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Advanced derivatives pricing and risk management [[electronic resource] ] : theory, tools and hands-on programming application / / Claudio Albanese and Giuseppe Campolieti
Advanced derivatives pricing and risk management [[electronic resource] ] : theory, tools and hands-on programming application / / Claudio Albanese and Giuseppe Campolieti
Autore Albanese Claudio
Pubbl/distr/stampa Amsterdam ; ; Boston, : Elsevier Academic Press, c2006
Descrizione fisica 1 online resource (435 p.)
Disciplina 332.64/57
Altri autori (Persone) CampolietiGiuseppe
Collana Academic Press advanced finance series
Soggetto topico Risk management
Derivative securities - Prices
Soggetto genere / forma Electronic books.
ISBN 1-281-05315-5
9786611053154
0-08-048809-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Pricing theory -- Fixed-income instruments -- Advanced topics in pricing theory : exotic options and state-dependent models -- Numerical methods for value-at-risk -- Project : arbitrage theory -- Project : the Black-Scholes (lognormal) model -- Project : quantile-quantile plots -- Project : Monte Carlo pricer -- Project : the binomial lattice model -- Project : the trinomial lattice model -- Project : Crank-Nicolson option pricer -- Project : static hedging of barrier options -- Project : variance swaps -- Project : Monte Carlo value-at-risk for Delta-Gamma portfolios -- Project : covariance estimation and scenario generation in value-at-risk -- Project : interest rate trees : calibration and pricing.
Record Nr. UNINA-9910458470803321
Albanese Claudio  
Amsterdam ; ; Boston, : Elsevier Academic Press, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced derivatives pricing and risk management [[electronic resource] ] : theory, tools and hands-on programming application / / Claudio Albanese and Giuseppe Campolieti
Advanced derivatives pricing and risk management [[electronic resource] ] : theory, tools and hands-on programming application / / Claudio Albanese and Giuseppe Campolieti
Autore Albanese Claudio
Pubbl/distr/stampa Amsterdam ; ; Boston, : Elsevier Academic Press, c2006
Descrizione fisica 1 online resource (435 p.)
Disciplina 332.64/57
Altri autori (Persone) CampolietiGiuseppe
Collana Academic Press advanced finance series
Soggetto topico Risk management
Derivative securities - Prices
ISBN 1-281-05315-5
9786611053154
0-08-048809-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Pricing theory -- Fixed-income instruments -- Advanced topics in pricing theory : exotic options and state-dependent models -- Numerical methods for value-at-risk -- Project : arbitrage theory -- Project : the Black-Scholes (lognormal) model -- Project : quantile-quantile plots -- Project : Monte Carlo pricer -- Project : the binomial lattice model -- Project : the trinomial lattice model -- Project : Crank-Nicolson option pricer -- Project : static hedging of barrier options -- Project : variance swaps -- Project : Monte Carlo value-at-risk for Delta-Gamma portfolios -- Project : covariance estimation and scenario generation in value-at-risk -- Project : interest rate trees : calibration and pricing.
Record Nr. UNINA-9910784545903321
Albanese Claudio  
Amsterdam ; ; Boston, : Elsevier Academic Press, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced derivatives pricing and risk management : theory, tools and hands-on programming application / / Claudio Albanese and Giuseppe Campolieti
Advanced derivatives pricing and risk management : theory, tools and hands-on programming application / / Claudio Albanese and Giuseppe Campolieti
Autore Albanese Claudio
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Elsevier Academic Press, c2006
Descrizione fisica 1 online resource (435 p.)
Disciplina 332.64/57
332.6457
Altri autori (Persone) CampolietiGiuseppe
Collana Academic Press advanced finance series
Soggetto topico Risk management
Derivative securities - Prices
ISBN 1-281-05315-5
9786611053154
0-08-048809-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Pricing theory -- Fixed-income instruments -- Advanced topics in pricing theory : exotic options and state-dependent models -- Numerical methods for value-at-risk -- Project : arbitrage theory -- Project : the Black-Scholes (lognormal) model -- Project : quantile-quantile plots -- Project : Monte Carlo pricer -- Project : the binomial lattice model -- Project : the trinomial lattice model -- Project : Crank-Nicolson option pricer -- Project : static hedging of barrier options -- Project : variance swaps -- Project : Monte Carlo value-at-risk for Delta-Gamma portfolios -- Project : covariance estimation and scenario generation in value-at-risk -- Project : interest rate trees : calibration and pricing.
