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Inside volatility filtering : the secrets of skewness /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Javaheri, Alireza
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, Inc., [2015]
Edición:Second edition.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Inside volatility filtering :  |b the secrets of skewness /  |c Alireza Javaheri. 
250 |a Second edition. 
264 1 |a Hoboken, New Jersey :  |b John Wiley & Sons, Inc.,  |c [2015] 
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500 |a Earlier edition published as: Inside volatility arbitrage : the secrets of skewness. 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record and CIP data provided by publisher. 
505 0 |a Cover; Title Page; Copyright; Contents; Foreword; Acknowledgments (Second Edition); Acknowledgments (First Edition); Introduction (Second Edition); Introduction (First Edition); Summary; Contributions and Further Research; Data and Programs; Chapter 1 The Volatility Problem; Introduction; The Stock Market; The Stock Price Process; Historic Volatility; The Derivatives Market; The Black-Scholes Approach; The Cox Ross Rubinstein Approach; Jump Diffusion and Level-Dependent Volatility; Jump Diffusion; Level-Dependent Volatility; Local Volatility; The Dupire Approach; The Derman Kani Approach. 
505 8 |a Stability Issues; Calibration Frequency; Stochastic Volatility; Stochastic Volatility Processes; GARCH and Diffusion Limits; The Pricing PDE under Stochastic Volatility; The Market Price of Volatility Risk; The Two-Factor PDE; The Generalized Fourier Transform; The Transform Technique; Special Cases; The Mixing Solution; The Romano Touzi Approach; A One-Factor Monte-Carlo Technique; The Long-Term Asymptotic Case; The Deterministic Case; The Stochastic Case; A Series Expansion on Volatility-of-Volatility; Local Volatility Stochastic Volatility Models; Stochastic Implied Volatility. 
505 8 |a Joint SPX and VIX Dynamics; Pure-Jump Models; Variance Gamma; Variance Gamma with Stochastic Arrival; Variance Gamma with Gamma Arrival Rate; Chapter 2 The Inference Problem; Introduction; Using Option Prices; Conjugate Gradient (Fletcher-Reeves-Polak-Ribiere) Method; Levenberg-Marquardt (LM) Method; Direction Set (Powell) Method; Numeric Tests; The Distribution of the Errors; Using Stock Prices; The Likelihood Function; Filtering; The Simple and Extended Kalman Filters; The Unscented Kalman Filter; Kushner's Nonlinear Filter; Parameter Learning; Parameter Estimation via MLE; Diagnostics. 
505 8 |a Particle Filtering; Comparing Heston with Other Models; The Performance of the Inference Tools; The Bayesian Approach; Using the Characteristic Function; Introducing Jumps; Pure-Jump Models; Recapitulation; Model Identification; Convergence Issues and Solutions; Chapter 3 The Consistency Problem; Introduction; The Consistency Test; The Setting; The Cross-Sectional Results; Time-Series Results; Financial Interpretation; The ""Peso'' Theory; Background; Numeric Results; Trading Strategies; Skewness Trades; Kurtosis Trades; Directional Risks; An Exact Replication; The Mirror Trades. 
505 8 |a An Example of the Skewness Trade; Multiple Trades; High Volatility-of-Volatility and High Correlation; Non-Gaussian Case; VGSA; A Word of Caution; Foreign Exchange, Fixed Income, and Other Markets; Foreign Exchange; Fixed Income; Chapter 4 The Quality Problem; Introduction; An Exact Solution?; Nonlinear Filtering; Stochastic PDE; Wiener Chaos Expansion; First-Order WCE; Simulations; Second-Order WCE; Quality of Observations; Historic Spot Prices; Historic Option Prices; Conclusion; Bibliography; Index; EULA. 
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