Applied Quantitative Finance for Equity Derivatives
Author | : Jherek Healy |
Publisher | : |
Total Pages | : 390 |
Release | : 2017-09-21 |
ISBN-10 | : 1977557872 |
ISBN-13 | : 9781977557872 |
Rating | : 4/5 (872 Downloads) |
Download or read book Applied Quantitative Finance for Equity Derivatives written by Jherek Healy and published by . This book was released on 2017-09-21 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the most significant equity derivatives models used these days. It is not a book around esoteric or cutting-edge models, but rather a book on relatively simple and standard models, viewed from the angle of a practitioner. Most books present models in an abstract manner, often disconnected from how to apply them in the real world. This book intends to fill that gap, with the ambitious goal of transforming a reader unfamiliar with equity derivatives models into a specialist of such models. What's special about it? The subject of cash dividends is absent of most books, and yet a real practical problem that every equity derivatives desk faces. This books gives a thorough treatment of the subject, be it for European, American, or more exotic options under the local volatility model. Similarly, Dupire local volatility issues are usually ignored while everybody face them. It presents various refinement for numerical techniques, for example, how to properly handle barriers in the TR-BDF2 finite difference method (and others) for a maximum accuracy, how to actually perform the parametric or non-parametric regression for American options in Monte-Carlo, how to do randomized Monte-Carlo simulations, which random number generators are pertinent these days, how to apply quasi Monte-Carlo to the particle stochastic-local-volatility calibration method,which quadrature should use consider for variance swap, volatility swap or vanilla options under stochastic volatility models with known characteristic function... It covers VIX options and dividend derivatives. The backward/forward representation of exotics is well known in the industry and yet rarely presented. It does not cover esoteric payoffs that might have a nice analytical formula but are never traded in practice, or models too complex to be practical.