Record Nr. UNINA-9910817459403321
Albanese Claudio  
Amsterdam ; ; Boston, : Elsevier Academic Press, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced equity derivatives [[electronic resource] ] : volatility and correlation / / Se̊bastien Bossu
Advanced equity derivatives [[electronic resource] ] : volatility and correlation / / Se̊bastien Bossu
Autore Bossu Sébastien
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons, , 2014
Descrizione fisica 1 online resource (172 p.)
Disciplina 332.64/57
Collana Wiley Finance Series
Soggetto topico Derivative securities
Actius financers derivats
Soggetto genere / forma Llibres electrònics
ISBN 1-118-77471-X
1-118-83536-0
1-118-77484-1
Classificazione BUS027000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Contents; Foreword; Preface; Acknowledgments; Chapter 1 Exotic Derivatives; 1-1 Single-Asset Exotics; 1-1.1 Digital Options; 1-1.2 Asian Options; 1-1.3 Barrier Options; 1-1.4 Lookback Options; 1-1.5 Forward Start Options; 1-1.6 Cliquet Options; 1-2 Multi-Asset Exotics; 1-2.1 Spread Options; 1-2.2 Basket Options; 1-2.3 Worst-Of and Best-Of Options; 1-2.4 Quanto Options; 1-3 Structured Products; References; Problems; 1.1 "Free" Option; 1.2 Autocallable; 1.3 Geometric Asian Option; 1.4 Change of Measure; 1.5 At-the-Money Lookback Options; 1.6 Siegel's Paradox
Appendix 1.A: Change of Measure and Girsanov's TheoremChapter 2 The Implied Volatility Surface; 2-1 The Implied Volatility Smile and Its Consequences; 2-1.1 Consequence for the Pricing of Call and Put Spreads; 2-1.2 Consequence for Hedge Ratios; 2-1.3 Consequence for the Pricing of Exotics; 2-2 Interpolation and Extrapolation; 2-3 Implied Volatility Surface Properties; 2-4 Implied Volatility Surface Models; 2-4.1 A Parametric Model of Implied Volatility: The SVI Model; 2-4.2 Indirect Models of Implied Volatility; References; Problems; 2.1 No Call or Put Spread Arbitrage Condition
2.2 No Butterfly Spread Arbitrage Condition2.3 Sticky True Delta Rule; 2.4 SVI Fit; Chapter 3 Implied Distributions; 3-1 Butterfly Spreads and the Implied Distribution; 3-2 European Payoff Pricing and Replication; 3-3 Pricing Methods for European Payoffs; 3-4 Greeks; References; Problems; 3.1 Overhedging Concave Payoffs; 3.2 Perfect Hedging with Puts and Calls; 3.3 Implied Distribution and Exotic Pricing; 3.4 Conditional Pricing; 3.5 Path-Dependent Payoff; 3.6 Delta; Chapter 4 Local Volatility and Beyond; 4-1 Local Volatility Trees; 4-2 Local Volatility in Continuous Time
4-3 Calculating Local Volatilities4-3.1 Dupire's Equation; 4-3.2 From Implied Volatility to Local Volatility; 4-3.3 Hedging with Local Volatility; 4-4 Stochastic Volatility; 4-4.1 Hedging Theory; 4-4.2 Connection with Local Volatility; 4-4.3 Monte Carlo Method; 4-4.4 Pricing and Hedging Forward Start Options; 4-4.5 A Word on Stochastic Volatility Models with Jumps; References; Problems; 4.1 From Implied to Local Volatility; 4.2 Market Price of Volatility Risk; 4.3 Local Volatility Pricing; Appendix 4.A: Derivation of Dupire's Equation; Chapter 5 Volatility Derivatives; 5-1 Volatility Trading
5-2 Variance Swaps5-2.1 Variance Swap Payoff; 5-2.2 Variance Swap Market; 5-2.3 Variance Swap Hedging and Pricing; 5-2.4 Forward Variance; 5-3 Realized Volatility Derivatives; 5-4 Implied Volatility Derivatives; 5-4.1 VIX Futures; 5-4.2 VIX Options; References; Problems; 5.1 Delta-Hedging P&L Simulation; 5.2 Volatility Trading with Options; 5.3 Fair Variance Swap Strike; 5.4 Generalized Variance Swaps; 5.5 Call on Realized Variance; Chapter 6 Introducing Correlation; 6-1 Measuring Correlation; 6-1.1 Historical Correlation; 6-1.2 Implied Correlation; 6-2 Correlation Matrices
6-3 Correlation Average
Record Nr. UNINA-9910132199803321
Bossu Sébastien  
Hoboken, New Jersey : , : John Wiley & Sons, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Le calcul numérique en finance empirique et quantitative [[electronic resource] ] : Ingénierie financière et Excel (Visual Basic), 2e édition / / François-Eric Racicot, Raymond Theoret
Le calcul numérique en finance empirique et quantitative [[electronic resource] ] : Ingénierie financière et Excel (Visual Basic), 2e édition / / François-Eric Racicot, Raymond Theoret
Autore Racicot François-Eric
Edizione [2nd ed.]
