Extent:
1 online resource (922 pages)
Series:
Type of publication: Book / Working Paper
Language: English
Notes:
Description based on publisher supplied metadata and other sources.
Modeling Derivatives in C++; Contents; Preface; Acknowledgments; CHAPTER 1 Black-Scholes and Pricing Fundamentals; 1.1 Forward Contracts; 1.2 Black-Scholes Partial Differential Equation; 1.3 Risk-Neutral Pricing; 1.4 Black-Scholes and Diffusion Process Implementation; 1.5 American Options; 1.6 Fundamental Pricing Formulas; 1.7 Change of Numeraire; 1.8 Girsanov's Theorem; 1.9 The Forward Measure; 1.10 The Choice of Numeraire; CHAPTER 2 Monte Carlo Simulation; 2.1 Monte Carlo; 2.2 Generating Sample Paths and Normal Deviates; 2.3 Generating Correlated Normal Random Variables
2.4 Quasi-Random Sequences2.5 Variance Reduction and Control Variate Techniques; 2.6 Monte Carlo Implementation; 2.7 Hedge Control Variates; 2.8 Path-Dependent Valuation; 2.9 Brownian Bridge Technique; 2.10 Jump-Diffusion Process and Constant Elasticity of Variance Diffusion Model; 2.11 Object-Oriented Monte Carlo Approach; CHAPTER 3 Binomial Trees; 3.1 Use of Binomial Trees; 3.2 Cox-Ross-Rubinstein Binomial Tree; 3.3 Jarrow-Rudd Binomial Tree; 3.4 General Tree; 3.5 Dividend Payments; 3.6 American Exercise; 3.7 Binomial Tree Implementation; 3.8 Computing Hedge Statistics
3.9 Binomial Model with Time-Varying Volatility3.10 Two-Variable Binomial Process; 3.11 Valuation of Convertible Bonds; CHAPTER 4 Trinomial Trees; 4.1 Use of Trinomial Trees; 4.2 Jarrow-Rudd Trinomial Tree; 4.3 Cox-Ross-Rubinstein Trinomial Tree; 4.4 Optimal Choice of λ; 4.5 Trinomial Tree Implementations; 4.6 Approximating Diffusion Processes with Trinomial Trees; 4.7 Implied Trees; CHAPTER 5 Finite-Difference Methods; 5.1 Explicit Difference Methods; 5.2 Explicit Finite-Difference Implementation; 5.3 Implicit Difference Method; 5.4 LU Decomposition Method
5.5 Implicit Difference Method Implementation5.6 Object-Oriented Finite-Difference Implementation; 5.7 Iterative Methods; 5.8 Crank-Nicolson Scheme; 5.9 Alternating Direction Implicit Method; CHAPTER 6 Exotic Options; 6.1 Barrier Options; 6.2 Barrier Option Implementation; 6.3 Asian Options; 6.4 Geometric Averaging; 6.5 Arithmetic Averaging; 6.6 Seasoned Asian Options; 6.7 Lookback Options; 6.8 Implementation of Floating Lookback Option; 6.9 Implementation of Fixed Lookback Option; CHAPTER 7 Stochastic Volatility; 7.1 Implied Volatility; 7.2 Volatility Skews and Smiles
7.3 Empirical Explanations7.4 Implied Volatility Surfaces; 7.5 One-Factor Models; 7.6 Constant Elasticity of Variance Models; 7.7 Recovering Implied Volatility Surfaces; 7.8 Local Volatility Surfaces; 7.9 Jump-Diffusion Models; 7.10 Two-Factor Models; 7.11 Hedging with Stochastic Volatility; CHAPTER 8 Statistical Models; 8.1 Overview; 8.2 Moving Average Models; 8.3 Exponential Moving Average Models; 8.4 GARCH Models; 8.5 Asymmetric GARCH; 8.6 GARCH Models for High-Frequency Data; 8.7 Estimation Problems; 8.8 GARCH Option Pricing Model; 8.9 GARCH Forecasting
CHAPTER 9 Stochastic Multifactor Models
ISBN: 978-0-471-68189-2 ; 0-471-65464-7 ; 978-0-471-65464-3
Source:
ECONIS - Online Catalogue of the ZBW
Persistent link: https://www.econbiz.de/10012685457