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The Heston model and its extensions in VBA / Fabrice Douglas Rouah.

By: Material type: TextTextSeries: Wiley financePublication details: Hoboken, New Jersey : John Wiley & Sons, Inc., 2015.Description: xxiii, 322 p. : ill. ; 24 cmISBN:
  • 9781119003304 (pbk.)
  • 111900330X (pbk.)
Subject(s): DDC classification:
  • 22 332.645302855133 ROU
Contents:
VBA Library for Complex Numbers -- Chapter 1: The Heston Model for European Options: Model Dynamics -- The Heston European Call Price -- Dividend Yield and the Put Price -- Consolidating the Integrals -- Black-Scholes as a Special Case -- Conclusion -- Chapter 2: Integration Issues, Parameter Effects, and Variance Modeling: Remarks on the Characteristic Functions -- Problems With the Integrand -- The Little Heston Trap -- Effect of the Heston Parameters -- Variance Modeling in the Heston Model -- Moment Explosions -- Bounds on Implied Volatility Slope -- Conclusion -- Chapter 3: Derivations Using the Fourier Transform: Derivation of Gatheral (2006) -- Attari (2004) Representation -- Carr and Madan (1999) Representation -- Conclusion -- Chapter 4: The Fundamental Transform for Pricing Options: The Payoff Transform -- Option Prices Using Parseval's Identity -- Volatility of Volatility Series Expansion -- Conclusion -- Chapter 5: Numerical Integration Schemes: The Integrand in Numerical Integration: Newton-Cotes Formulas -- Gaussian Quadrature -- Integration Limits, Multi-Domain Integration, and Kahl and Jackel Transformation -- Illustration of Numerical Integration -- Fast Fourier Transform -- Fractional Fast Fourier Transform -- Conclusion -- Chapter 6: Parameter Estimation: Estimation Using Loss Functions -- Speeding up the Estimation -- Differential Evolution -- Maximum Likelihood Estimation -- Risk-Neutral Density and Arbitrage-Free Volatility Surface -- Conclusion -- Chapter 7: Simulation in the Heston Model: General Setup -- Euler Scheme -- Milstein Scheme -- Implicit Milstein Scheme -- Transformed Volatility Scheme -- Balanced, Pathwise, and IJK Schemes -- Quadratic-Exponential Scheme -- Alfonsi Scheme for the Variance -- Moment Matching Scheme -- Conclusion -- Chapter 8: American Options: Least-Squares Monte Carlo -- The Explicit Method -- Beliaeva-Nawalkha Bivariate Tree -- Medvedev-Scaillet Expansion -- Chiarella and Ziogas American Call -- Conclusion -- Chapter 9: Time-Dependent Heston Models: Generalization of the Riccati Equation -- Bivariate Characteristic Function -- Linking the Bivariate CF and the General Riccati Equation -- Mikhailov and Nogel Model -- Elices Model -- Benhamou-Miri-Gobet Model -- Black-Scholes Derivatives -- Conclusion -- Chapter 10: Methods for Finite Differences: The PDE in Terms of an Operator -- Building Grids -- Finite Difference Approximation of Derivatives -- Boundary Conditions for the PDE -- The Weighted Method -- Explicit Scheme -- ADI Schemes -- Conclusion -- Chapter 11: The Heston Greeks: Analytic Expressions for European Greeks -- Finite Differences for the Greeks -- Numerical Implementation of the Greeks -- Greeks Under the Attari and Carr-Madan Formulations -- Greeks Under the Lewis Formulations -- Greeks Using the FFT and FRFT -- American Greeks Using Simulation -- American Greeks Using the Explicit Method -- American Greeks from Medvedev and Scaillet -- Conclusion -- Chapter 12: The Double Heston Model: Multi-Dimensional Feynman-Kac Theorem -- Double Heston Call Price -- Double Heston Greeks -- Parameter Estimation -- Simulation in the Double Heston Model -- American Options in the Double Heston Model -- Conclusion.
Summary: "Practical options pricing for better-informed investment decisions.The Heston Model and Its Extensions in VBA is the definitive guide to options pricing using two of the derivatives industry's most powerful modeling tools--the Heston model, and VBA. Light on theory, this extremely useful reference focuses on implementation, and can help investors more efficiently--and accurately--exploit market information to better inform investment decisions. Coverage includes a description of the Heston model, with specific emphasis on equity options pricing and variance modeling, The book focuses not only on the original Heston model, but also on the many enhancements and refinements that have been applied to the model, including methods that use the Fourier transform, numerical integration schemes, simulation, methods for pricing American options, and much more. The companion website offers pricing code in VBA that resides in an extensive set of Excel spreadsheets.The Heston model is the derivatives industry's most popular stochastic volatility model for pricing equity derivatives. This book provides complete guidance toward the successful implementation of this valuable model using the industry's ubiquitous financial modeling software, giving users the understanding--and VBA code--they need to produce option prices that are more accurate, and volatility surfaces that more closely reflect market conditions.Derivatives pricing is often the hinge on which profit is made or lost in financial institutions, making accuracy of utmost importance. This book will help risk managers, traders, portfolio managers, quants, academics and other professionals better understand the Heston model and its extensions, in a writing style that is clear, concise, transparent and easy to understand. For better pricing accuracy, The Heston Model and Its Extensions in VBA is a crucial resource for producing more accurate model outputs such as prices, hedge ratios, volatilities, and graphs"--
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Holdings
Item type Current library Collection Call number Vol info Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library First floor Academic Bookshop 332.645302855133 ROU (Browse shelf(Opens below)) 9154 Available 000033454
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Title on cover : The Heston model and its extensions in VBA + website.