Pubbl/distr/stampa Québec : , : Presses de l'Université du Québec, , 2004
Descrizione fisica 1 online resource (822 p.)
Disciplina 332.64/57
Altri autori (Persone) TheoretRaymond
Soggetto topico Financial engineering
Derivative securities - Prices - Mathematical models
Soggetto genere / forma Electronic books.
ISBN 2-7605-1772-1
1-4356-9050-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Nota di contenuto TABLE DES MATIÈRES; AVANT-PROPOS; PRÉSENTATION DE LA DEUXIÈME ÉDITION; Partie 1: LES FONDEMENTS; Chapitre 1: LES FONDEMENTS DU CALCUL NUMÉRIQUE; Chapitre 2: UNE INTRODUCTION AUX MÉTHODES; Partie 2: «BOOTSTRAPPING» ET ALGORITHMES D'OPTIMISATION; Chapitre 3: LES ASPECTS THÉORIQUES; Chapitre 4: LES ASPECTS THÉORIQUES DE LA CONSTRUCTION DE L'ARBRE BINOMIAL DE TAUX D'INTÉRÊT DU MODÈLEDE BLACK, DERMAN ET TOY; Chapitre 5: VARIATIONS SUR LES ASPECTS THÉORIQUES DE LA VaR AVEC APPLICATIONS VISUAL BASIC DU CALCUL DE LA VaR SELON LA MÉTHODE DU BOOTSTRAPPING ET SELON L'EXPANSION DE CORNISH-FISHER
Partie 3: ARBRES BINOMIAUX ET TRINOMIAUX ET SIMULATION MONTE CARLOChapitre 6: VARIATIONS SUR LES ASPECTS THÉORIQUES ET PRATIQUES D'OPTIMISATION; Chapitre 7: DE LA CONSTRUCTION D'ARBRES BINOMIAUX ET TRINOMIAUX DES PRIX DES PRODUITS DÉRIVÉS ET DE SES RAPPORTS AVEC LA SIMULATION MONTE CARLO; Chapitre 8: ARBRES BINOMIAUX ADDITIFS ET MULTIPLICATIFS POUR ÉVALUER LES OPTIONS AMÉRICAINES CLASSIQUES SUR ACTIONS PORTANT DIVIDENDE; Partie 4: QUELQUES APPLICATIONS
Chapitre 9: DES ARBRES BINOMIAUX DE TAUX D'INTÉRÊT DES MODÈLES DE BLACK, DERMAN ET TOY ET DE HO ET LEE À L'ÉVALUATION D'OPTIONS SUR TAUX D'INTÉRÊT DANS LE CADRE DE LA PROGRAMMATION VISUAL BASICChapitre 10: MODÉLISATION DE LA VALEUR; Chapitre 11: LE TAUX REPO IMPLICITE ET LES STRATÉGIES D'ARBITRAGE SUR LE MARCHÉ À TERME; Partie 5: MÉTHODES MODERNES DE LA FINANCE EMPIRIQUE ET QUANTITATIVE; Chapitre 12: LES OPTIONS RÉELLES; Chapitre 13: LA MÉTHODE DES DIFFÉRENCES FINIES; Chapitre 14: L'ANALYSE DES DONNÉES À HAUTE FRÉQUENCE
Chapitre 15: LE TRAITEMENT ÉCONOMÉTRIQUE DES ERREURS SUR LES VARIABLES PAR LES VARIABLES INSTRUMENTALESAnnexe 1: INTRODUCTION À L'ÉCONOMÉTRIE FINANCIÈRE; Annexe 2: MÉTHODE GÉNÉRALE POUR CALCULER UNE FRONTIÈRE EFFICIENTE AVEC APPLICATION VISUAL BASIC; Annexe 3: ÉVALUATION DE LA GESTION DE PORTEFEUILLE; Annexe 4: TECHNIQUES D'ASSURANCE DE PORTEFEUILLES; Annexe 5: PROGRAMME VISUAL BASIC D'UNE MATRICE DE CORRÉLATION ET DE VARIANCE-COVARIANCE DES RENDEMENTS DES TITRES D'UN PORTEFEUILLE; Annexe 6: FRONTIÈRES EFFICIENTES INSPIRÉES DE BENNINGA (2000) ET DE JACKSON ET STAUNTON (2001)
Annexe 7: DISTINCTION ENTRE L'APPROCHE DU PORTEFEUILLE DUPLIQUANT ET L'APPROCHE RISQUE-NEUTRE À LA CONSTRUCTION DE L'ARBRE BINOMIAL
Record Nr. UNINA-9910734995203321
Racicot François-Eric  
Québec : , : Presses de l'Université du Québec, , 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Counterparty credit risk and credit value adjustment [[electronic resource] ] : a continuing challenge for global financial markets / / Jon Gregory
Counterparty credit risk and credit value adjustment [[electronic resource] ] : a continuing challenge for global financial markets / / Jon Gregory
Autore Gregory Jon, Ph. D.
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, NJ, : Wiley, 2012
Descrizione fisica 1 online resource (481 p.)
Disciplina 332.64/57
Altri autori (Persone) GregoryJon, Ph. D.
Collana The Wiley Finance Series
Soggetto topico Derivative securities - Mathematical models
Risk management
ISBN 1-118-67363-8
1-283-60383-7
9786613916280
