge
Format: eBook
Language:English
Published: Chichester, West Sussex, U.K. Wiley 2010
Series:The Wiley Finance Series
Subjects:
Instruments Dérivés De Crédit
Securities / Http://id.loc.gov/authorities/subjects/sh85119463
Gestion De Portefeuille
Portfolio Management / Fast
Business & Economics / Finance / Bisacsh
Securities / Fast
Credit Derivatives / Fast
Credit Derivatives / Http://id.loc.gov/authorities/subjects/sh98007287
Portfolio Management / Http://id.loc.gov/authorities/subjects/sh85105080
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
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245 0 0 |a The art of credit derivatives  |b demystifying the black swan  |c João Garcia and Serge Goossens 
260 |a Chichester, West Sussex, U.K.  |b Wiley  |c 2010 
300 |a xxi, 242 pages  |b illustrations 
505 0 |a 13.5 Lévy Copula Tranche Loss Correlations13.6 Marshall-Olkin Copula Tranche Loss Correlations; 13.7 Conclusions; 14 Cash Flow CDOs; 14.1 Introduction; 14.2 The Waterfall of a Cash Flow CDO; 14.3 BET Methodology; 14.4 Results; 14.5 AIG and BET; 14.6 Conclusions; 15 Structured Credit Products: CPPI and CPDO; 15.1 Introduction; 15.2 Multivariate VG Modeling; 15.3 Swaptions on Credit Indices; 15.4 Model Calibration; 15.5 CPPI; 15.6 CPDO; 15.7 Conclusion; PART IV ASSET BACKED SECURITIES; 16 ABCDS and PAUG; 16.1 Introduction; 16.2 ABCDSs versus Corporate CDSs; 16.3 ABCDS Pay As You Go: PAUG 
505 0 |a 10.5 Conclusions11 Base Expected Loss and Base Correlation Smile; 11.1 Introduction; 11.2 Base Correlation and Expected Loss: Intuition; 11.3 Base Correlation and Interpolation; 11.4 Base Expected Loss; 11.5 Interpolation; 11.6 Numerical Results; 11.7 Conclusions; 12 Base Correlation Mapping; 12.1 Introduction; 12.2 Correlation Mapping for Bespoke Portfolios; 12.3 Numerical Results; 12.4 Final Comments; 13 Correlation from Collateral to Tranches; 13.1 Introduction; 13.2 Generic 1-Factor Model; 13.3 Monte Carlo Simulation and Importance Sampling; 13.4 Gaussian Copula Tranche Loss Correlations 
505 0 |a 4.6 The Big Bang Protocol5 Pricing Credit Spread Options: A 2-factor HW-BK Algorithm; 5.1 Introduction; 5.2 The Credit Event Process; 5.3 Credit Spread Options; 5.4 Hull-White and Black-Karazinsky Models; 5.5 Results; 5.6 Conclusion; 6 Counterparty Risk and Credit Valuation Adjustment; 6.1 Introduction; 6.2 Valuation of the CVA; 6.3 Monte Carlo Simulation for CVA on CDS; 6.4 Semi-analytic Correlation Model; 6.5 Numerical Results; 6.6 CDS with Counterparty Risk; 6.7 Counterparty Risk Mitigation; 6.8 Conclusions; PART III MULTINAME CORPORATE CREDIT DERIVATIVES; 7 Collateralized Debt Obligations 
505 0 |a 7.1 Introduction7.2 A Brief Overview of CDOs; 7.3 Cash versus Synthetic CDOs; 7.4 Synthetic CDOs and Leverage; 7.5 Concentration, Correlation and Diversification; 8 Standardized Credit Indices; 8.1 Introduction; 8.2 Credit Default Swap Indices; 8.3 Standardization; 8.4 iTraxx, CDX and their Tranches; 8.5 Theoretical Fair Spread of Indices; 9 Pricing Synthetic CDO Tranches; 9.1 Introduction; 9.2 Generic 1-Factor Model; 9.3 Implied Compound and Base Correlation; 10 Historical Study of Lévy Base Correlation; 10.1 Introduction; 10.2 Historical Study; 10.3 Base Correlation; 10.4 Hedge Parameters 
505 0 |a The Art of Credit Derivatives: Demystifying the Black Swan; Contents; About the Authors; Acknowledgements; Preface; List of Tables; List of Figures; 1 Introduction; PART I MODELING FRAMEWORK; 2 Default Models; 2.1 Introduction; 2.2 Default; 2.3 Default Models; 3 Modeling Dependence with Copulas; 3.1 Introduction; 3.2 Copula; 3.3 Using Copulas in Practice and Factor Analysis; PART II SINGLE NAME CORPORATE CREDIT DERIVATIVES; 4 Credit Default Swaps; 4.1 Introduction; 4.2 Credit Default Swap: A Description; 4.3 Modeling CDSs; 4.4 Calibrating the Survival Probability; 4.5 2008 Auction Results 
505 0 |a Includes bibliographical references and index 
653 |a Instruments dérivés de crédit 
653 |a Securities / http://id.loc.gov/authorities/subjects/sh85119463 
653 |a Gestion de portefeuille 
653 |a Portfolio management / fast 
653 |a BUSINESS & ECONOMICS / Finance / bisacsh 
653 |a Securities / fast 
653 |a Credit derivatives / fast 
653 |a Credit derivatives / http://id.loc.gov/authorities/subjects/sh98007287 
653 |a Portfolio management / http://id.loc.gov/authorities/subjects/sh85105080 
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520 |a Coverage includes:ul type="disc"ligroundbreaking solutions to the inherent risks associated with investing in securitization instrumentslihow 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 managementliwhy the dynamics of systemic correlation and the standardised credit indices are linked with leverage, and consequently the implications for liquidity and solvability of financial institutionslihow Lévy processes and long term memory processes are related to the understanding of economic activityliwhy regulatory capital should be portfolio dependant and how to use stress tests and scenario analysis to model thislihow to put structured products in a mark-to market-environment, increasing transparency for accounting and compliance./ul This book will be invaluable reading for Credit Analysts, Quantitative Analysts, Credit Portfolio Managers,  
520 |a Academics and anyone interested in these complex yet important markets 
520 |a 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. i/i iThe Art of Credit Derivatives/i 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.  

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