The Heston model and its extensions in Matlab and C#
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The Heston model and its extensions in Matlab and C#
（Wiley finance series）
John Wiley & Sons, c2013
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"+website"--Cover
Bibliography: p. 383-389
Includes index
内容説明・目次
内容説明
Tap into the power of the most popular stochastic volatility model for pricing equity derivatives Since its introduction in 1993, the Heston model has become a popular model for pricing equity derivatives, and the most popular stochastic volatility model in financial engineering. This vital resource provides a thorough derivation of the original model, and includes the most important extensions and refinements that have allowed the model to produce option prices that are more accurate and volatility surfaces that better reflect market conditions. The book's material is drawn from research papers and many of the models covered and the computer codes are unavailable from other sources.
The book is light on theory and instead highlights the implementation of the models. All of the models found here have been coded in Matlab and C#. This reliable resource offers an understanding of how the original model was derived from Ricatti equations, and shows how to implement implied and local volatility, Fourier methods applied to the model, numerical integration schemes, parameter estimation, simulation schemes, American options, the Heston model with time-dependent parameters, finite difference methods for the Heston PDE, the Greeks, and the double Heston model.
A groundbreaking book dedicated to the exploration of the Heston model-a popular model for pricing equity derivatives
Includes a companion website, which explores the Heston model and its extensions all coded in Matlab and C#
Written by Fabrice Douglas Rouah a quantitative analyst who specializes in financial modeling for derivatives for pricing and risk management
Engaging and informative, this is the first book to deal exclusively with the Heston Model and includes code in Matlab and C# for pricing under the model, as well as code for parameter estimation, simulation, finite difference methods, American options, and more.
目次
Foreword ix
Preface xi
Acknowledgments xiii
CHAPTER 1 The Heston Model for European Options 1
Model Dynamics 1
The European Call Price 4
The Heston PDE 5
Obtaining the Heston Characteristic Functions 10
Solving the Heston Riccati Equation 12
Dividend Yield and the Put Price 17
Consolidating the Integrals 18
Black-Scholes as a Special Case 19
Summary of the Call Price 22
Conclusion 23
CHAPTER 2 Integration Issues, Parameter Effects, and Variance Modeling 25
Remarks on the Characteristic Functions 25
Problems With the Integrand 29
The Little Heston Trap 31
Effect of the Heston Parameters 34
Variance Modeling in the Heston Model 43
Moment Explosions 56
Bounds on Implied Volatility Slope 57
Conclusion 61
CHAPTER 3 Derivations Using the Fourier Transform 63
The Fourier Transform 63
Recovery of Probabilities With Gil-Pelaez Fourier Inversion 65
Derivation of Gatheral (2006) 67
Attari (2004) Representation 69
Carr and Madan (1999) Representation 73
Bounds on the Carr-Madan Damping Factor and Optimal Value 76
The Carr-Madan Representation for Puts 82
The Representation for OTM Options 84
Conclusion 89
CHAPTER 4 The Fundamental Transform for Pricing Options 91
The Payoff Transform 91
The Fundamental Transform and the Option Price 92
The Fundamental Transform for the Heston Model 95
Option Prices Using Parseval's Identity 100
Volatility of Volatility Series Expansion 108
Conclusion 113
CHAPTER 5 Numerical Integration Schemes 115
The Integrand in Numerical Integration 116
Newton-Cotes Formulas 116
Gaussian Quadrature 121
Integration Limits and Kahl and J ackel Transformation 130
Illustration of Numerical Integration 136
Fast Fourier Transform 137
Fractional Fast Fourier Transform 141
Conclusion 145
CHAPTER 6 Parameter Estimation 147
Estimation Using Loss Functions 147
Speeding up the Estimation 158
Differential Evolution 162
Maximum Likelihood Estimation 166
Risk-Neutral Density and Arbitrage-Free Volatility Surface 170
Conclusion 175
CHAPTER 7 Simulation in the Heston Model 177
General Setup 177
Euler Scheme 179
Milstein Scheme 181
Milstein Scheme for the Heston Model 183
Implicit Milstein Scheme 185
Transformed Volatility Scheme 188
Balanced, Pathwise, and IJK Schemes 191
Quadratic-Exponential Scheme 193
Alfonsi Scheme for the Variance 198
Moment Matching Scheme 201
Conclusion 202
CHAPTER 8 American Options 205
Least-Squares Monte Carlo 205
The Explicit Method 213
Beliaeva-Nawalkha Bivariate Tree 217
Medvedev-Scaillet Expansion 228
Chiarella and Ziogas American Call 253
Conclusion 261
CHAPTER 9 Time-Dependent Heston Models 263
Generalization of the Riccati Equation 263
Bivariate Characteristic Function 264
Linking the Bivariate CF and the General Riccati Equation 269
Mikhailov and No gel Model 271
Elices Model 278
Benhamou-Miri-Gobet Model 285
Black-Scholes Derivatives 299
Conclusion 300
CHAPTER 10 Methods for Finite Differences 301
The PDE in Terms of an Operator 301
Building Grids 302
Finite Difference Approximation of Derivatives 303
The Weighted Method 306
Boundary Conditions for the PDE 315
Explicit Scheme 316
ADI Schemes 321
Conclusion 325
CHAPTER 11 The Heston Greeks 327
Analytic Expressions for European Greeks 327
Finite Differences for the Greeks 332
Numerical Implementation of the Greeks 333
Greeks Under the Attari and Carr-Madan Formulations 339
Greeks Under the Lewis Formulations 343
Greeks Using the FFT and FRFT 345
American Greeks Using Simulation 346
American Greeks Using the Explicit Method 349
American Greeks from Medvedev and Scaillet 352
Conclusion 354
CHAPTER 12 The Double Heston Model 357
Multi-Dimensional Feynman-KAC Theorem 357
Double Heston Call Price 358
Double Heston Greeks 363
Parameter Estimation 368
Simulation in the Double Heston Model 373
American Options in the Double Heston Model 380
Conclusion 382
Bibliography 383
About the Website 391
Index 397
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