1-118-31665-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Counterparty Credit Risk and Credit Value Adjustment: A Continuing Challenge for Global Financial Markets; Contents; Acknowledgements; List of Spreadsheets; List of Appendices; SECTION I: INTRODUCTION; 1 Introduction; 2 Background; 2.1 Introduction; 2.2 Financial risk; 2.2.1 Market risk; 2.2.2 Credit risk; 2.2.3 Liquidity risk; 2.2.4 Operational risk; 2.2.5 Integration of risk types; 2.3 Value-at-Risk; 2.3.1 Definition; 2.3.2 The dangers of VAR; 2.3.3 Models; 2.3.4 Correlation and dependency; 2.4 The derivatives market; 2.4.1 Uses of derivatives; 2.4.2 Exchange-traded and OTC derivatives
2.4.3 Risks of derivatives2.4.4 Too big to fail and systemic risk; 2.4.5 Credit derivatives; 2.5 Counterparty risk in context; 2.5.1 The rise of counterparty risk; 2.5.2 Counterparty risk and CVA; 2.5.3 Mitigating counterparty risk; 2.5.4 Counterparty risk and central clearing; 2.6 Summary; 3 Defining Counterparty Credit Risk; 3.1 Introducing counterparty credit risk; 3.1.1 Counterparty risk versus lending risk; 3.1.2 Settlement and pre-settlement risk; 3.1.3 Exchange-traded derivatives; 3.1.4 OTC-traded derivatives; 3.1.5 Repos and securities lending; 3.1.6 Mitigating counterparty risk
3.1.7 Counterparty risk players3.2 Components and terminology; 3.2.1 Credit exposure; 3.2.2 Default probability, credit migration and credit spreads; 3.2.3 Recovery and loss given default; 3.2.4 Mark-to-market and replacement cost; 3.2.5 Mitigating counterparty risk; 3.3 Control and quantification; 3.3.1 Credit limits; 3.3.2 Credit value adjustment; 3.3.3 CVA or credit limits?; 3.3.4 What does CVA represent?; 3.3.5 Hedging counterparty risk; 3.3.6 Portfolio counterparty risk; 3.4 Summary; SECTION II: MITIGATION OF COUNTERPARTY CREDIT RISK
4 Netting, Compression, Resets and Termination Features4.1 Introduction; 4.1.1 The origins of counterparty risk; 4.1.2 The ISDA master agreement; 4.2 Netting; 4.2.1 Payment netting; 4.2.2 The need for closeout netting; 4.2.3 Closeout netting; 4.2.4 Netting sets and subadditivity; 4.2.5 The impact of netting; 4.2.6 Product coverage; 4.3 Termination features and trade compression; 4.3.1 Reset agreements; 4.3.2 Additional termination events; 4.3.3 Walkaway features; 4.3.4 Trade compression and multilateral netting; 4.4 Conclusion; 5 Collateral; 5.1 Introduction; 5.1.1 Rationale for collateral
5.1.2 Analogy with mortgages5.1.3 The basics of collateralisation; 5.1.4 Collateral usage; 5.1.5 The credit support annex; 5.1.6 Impact of collateral; 5.2 Collateral terms; 5.2.1 Valuation agent; 5.2.2 Types of collateral; 5.2.3 Coverage of collateralisation; 5.2.4 Disputes and reconciliations; 5.2.5 Margin call frequency; 5.2.6 Haircuts; 5.2.7 Coupons and interest payments; 5.2.8 Substitution, funding costs and rehypothecation; 5.3 Defining the amount of collateral; 5.3.1 Types of CSA; 5.3.2 Linkage of collateral parameters to credit quality; 5.3.3 Threshold; 5.3.4 Independent amount
5.3.5 Minimum transfer amount and rounding
Record Nr. UNINA-9910141391303321
Gregory Jon, Ph. D.  
Hoboken, NJ, : Wiley, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Counterparty credit risk and credit value adjustment : a continuing challenge for global financial markets / / Jon Gregory
Counterparty credit risk and credit value adjustment : a continuing challenge for global financial markets / / Jon Gregory
Autore Gregory Jon, Ph. D.
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, NJ, : Wiley, 2012
