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Option Pricing Models and Volatility Using Excel-VBA, by Fabrice D. Rouah, Gregory Vainberg
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This comprehensive guide offers traders, quants, and students the tools and techniques for using advanced models for pricing options. The accompanying website includes data files, such as options prices, stock prices, or index prices, as well as all of the codes needed to use the option and volatility models described in the book.
Praise for Option Pricing Models & Volatility Using Excel-VBA"Excel is already a great pedagogical tool for teaching option valuation and risk management. But the VBA routines in this book elevate Excel to an industrial-strength financial engineering toolbox. I have no doubt that it will become hugely successful as a reference 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 to implement option pricing and volatility models in VBA. The book takes an in-depth look into how to implement the Heston and Heston and Nandi models and includes an entire chapter on parameter estimation, but this is just the tip of the iceberg. Everyone interested in derivatives should have this book in their personal library."
—Espen Gaarder Haug, option trader, philosopher, and author of Derivatives Models on Models
"I am impressed. This is an important book because it is the first 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
- Sales Rank: #918366 in Books
- Published on: 2007-04-13
- Original language: English
- Number of items: 1
- Dimensions: 9.27" h x .94" w x 7.48" l, 1.71 pounds
- Binding: Paperback
- 441 pages
From the Back Cover
This comprehensive guide offers traders, quants, and students the tools and techniques for using advanced models for pricing options. The accompanying website includes data files, such as options prices, stock prices, or index prices, as well as all of the codes needed to use the option and volatility models described in the book.
"Excel is already a great pedagogical tool for teaching option valuation and risk management. But the VBA routines in this book elevate Excel to an industrial-strength financial engineering toolbox. I have no doubt that it will become hugely successful as a reference 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 to implement option pricing and volatility models in VBA. The book takes an in-depth look into how to implement the Heston and Heston and Nandi models and includes an entire chapter on parameter estimation, but this is just the tip of the iceberg. Everyone interested in derivatives should have this book in their personal library."
—Espen Gaarder Haug, option trader, philosopher, and author of Derivatives Models on Models
"I am impressed. This is an important book because it is the first 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
About the Author
Fabrice Douglas Rouah is a Senior Quantitative Analyst at a large financial firm in Boston. He is coauthor and coeditor of four books on hedge funds and CTAs. This is his third book with John Wiley & Sons.
Gregory Vainberg is a Corporate Risk Specialist at a large consulting firm in Montreal. He is also the creator of the top finance and math VBA Web site, www.vbnumericalmethods.com.
Most helpful customer reviews
10 of 11 people found the following review helpful.
Happiness is reality vs expectation.
By B. Manistre
When I purchased this book I was looking for a quick way to get reliable code implementing the Heston model in an Excel/VBA environment. In particular, I was doing research work on long dated options. I found the book useful but my expectations were not met.
The book was useful in that it introduced me to complex variable techniques for Excel/VBA and illustrated a reasonable approach to solving the Heston model. The devil was in the details.
The VB routines on the CD often fall over for long dated options (underflow/overflow) and some well known subtlties of complex calculus appear to be ignored (e.g. keeping track of the branch you are on for the complex logarithm). All of these issues were within my power to fix but I was dissappointed that I had to spend that much time on it.
6 of 6 people found the following review helpful.
Course Text Recommendation
By C. Alexander
I recommend this book for my Volatility Analysis module (for ICMA Centre MSc in Financial Risk Management and MSC Financial Engineering). It is particularly useful for the Financial Risk Management (FRM) students because, of the 2 groups, these tend to have less background in mathematics and programming. It is useful to have the numerical methods explained together with the option pricing models in one book, and the FRM students really appreciate the VBA code, which ties in very well with some of the practical workshops.
14 of 17 people found the following review helpful.
Pretty Good Book
By C. Ang
Options and Volatility are fairly technical subjects. Anyone expecting to read this book should know what they are getting themselves into. The background on the different models are presented, but the reader should be familiar with some of the material or should have a decent mathematical background. This book doesn't waste time with too much background material, and jumps straight to the model/code format. The VBA part is pretty straight-forward and I think the code is presented pretty well. Prior to this book, I would never have thought to program options or volatility codes in VBA as there are other more sophisticated programs that can be used (e.g. MATLAB). However, VBA comes with Excel, which every person probably has. In that light, programming these models in VBA will make it more accessible to a wider audience and the reader can learn tricks that can be applied to other modeling tasks.
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