Options pricing models and volatility using Excel-VBA

書誌事項

Options pricing models and volatility using Excel-VBA

Fabrice Douglas Rouah, Gregory Vainberg

(Wiley finance series)

John Wiley, c2007

  • : pbk

タイトル別名

Options pricing models & volatility using Excel-VBA+CD

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注記

Without CD-ROM edition: Substitute to the website data(There is a notation p. vii "contents")

Includes bibliographical references and index

内容説明・目次

内容説明

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

目次

Preface ix Chapter 1 Mathematical Preliminaries 1 Chapter 2 Numerical Integration 39 Chapter 3 Tree-Based Methods 70 Chapter 4 The Black-Scholes, Practitioner Black-Scholes, and Gram-Charlier Models 112 Chapter 5 The Heston (1993) Stochastic Volatility Model 136 Chapter 6 The Heston and Nandi (2000) GARCH Model 163 Chapter 7 The Greeks 187 Chapter 8 Exotic Options 230 Chapter 9 Parameter Estimation 275 Chapter 10 Implied Volatility 304 Chapter 11 Model-Free Implied Volatility 322 Chapter 12 Model-Free Higher Moments 350 Chapter 13 Volatility Returns 374 Appendix a A VBA Primer 404 References 409 About the CD-ROM 413 About the Authors 417 Index 419

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