Descrizione fisica 1 online resource (481 p.)
Disciplina 332.64/57
Altri autori (Persone) GregoryJon, Ph. D.
Collana The Wiley Finance Series
Soggetto topico Derivative securities - Mathematical models
Risk management
ISBN 1-118-67363-8
1-283-60383-7
9786613916280
1-118-31665-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Counterparty Credit Risk and Credit Value Adjustment: A Continuing Challenge for Global Financial Markets; Contents; Acknowledgements; List of Spreadsheets; List of Appendices; SECTION I: INTRODUCTION; 1 Introduction; 2 Background; 2.1 Introduction; 2.2 Financial risk; 2.2.1 Market risk; 2.2.2 Credit risk; 2.2.3 Liquidity risk; 2.2.4 Operational risk; 2.2.5 Integration of risk types; 2.3 Value-at-Risk; 2.3.1 Definition; 2.3.2 The dangers of VAR; 2.3.3 Models; 2.3.4 Correlation and dependency; 2.4 The derivatives market; 2.4.1 Uses of derivatives; 2.4.2 Exchange-traded and OTC derivatives
2.4.3 Risks of derivatives2.4.4 Too big to fail and systemic risk; 2.4.5 Credit derivatives; 2.5 Counterparty risk in context; 2.5.1 The rise of counterparty risk; 2.5.2 Counterparty risk and CVA; 2.5.3 Mitigating counterparty risk; 2.5.4 Counterparty risk and central clearing; 2.6 Summary; 3 Defining Counterparty Credit Risk; 3.1 Introducing counterparty credit risk; 3.1.1 Counterparty risk versus lending risk; 3.1.2 Settlement and pre-settlement risk; 3.1.3 Exchange-traded derivatives; 3.1.4 OTC-traded derivatives; 3.1.5 Repos and securities lending; 3.1.6 Mitigating counterparty risk
3.1.7 Counterparty risk players3.2 Components and terminology; 3.2.1 Credit exposure; 3.2.2 Default probability, credit migration and credit spreads; 3.2.3 Recovery and loss given default; 3.2.4 Mark-to-market and replacement cost; 3.2.5 Mitigating counterparty risk; 3.3 Control and quantification; 3.3.1 Credit limits; 3.3.2 Credit value adjustment; 3.3.3 CVA or credit limits?; 3.3.4 What does CVA represent?; 3.3.5 Hedging counterparty risk; 3.3.6 Portfolio counterparty risk; 3.4 Summary; SECTION II: MITIGATION OF COUNTERPARTY CREDIT RISK
4 Netting, Compression, Resets and Termination Features4.1 Introduction; 4.1.1 The origins of counterparty risk; 4.1.2 The ISDA master agreement; 4.2 Netting; 4.2.1 Payment netting; 4.2.2 The need for closeout netting; 4.2.3 Closeout netting; 4.2.4 Netting sets and subadditivity; 4.2.5 The impact of netting; 4.2.6 Product coverage; 4.3 Termination features and trade compression; 4.3.1 Reset agreements; 4.3.2 Additional termination events; 4.3.3 Walkaway features; 4.3.4 Trade compression and multilateral netting; 4.4 Conclusion; 5 Collateral; 5.1 Introduction; 5.1.1 Rationale for collateral
5.1.2 Analogy with mortgages5.1.3 The basics of collateralisation; 5.1.4 Collateral usage; 5.1.5 The credit support annex; 5.1.6 Impact of collateral; 5.2 Collateral terms; 5.2.1 Valuation agent; 5.2.2 Types of collateral; 5.2.3 Coverage of collateralisation; 5.2.4 Disputes and reconciliations; 5.2.5 Margin call frequency; 5.2.6 Haircuts; 5.2.7 Coupons and interest payments; 5.2.8 Substitution, funding costs and rehypothecation; 5.3 Defining the amount of collateral; 5.3.1 Types of CSA; 5.3.2 Linkage of collateral parameters to credit quality; 5.3.3 Threshold; 5.3.4 Independent amount
5.3.5 Minimum transfer amount and rounding
Record Nr. UNINA-9910828065203321
Gregory Jon, Ph. D.  
Hoboken, NJ, : Wiley, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Credit correlation [[electronic resource] ] : life after copulas / / editors, Alexander Lipton, Andrew Rennie
