Option Pricing Models and Volatility Using Excel-VBA
Published on 5. July 2007
432 pages
978-0-470-12575-5 (ISBN)
Description
This comprehensive guide offers traders, quants, and studentsthe tools and techniques for using advanced models for pricingoptions. The accompanying website includes data files, such asoptions prices, stock prices, or index prices, as well as all ofthe codes needed to use the option and volatility models describedin the book.Praise for Option Pricing Models & Volatility UsingExcel-VBA
"Excel is already a great pedagogical tool for teaching optionvaluation and risk management. But the VBA routines in this bookelevate Excel to an industrial-strength financial engineeringtoolbox. I have no doubt that it will become hugely successful as areference for option traders and risk managers."
--Peter Christoffersen, Associate Professor of Finance,Desautels Faculty of Management, McGill University
"This book is filled with methodology and techniques on how toimplement option pricing and volatility models in VBA. The booktakes an in-depth look into how to implement the Heston and Hestonand Nandi models and includes an entire chapter on parameterestimation, but this is just the tip of the iceberg. Everyoneinterested in derivatives should have this book in their personallibrary."
--Espen Gaarder Haug, option trader, philosopher, andauthor of Derivatives Models on Models
"I am impressed. This is an important book because it is thefirst book to cover the modern generation of option models,including stochastic volatility and GARCH."
--Steven L. Heston, Assistant Professor of Finance,R.H. Smith School of Business, University of Maryland
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Fabrice D. Rouah | Gregory Vainberg
Option Pricing Models and Volatility Using Excel -VBA
Book
04/2007
Wiley
€106.50
Shipment within 10-20 days
Persons
Fabrice Douglas Rouah is a Senior Quantitative Analyst at alarge financial firm in Boston. He is coauthor and coeditor of fourbooks on hedge funds and CTAs. This is his third book with JohnWiley & Sons.
Gregory Vainberg is a Corporate Risk Specialist at alarge consulting firm in Montreal. He is also the creator of thetop finance and math VBA Web site, www.vbnumericalmethods.com.
Content
Chapter 1 Mathematical Preliminaries.
Complex Numbers.
Finding Roots of Functions.
OLS and WLS.
Nelder-Mead Algorithm.
Maximum Likelihood Estimation.
Cubic Spline Interpolation.
Exercises and Solutions.
Chapter 2 Numerical Integration.
Newton-Coates Formulas.
Implementing Newton-Coates Formulas in VBA.
Gaussian Quadratures.
Exercises and Solutions.
Chapter 3 Tree-Based Methods.
CRR Binomial Tree.
Leisen-Reimer Binomial Tree.
Edgeworth Binomial Tree.
Flexible Binomial Tree.
Trinomial Tree.
Adaptive Mesh Method.
Comparing Trees.
Implied Volatility Trees.
Allowing for Dividends and the Cost of Carry.
Exercises and Solutions.
Chapter 4 The Black-Scholes, Practitioner Black-Scholes, andGram-Charlier Models.
Black-Scholes Model.
Implied Volatility and the DVF.
Practitioner Black-Scholes Model.
Gram-Charlier Model.
Exercises and Solutions.
Chapter 5 The Heston Stochastic Volatility Model.
Heston (1993) Model.
Increasing Integration Accuracy.
The Fundamental Tranform.
Sensitivity Analysis.
Exercises and Solutions.
Chapter 6 The Heston and Nandi GARCH Model.
Persistent Volatility in Asset Returns.
GARCH Variance Modeling.
Heston and Nandi (2000) Model.
Exercises and Solutions.
Chapter 7 The Greeks.
Black-Scholes Greeks.
Greeks From the Trees.
Greeks From the Gram-Charlier Model.
Greeks From the Heston (1993) Model.
Greeks From the Heston and Nandi (2000) Model.
Greeks by Finite Differences.
Exercises and Solutions.
Chapter 8 Exotic Options.
Single-Barrier Options.
Digital Options.
Asian Options.
Floating-Strike Lookback Options.
Exercises and Solutions.
Chapter 9 Parameter Estimation.
Unconditional Moments.
Maximum Likelihood for GARCH Models.
Estimation by Loss Functions.
Exercises and Solutions.
Chapter 10 Implied Volatility.
Obtaining Implied Volatility.
Explaining Smiles and Smirks
Fitting the Smile with the Heston (1993) Model.
Exercises and Solutions.
Chapter 11 Model-Free Implied Volatility.
Theoretical Foundation.
Implementation.
Interpolation-Extrapolation Method.
Model-Free Implied Forward Volatility.
The VIX Index.
Exercises and Solutions.
Chapter 12 Model-Free Higher Moments.
Theoretical Foundation.
Implementation.
Verifying Implied Moments.
Gram-Charlier Implied Moments.
Exercises and Solutions.
Chapter 13 Volatility Returns.
Straddle Returns.
Delta-Hedged Gains.
Volatility Exposure.
Variance Swaps.
Exercises and Solutions.
Appendix VBA Primer.
