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1. |
Record Nr. |
UNINA990001056350403321 |
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Autore |
Salomaa, Arto |
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Titolo |
Jewels of Formal Language Theory / Arto Salomaa |
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Pubbl/distr/stampa |
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Rockville : Computer Science Press, 1981 |
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Disciplina |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910915499703321 |
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Autore |
Terrone, Francesco |
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Titolo |
Il silenzio del mare / Francesco Terrone |
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Pubbl/distr/stampa |
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Milano, : G. Miano, 2016 (, stampa 2017) |
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Descrizione fisica |
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Collana |
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Disciplina |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910827455103321 |
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Autore |
Garcia Joao |
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Titolo |
The art of credit derivatives : demystifying the black swan / / Joao Garcia and Serge Goossens |
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Pubbl/distr/stampa |
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Chichester, West Sussex, : Wiley, c2010 |
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ISBN |
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9786613371805 |
9781119206620 |
1119206626 |
9781283371803 |
1283371804 |
9780470687192 |
0470687193 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (266 p.) |
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Collana |
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The Wiley Finance Series ; ; v.572 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Credit derivatives |
Portfolio management |
Securities |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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 |
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; |
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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 |
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 |
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 |
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 |
16.4 Conclusion |
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Sommario/riassunto |
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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 aut |
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