Credit correlation [[electronic resource] ] : life after copulas / / editors, Alexander Lipton, Andrew Rennie
Pubbl/distr/stampa New Jersey, : World Scientific, c2008
Descrizione fisica 1 online resource (178 p.)
Disciplina 332.64/57
Altri autori (Persone) LiptonAlexander
RennieAndrew <1968->
Soggetto topico Credit derivatives
Soggetto genere / forma Electronic books.
ISBN 1-281-91882-2
9786611918828
981-270-950-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; Introduction; Levy Simple Structural Models M. Baxter; 1. Introduction; 2. Levy Processes; 3. Credit Models for Single Names; 3.1. Example: Term structure of a single credit; 3.2. Extensions; 4. Portfolio Credit Models; 5. Calibration and Model Comparison; 6. Parameter Risks and Hedging; 6.1. Case study: Auto crisis May 2005; 7. Implementation and Other Products; 7.1. Calculating the distribution function; 7.2. Performing the optimization; 7.3. Other products; 8. Summary and Conclusions; References
Cluster-Based Extension of the Generalized Poisson Loss Dynamics and Consistency with Single Names D. Brigo, A. Pallavicini and R. Torresetti 1. Introduction; 2. Modeling Framework and the CPS Approach; 3. Avoiding Repeated Defaults; 3.1. Default-counting adjustment: GPL model (Strategy 0); 3.2. Single-name adjusted approach (Strategy 1); 3.3. GPCL model: Cluster-adjusted approach (Strategy 2); 3.4. Comparing models in a simplified scenario; 4. The GPCL Model Calibration; 4.1. Calibration results; 5. Extensions: Spread and Recovery Dynamics; 6. Conclusions; Acknowledgements; References
Appendix A. Market Quotes Appendix B. Calibration Inputs and Outputs; Stochastic Intensity Modeling for Structured Credit Exotics A. Chapovsky, A. Rennie and P. Tavares; 1. Introduction; 2. Model Setup; 2.1. Motivation; 2.2. Single credit dynamics; 2.3. Multiple credit dynamics; 2.4. Factorization of intensity dynamics; 2.5. Note on credit correlation; 3. Model Parametrization and Calibration; 3.1. Jump-only process; 3.2. Jump-CIR process; 3.3. Non-linear jump-diffusion process; 3.4. Idiosyncratic intensity dynamics; 4. Application to Structured Credit Exotics
4.1. Approximating model dynamics 4.2. Pricing of derivatives; 4.2.1. Vanilla tranches; 4.2.2. European option on tranche; 4.2.3. Leveraged tranche; 4.2.4. Tranche with counterparty risk; 5. Conclusions; Acknowledgments; References; Large Portfolio Credit Risk Modeling M. H. A. Davis and J. C. Esparragoza-Rodriguez; 1. Introduction; 2. Model Description; 2.1. Formal definition of the model; 3. Fluid and Diffusion Limits; 4. Convergence Results for the Rating Distribution Process; 4.1. The fiuid limit; 4.2. The diffusion limit
4.3. The infinitesimal generator of the single-obligor process and the probability of default 5. Computational Aspects: Quadratures; 5.1. CDO pricing; 5.2. Changes of measure, the Poisson space and Quadrature formulas; 5.2.1. The canonical space of a Poisson process; 5.2.2. Gaussian quadratures; 5.3. Some comparisons; 6. Calibration; 6.1. A 3-state environment process; 6.1.1. Implementation; 7. Conclusions; References; Empirical Copulas for CDO Tranche Pricing Using Relative Entropy M. A. H. Dempster, E. A. Medova and S. W. Yang; 1. Introduction
1.1. Correlated intensities in portfolio credit risk modeling
Record Nr. UNINA-9910451487003321
New Jersey, : World Scientific, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Credit correlation [[electronic resource] ] : life after copulas / / editors, Alexander Lipton, Andrew Rennie
