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Home > Business & Economics > Finance & Accounting > The Volatility Surface: A Practitioner's Guide-eBook
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The Volatility Surface: A Practitioner's Guide
"

A detailed look at the volatility surface

The volatility surface, formed from implied volatilities of all strikes and expirations, moves around. This randomness needs to be explicitly modeled for the effective pricing, trading, and risk management of equity derivatives. Focusing on equity derivatives, author Jim Gatheral examines why options are priced as they are and, starting from a powerful representation of implied volatility in terms of a weighted average of realized volatilities, explores the implications of various popular models for pricing. Along the way he also discusses default risk models, capital structure arbitrage, quadratic variation-based payoffs, VIX futures contracts, and much more. Throughout The Volatility Surface, specific examples are considered to make theory come to life for practitioners.

Jim Gatheral, PhD (New York, NY) has been Managing Director, Head of Global Quantitative Analytics at Merrill Lynch since 1995. He is an Adjunct Professor at the Courant Institute of Mathematical Sciences at New York University and is a frequent speaker at derivatives conferences around the world. "

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Title of ebook: The Volatility Surface: A Practitioner's Guide
ISBN: 9780470068250
Publisher: John Wiley & Sons, Inc.
Internet download file size: 1793 kb
Pages: 179
Released online for download: 09-18-2006
Author of eBook: Gatheral, Jim
Foreword by: Taleb, Nassim Nicholas

The Volatility Surface

A Practitioner's Guide

Chapter One

Stochastic Volatility and Local Volatility

In this chapter, we begin our exploration of the volatility surface by introducing stochastic volatility-the notion that volatility varies in a random fashion. Local variance is then shown to be a conditional expectation of the instantaneous variance so that various quantities of interest (such as option prices) may sometimes be computed as though future volatility were deterministic rather than stochastic.

STOCHASTIC VOLATILITY

That it might make sense to model volatility as a random variable should be clear to the most casual observer of equity markets. To be convinced, one need only recall the stock market crash of October 1 ... read full excerpt from The Volatility Surface: A Practitioner's Guide ebook



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