Applied Quantitative Finance for Equity Derivatives

Applied Quantitative Finance for Equity Derivatives
Author: Jherek Healy
Publisher:
Total Pages: 390
Release: 2017-09-21
Genre:
ISBN: 9781977557872

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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.

Applied Quantitative Finance for Equity Derivatives, Third Edition

Applied Quantitative Finance for Equity Derivatives, Third Edition
Author: Jherek Healy
Publisher: Lulu.com
Total Pages: 536
Release: 2021-01-25
Genre: Business & Economics
ISBN: 9781716190391

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In its third edition, this book presents the most significant equitya 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. A few key subjects explained in this book are: cash dividends for European, American, or exotic options; issues of the Dupire local volatility model and possible fixes; finite difference techniques for American options and exotics; Non-parametric regression for American options in Monte-Carlo, randomized simulations; the particle method for stochastic-local-volatility model with quasi-random numbers; numerical methods for the variance and volatility swaps; quadratures for options under stochastic volatility models; VIX options and dividend derivatives; backward/forward representation of exotics. The January 2021 third edition adds significant details around the physical exercise feature, how to imply the Black-Scholes volatility, the projected successive over-relaxation as well as the recent policy iteration method for the pricing of American options (particularly relevant in the case of negative interest rates), the Andersen-Lake algorithm as fast pricing routine for the case of vanilla American options under the Black-Scholes model, random number generation, antithetic variates, the vectorization of the Monte-Carlo simulation, RBF interpolation of implied volatilities, the Cos method for European option under stochastic volatility models, the Vega in stochastic volatility models. The new text also includes important corrections around the pricing of forward starting and knock-in options with finite difference methods.

Applied Quantitative Finance for Equity Derivatives, Second Edition

Applied Quantitative Finance for Equity Derivatives, Second Edition
Author: Jherek Healy
Publisher: Lulu.com
Total Pages: 516
Release: 2019-01-22
Genre: Science
ISBN: 9780244741587

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Revised and corrected in December 2018, 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. A few key subjects explained in this book are: cash dividends for European, American, or exotic options; issues of the Dupire local volatility model and possible fixes; finite difference techniques for American options and exotics; Non-parametric regression for American options in Monte-Carlo, randomized simulations; the particle method for stochastic-local-volatility model with quasi-random numbers; numerical methods for the variance and volatility swaps; quadratures for options under stochastic volatility models; VIX options and dividend derivatives; backward/forward representation of exotics. This second edition adds new arbitrage-free implied volatility interpolations, and covers various warrants, such as CBBCs.

Applied Quantitative Finance for Equity Derivatives - Third Edition

Applied Quantitative Finance for Equity Derivatives - Third Edition
Author: Jherek Healy
Publisher:
Total Pages: 536
Release: 2021-01-28
Genre:
ISBN:

Download Applied Quantitative Finance for Equity Derivatives - Third Edition Book in PDF, Epub and Kindle

In its third edition, this book presents the most significant equitya 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. A few key subjects explained in this book are: cash dividends for European, American, or exotic options; issues of the Dupire local volatility model and possible fixes; finite difference techniques for American options and exotics; Non-parametric regression for American options in Monte-Carlo, randomized simulations; the particle method for stochastic-local-volatility model with quasi-random numbers; numerical methods for the variance and volatility swaps; quadratures for options under stochastic volatility models; VIX options and dividend derivatives; backward/forward representation of exotics.The January 2021 third edition adds significant details around the physical exercise feature, how to imply the Black-Scholes volatility, the projected successive over-relaxation as well as the recent policy iteration method for the pricing of American options (particularly relevant in the case of negative interest rates), the Andersen-Lake algorithm as fast pricing routine for the case of vanilla American options under the Black-Scholes model, random number generation, antithetic variates, the vectorization of the Monte-Carlo simulation, RBF interpolation of implied volatilities, the Cos method for European option under stochastic volatility models, the Vega in stochastic volatility models. The new text also includes important corrections around the pricing of forward starting and knock-in options with finite difference methods.

Quantitative Finance

Quantitative Finance
Author: A. Reghai
Publisher: Springer
Total Pages: 223
Release: 2014-11-25
Genre: Business & Economics
ISBN: 1137414502

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The series of recent financial crises have thrown open the world of quantitative finance and financial modeling. This book brings together proven and new methodologies from finance, physics and engineering, along with years of industry and academic experience to provide a cookbook of models for dealing with the challenges of today's markets.

Equity Derivatives and Hybrids

Equity Derivatives and Hybrids
Author: Oliver Brockhaus
Publisher: Springer
Total Pages: 287
Release: 2016-04-29
Genre: Business & Economics
ISBN: 1137349492

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Since the development of the Black-Scholes model, research on equity derivatives has evolved rapidly to the point where it is now difficult to cut through the myriad of literature to find relevant material. Written by a quant with many years of experience in the field this book provides an up-to-date account of equity and equity-hybrid (equity-rates, equity-credit, equity-foreign exchange) derivatives modeling from a practitioner's perspective. The content reflects the requirements of practitioners in financial institutions: Quants will find a survey of state-of-the-art models and guidance on how to efficiently implement them with regards to market data representation, calibration, and sensitivity computation. Traders and structurers will learn about structured products, selection of the most appropriate models, as well as efficient hedging methods while risk managers will better understand market, credit, and model risk and find valuable information on advanced correlation concepts. Equity Derivatives and Hybrids provides exhaustive coverage of both market standard and new approaches, including: -Empirical properties of stock returns including autocorrelation and jumps -Dividend discount models -Non-Markovian and discrete-time volatility processes -Correlation skew modeling via copula as well as local and stochastic correlation factors -Hybrid modeling covering local and stochastic processes for interest rate, hazard rate, and volatility as well as closed form solutions -Credit, debt, and funding valuation adjustment (CVA, DVA, FVA) -Monte Carlo techniques for sensitivities including algorithmic differentiation, path recycling, as well as multilevel. Written in a highly accessible manner with examples, applications, research, and ideas throughout, this book provides a valuable resource for quantitative-minded practitioners and researchers.