Credit correlation [[electronic resource] ] : life after copulas / / editors, Alexander Lipton, Andrew Rennie
Pubbl/distr/stampa New Jersey, : World Scientific, c2008
Descrizione fisica 1 online resource (178 p.)
Disciplina 332.64/57
Altri autori (Persone) LiptonAlexander
RennieAndrew <1968->
Soggetto topico Credit derivatives
ISBN 1-281-91882-2
9786611918828
981-270-950-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; Introduction; Levy Simple Structural Models M. Baxter; 1. Introduction; 2. Levy Processes; 3. Credit Models for Single Names; 3.1. Example: Term structure of a single credit; 3.2. Extensions; 4. Portfolio Credit Models; 5. Calibration and Model Comparison; 6. Parameter Risks and Hedging; 6.1. Case study: Auto crisis May 2005; 7. Implementation and Other Products; 7.1. Calculating the distribution function; 7.2. Performing the optimization; 7.3. Other products; 8. Summary and Conclusions; References
Cluster-Based Extension of the Generalized Poisson Loss Dynamics and Consistency with Single Names D. Brigo, A. Pallavicini and R. Torresetti 1. Introduction; 2. Modeling Framework and the CPS Approach; 3. Avoiding Repeated Defaults; 3.1. Default-counting adjustment: GPL model (Strategy 0); 3.2. Single-name adjusted approach (Strategy 1); 3.3. GPCL model: Cluster-adjusted approach (Strategy 2); 3.4. Comparing models in a simplified scenario; 4. The GPCL Model Calibration; 4.1. Calibration results; 5. Extensions: Spread and Recovery Dynamics; 6. Conclusions; Acknowledgements; References
Appendix A. Market Quotes Appendix B. Calibration Inputs and Outputs; Stochastic Intensity Modeling for Structured Credit Exotics A. Chapovsky, A. Rennie and P. Tavares; 1. Introduction; 2. Model Setup; 2.1. Motivation; 2.2. Single credit dynamics; 2.3. Multiple credit dynamics; 2.4. Factorization of intensity dynamics; 2.5. Note on credit correlation; 3. Model Parametrization and Calibration; 3.1. Jump-only process; 3.2. Jump-CIR process; 3.3. Non-linear jump-diffusion process; 3.4. Idiosyncratic intensity dynamics; 4. Application to Structured Credit Exotics
4.1. Approximating model dynamics 4.2. Pricing of derivatives; 4.2.1. Vanilla tranches; 4.2.2. European option on tranche; 4.2.3. Leveraged tranche; 4.2.4. Tranche with counterparty risk; 5. Conclusions; Acknowledgments; References; Large Portfolio Credit Risk Modeling M. H. A. Davis and J. C. Esparragoza-Rodriguez; 1. Introduction; 2. Model Description; 2.1. Formal definition of the model; 3. Fluid and Diffusion Limits; 4. Convergence Results for the Rating Distribution Process; 4.1. The fiuid limit; 4.2. The diffusion limit
4.3. The infinitesimal generator of the single-obligor process and the probability of default 5. Computational Aspects: Quadratures; 5.1. CDO pricing; 5.2. Changes of measure, the Poisson space and Quadrature formulas; 5.2.1. The canonical space of a Poisson process; 5.2.2. Gaussian quadratures; 5.3. Some comparisons; 6. Calibration; 6.1. A 3-state environment process; 6.1.1. Implementation; 7. Conclusions; References; Empirical Copulas for CDO Tranche Pricing Using Relative Entropy M. A. H. Dempster, E. A. Medova and S. W. Yang; 1. Introduction
1.1. Correlated intensities in portfolio credit risk modeling
Record Nr. UNINA-9910784972103321
New Jersey, : World Scientific, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Credit correlation : life after copulas / / editors, Alexander Lipton, Andrew Rennie
Credit correlation : life after copulas / / editors, Alexander Lipton, Andrew Rennie
Edizione [1st ed.]