Index : p. 319-322.

Bibliography : p. 309-315.

VBA Library for Complex Numbers -- Chapter 1: The Heston Model for European Options: Model Dynamics -- The Heston European Call Price -- Dividend Yield and the Put Price -- Consolidating the Integrals -- Black-Scholes as a Special Case -- Conclusion -- Chapter 2: Integration Issues, Parameter Effects, and Variance Modeling: Remarks on the Characteristic Functions -- Problems With the Integrand -- The Little Heston Trap -- Effect of the Heston Parameters -- Variance Modeling in the Heston Model -- Moment Explosions -- Bounds on Implied Volatility Slope -- Conclusion -- Chapter 3: Derivations Using the Fourier Transform: Derivation of Gatheral (2006) -- Attari (2004) Representation -- Carr and Madan (1999) Representation -- Conclusion -- Chapter 4: The Fundamental Transform for Pricing Options: The Payoff Transform -- Option Prices Using Parseval's Identity -- Volatility of Volatility Series Expansion -- Conclusion -- Chapter 5: Numerical Integration Schemes: The Integrand in Numerical Integration: Newton-Cotes Formulas -- Gaussian Quadrature -- Integration Limits, Multi-Domain Integration, and Kahl and Jackel Transformation -- Illustration of Numerical Integration -- Fast Fourier Transform -- Fractional Fast Fourier Transform -- Conclusion -- Chapter 6: Parameter Estimation: Estimation Using Loss Functions -- Speeding up the Estimation -- Differential Evolution -- Maximum Likelihood Estimation -- Risk-Neutral Density and Arbitrage-Free Volatility Surface -- Conclusion -- Chapter 7: Simulation in the Heston Model: General Setup -- Euler Scheme -- Milstein Scheme -- Implicit Milstein Scheme -- Transformed Volatility Scheme -- Balanced, Pathwise, and IJK Schemes -- Quadratic-Exponential Scheme -- Alfonsi Scheme for the Variance -- Moment Matching Scheme -- Conclusion -- Chapter 8: American Options: Least-Squares Monte Carlo -- The Explicit Method -- Beliaeva-Nawalkha Bivariate Tree -- Medvedev-Scaillet Expansion -- Chiarella and Ziogas American Call -- Conclusion -- Chapter 9: Time-Dependent Heston Models: Generalization of the Riccati Equation -- Bivariate Characteristic Function -- Linking the Bivariate CF and the General Riccati Equation -- Mikhailov and Nogel Model -- Elices Model -- Benhamou-Miri-Gobet Model -- Black-Scholes Derivatives -- Conclusion -- Chapter 10: Methods for Finite Differences: The PDE in Terms of an Operator -- Building Grids -- Finite Difference Approximation of Derivatives -- Boundary Conditions for the PDE -- The Weighted Method -- Explicit Scheme -- ADI Schemes -- Conclusion -- Chapter 11: The Heston Greeks: Analytic Expressions for European Greeks -- Finite Differences for the Greeks -- Numerical Implementation of the Greeks -- Greeks Under the Attari and Carr-Madan Formulations -- Greeks Under the Lewis Formulations -- Greeks Using the FFT and FRFT -- American Greeks Using Simulation -- American Greeks Using the Explicit Method -- American Greeks from Medvedev and Scaillet -- Conclusion -- Chapter 12: The Double Heston Model: Multi-Dimensional Feynman-Kac Theorem -- Double Heston Call Price -- Double Heston Greeks -- Parameter Estimation -- Simulation in the Double Heston Model -- American Options in the Double Heston Model -- Conclusion.

"Practical options pricing for better-informed investment decisions.The Heston Model and Its Extensions in VBA is the definitive guide to options pricing using two of the derivatives industry's most powerful modeling tools--the Heston model, and VBA. Light on theory, this extremely useful reference focuses on implementation, and can help investors more efficiently--and accurately--exploit market information to better inform investment decisions. Coverage includes a description of the Heston model, with specific emphasis on equity options pricing and variance modeling, The book focuses not only on the original Heston model, but also on the many enhancements and refinements that have been applied to the model, including methods that use the Fourier transform, numerical integration schemes, simulation, methods for pricing American options, and much more. The companion website offers pricing code in VBA that resides in an extensive set of Excel spreadsheets.The Heston model is the derivatives industry's most popular stochastic volatility model for pricing equity derivatives. This book provides complete guidance toward the successful implementation of this valuable model using the industry's ubiquitous financial modeling software, giving users the understanding--and VBA code--they need to produce option prices that are more accurate, and volatility surfaces that more closely reflect market conditions.Derivatives pricing is often the hinge on which profit is made or lost in financial institutions, making accuracy of utmost importance. This book will help risk managers, traders, portfolio managers, quants, academics and other professionals better understand the Heston model and its extensions, in a writing style that is clear, concise, transparent and easy to understand. For better pricing accuracy, The Heston Model and Its Extensions in VBA is a crucial resource for producing more accurate model outputs such as prices, hedge ratios, volatilities, and graphs"--

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