Applied Quantitative Methods for Trading and Investment

Applied Quantitative Methods for Trading and Investment
Author: Christian L. Dunis
Publisher: John Wiley & Sons
Total Pages: 426
Release: 2004-01-09
Genre: Business & Economics
ISBN: 0470871342

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This book provides a manual on quantitative financial analysis. Focusing on advanced methods for modelling financial markets in the context of practical financial applications, it will cover data, software and techniques that will enable the reader to implement and interpret quantitative methodologies, specifically for trading and investment. Includes contributions from an international team of academics and quantitative asset managers from Morgan Stanley, Barclays Global Investors, ABN AMRO and Credit Suisse First Boston. Fills the gap for a book on applied quantitative investment & trading models Provides details of how to combine various models to manage and trade a portfolio

Problems and Solutions in Mathematical Finance, Volume 2

Problems and Solutions in Mathematical Finance, Volume 2
Author: Eric Chin
Publisher: John Wiley & Sons
Total Pages: 868
Release: 2017-03-13
Genre: Business & Economics
ISBN: 1119965829

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Detailed guidance on the mathematics behind equity derivatives Problems and Solutions in Mathematical Finance Volume II is an innovative reference for quantitative practitioners and students, providing guidance through a range of mathematical problems encountered in the finance industry. This volume focuses solely on equity derivatives problems, beginning with basic problems in derivatives securities before moving on to more advanced applications, including the construction of volatility surfaces to price exotic options. By providing a methodology for solving theoretical and practical problems, whilst explaining the limitations of financial models, this book helps readers to develop the skills they need to advance their careers. The text covers a wide range of derivatives pricing, such as European, American, Asian, Barrier and other exotic options. Extensive appendices provide a summary of important formulae from calculus, theory of probability, and differential equations, for the convenience of readers. As Volume II of the four-volume Problems and Solutions in Mathematical Finance series, this book provides clear explanation of the mathematics behind equity derivatives, in order to help readers gain a deeper understanding of their mechanics and a firmer grasp of the calculations. Review the fundamentals of equity derivatives Work through problems from basic securities to advanced exotics pricing Examine numerical methods and detailed derivations of closed-form solutions Utilise formulae for probability, differential equations, and more Mathematical finance relies on mathematical models, numerical methods, computational algorithms and simulations to make trading, hedging, and investment decisions. For the practitioners and graduate students of quantitative finance, Problems and Solutions in Mathematical Finance Volume II provides essential guidance principally towards the subject of equity derivatives.

Computational Finance Using C and C#

Computational Finance Using C and C#
Author: George Levy
Publisher: Academic Press
Total Pages: 384
Release: 2008-06-13
Genre: Business & Economics
ISBN: 9780080878072

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Computational Finance Using C and C# raises computational finance to the next level using the languages of both standard C and C#. The inclusion of both these languages enables readers to match their use of the book to their firm’s internal software and code requirements. The book also provides derivatives pricing information for equity derivates (vanilla options, quantos, generic equity basket options); interest rate derivatives (FRAs, swaps, quantos); foreign exchange derivatives (FX forwards, FX options); and credit derivatives (credit default swaps, defaultable bonds, total return swaps). This book is organized into 8 chapters, beginning with an overview of financial derivatives followed by an introduction to stochastic processes. The discussion then shifts to generation of random variates; European options; single asset American options; multi-asset options; other financial derivatives; and C# portfolio pricing application. The text is supported by a multi-tier website which enables purchasers of the book to download free software, which includes executable files, configuration files, and results files. With these files the user can run the C# portfolio pricing application and change the portfolio composition and the attributes of the deals. This book will be of interest to financial engineers and analysts as well as numerical analysts in banking, insurance, and corporate finance. Illustrates the use of C# design patterns, including dictionaries, abstract classes, and .NET InteropServices.

Equity Derivatives

Equity Derivatives
Author: Marcus Overhaus
Publisher: John Wiley & Sons
Total Pages: 172
Release: 2011-08-10
Genre: Business & Economics
ISBN: 1118160878

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Written by the quantitative research team of Deutsche Bank, the world leader in innovative equity derivative transactions, this book acquaints readers with leading-edge thinking in modeling and hedging these transactions. Equity Derivatives offers a balanced, integrated presentation of theory and practice in equity derivative markets. It provides a theoretical treatment of each new modeling and hedging concept first, and then demonstrates their practical application. The book covers: the newest and fastest-growing class of derivative instruments, fund derivatives; cutting-edge developments in equity derivative modeling; new developments in correlation modeling and understanding volatility skews; and new Web-based implementation/delivery methods. Marcus Overhaus, PhD, Andrew Ferraris, DPhil, Thomas Knudsen, PhD, Frank Mao, PhD, Ross Milward, Laurent Nguyen-Ngoc, PhD, and Gero Schindlmayr, PhD, are members of the Quantitative Research team of Deutsche Bank's Global Equity Division, which is based in London and headed by Dr. Overhaus.