Pubbl/distr/stampa New Jersey, : World Scientific, c2008
Descrizione fisica 1 online resource (178 p.)
Disciplina 332.64/57
Altri autori (Persone) LiptonAlexander
RennieAndrew <1968->
Soggetto topico Credit derivatives
ISBN 1-281-91882-2
9786611918828
981-270-950-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; Introduction; Levy Simple Structural Models M. Baxter; 1. Introduction; 2. Levy Processes; 3. Credit Models for Single Names; 3.1. Example: Term structure of a single credit; 3.2. Extensions; 4. Portfolio Credit Models; 5. Calibration and Model Comparison; 6. Parameter Risks and Hedging; 6.1. Case study: Auto crisis May 2005; 7. Implementation and Other Products; 7.1. Calculating the distribution function; 7.2. Performing the optimization; 7.3. Other products; 8. Summary and Conclusions; References
Cluster-Based Extension of the Generalized Poisson Loss Dynamics and Consistency with Single Names D. Brigo, A. Pallavicini and R. Torresetti 1. Introduction; 2. Modeling Framework and the CPS Approach; 3. Avoiding Repeated Defaults; 3.1. Default-counting adjustment: GPL model (Strategy 0); 3.2. Single-name adjusted approach (Strategy 1); 3.3. GPCL model: Cluster-adjusted approach (Strategy 2); 3.4. Comparing models in a simplified scenario; 4. The GPCL Model Calibration; 4.1. Calibration results; 5. Extensions: Spread and Recovery Dynamics; 6. Conclusions; Acknowledgements; References
Appendix A. Market Quotes Appendix B. Calibration Inputs and Outputs; Stochastic Intensity Modeling for Structured Credit Exotics A. Chapovsky, A. Rennie and P. Tavares; 1. Introduction; 2. Model Setup; 2.1. Motivation; 2.2. Single credit dynamics; 2.3. Multiple credit dynamics; 2.4. Factorization of intensity dynamics; 2.5. Note on credit correlation; 3. Model Parametrization and Calibration; 3.1. Jump-only process; 3.2. Jump-CIR process; 3.3. Non-linear jump-diffusion process; 3.4. Idiosyncratic intensity dynamics; 4. Application to Structured Credit Exotics
4.1. Approximating model dynamics 4.2. Pricing of derivatives; 4.2.1. Vanilla tranches; 4.2.2. European option on tranche; 4.2.3. Leveraged tranche; 4.2.4. Tranche with counterparty risk; 5. Conclusions; Acknowledgments; References; Large Portfolio Credit Risk Modeling M. H. A. Davis and J. C. Esparragoza-Rodriguez; 1. Introduction; 2. Model Description; 2.1. Formal definition of the model; 3. Fluid and Diffusion Limits; 4. Convergence Results for the Rating Distribution Process; 4.1. The fiuid limit; 4.2. The diffusion limit
4.3. The infinitesimal generator of the single-obligor process and the probability of default 5. Computational Aspects: Quadratures; 5.1. CDO pricing; 5.2. Changes of measure, the Poisson space and Quadrature formulas; 5.2.1. The canonical space of a Poisson process; 5.2.2. Gaussian quadratures; 5.3. Some comparisons; 6. Calibration; 6.1. A 3-state environment process; 6.1.1. Implementation; 7. Conclusions; References; Empirical Copulas for CDO Tranche Pricing Using Relative Entropy M. A. H. Dempster, E. A. Medova and S. W. Yang; 1. Introduction
1.1. Correlated intensities in portfolio credit risk modeling
Record Nr. UNINA-9910815701703321
New Jersey, : World Scientific, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui