The Complete Guide to Option Pricing Formulas

The Complete Guide to Option Pricing Formulas

Author: Espen Gaarder Haug

Publisher: Professional Finance & Investment

Published: 2007-01-08

Total Pages: 586

ISBN-13:

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Accompanying CD-ROM contains ... "all pricing formulas, with VBA code and ready-to-use Excel spreadsheets and 3D charts for Greeks (or Option Sensitivities)."--Jacket.


Introduction to Option Pricing Theory

Introduction to Option Pricing Theory

Author: Gopinath Kallianpur

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 266

ISBN-13: 1461205115

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Since the appearance of seminal works by R. Merton, and F. Black and M. Scholes, stochastic processes have assumed an increasingly important role in the development of the mathematical theory of finance. This work examines, in some detail, that part of stochastic finance pertaining to option pricing theory. Thus the exposition is confined to areas of stochastic finance that are relevant to the theory, omitting such topics as futures and term-structure. This self-contained work begins with five introductory chapters on stochastic analysis, making it accessible to readers with little or no prior knowledge of stochastic processes or stochastic analysis. These chapters cover the essentials of Ito's theory of stochastic integration, integration with respect to semimartingales, Girsanov's Theorem, and a brief introduction to stochastic differential equations. Subsequent chapters treat more specialized topics, including option pricing in discrete time, continuous time trading, arbitrage, complete markets, European options (Black and Scholes Theory), American options, Russian options, discrete approximations, and asset pricing with stochastic volatility. In several chapters, new results are presented. A unique feature of the book is its emphasis on arbitrage, in particular, the relationship between arbitrage and equivalent martingale measures (EMM), and the derivation of necessary and sufficient conditions for no arbitrage (NA). {\it Introduction to Option Pricing Theory} is intended for students and researchers in statistics, applied mathematics, business, or economics, who have a background in measure theory and have completed probability theory at the intermediate level. The work lends itself to self-study, as well as to a one-semester course at the graduate level.


Option Pricing

Option Pricing

Author: Paul Wilmott

Publisher:

Published: 1993

Total Pages: 457

ISBN-13: 9780952208204

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Análisis de los diferentes modelos matemáticos aplicados a los precios de opción. Se estudian además los elementos matemáticos básicos necesarios para el análisis de la ecuación Black-Scholes.


Basic Option Volatility Strategies

Basic Option Volatility Strategies

Author: Sheldon Natenberg

Publisher: John Wiley & Sons

Published: 2012-09-27

Total Pages: 121

ISBN-13: 1118538064

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Now you can learn directly from Sheldon Natenberg! In this unique multimedia course, Natenberg will explain the most popular option pricing strategies. Follow along as this trading legend walks you through the calculations and key elements of option volatility in this video, companion book, and self-test combination. Get The Full Impact Of Every Word Of This Traders' Hall Of Fame Presentation. You'll learn: Implied volatility and how it is calculated, so you can find the best positions; What assumptions are driving an options pricing model to be ahead of the trade; Proven techniques for comparing price to value to increase your number of winning trade; How you can use probability to estimate option prices to increase trading income. Spending time with a trading legend is usually a dream for most traders, but this is your opportunity to get the inside tactics of one of the most sought-after educators in options. With the personal touch of his presentation, Natenberg's educational tool gives all traders, beginner to advanced, access to the powerful insights that can bring ongoing option trading success.


Nonlinear Option Pricing

Nonlinear Option Pricing

Author: Julien Guyon

Publisher: CRC Press

Published: 2013-12-19

Total Pages: 480

ISBN-13: 1466570342

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New Tools to Solve Your Option Pricing ProblemsFor nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues. Written by two leaders in quantitative research-including Risk magazine's 2013 Quant of the Year-Nonlinear Option Pricing compares various numerical methods for solving hi


Foreign Exchange Option Pricing

Foreign Exchange Option Pricing

Author: Iain J. Clark

Publisher: John Wiley & Sons

Published: 2011-01-18

Total Pages: 308

ISBN-13: 0470683686

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This book covers foreign exchange options from the point of view of the finance practitioner. It contains everything a quant or trader working in a bank or hedge fund would need to know about the mathematics of foreign exchange—not just the theoretical mathematics covered in other books but also comprehensive coverage of implementation, pricing and calibration. With content developed with input from traders and with examples using real-world data, this book introduces many of the more commonly requested products from FX options trading desks, together with the models that capture the risk characteristics necessary to price these products accurately. Crucially, this book describes the numerical methods required for calibration of these models – an area often neglected in the literature, which is nevertheless of paramount importance in practice. Thorough treatment is given in one unified text to the following features: Correct market conventions for FX volatility surface construction Adjustment for settlement and delayed delivery of options Pricing of vanillas and barrier options under the volatility smile Barrier bending for limiting barrier discontinuity risk near expiry Industry strength partial differential equations in one and several spatial variables using finite differences on nonuniform grids Fourier transform methods for pricing European options using characteristic functions Stochastic and local volatility models, and a mixed stochastic/local volatility model Three-factor long-dated FX model Numerical calibration techniques for all the models in this work The augmented state variable approach for pricing strongly path-dependent options using either partial differential equations or Monte Carlo simulation Connecting mathematically rigorous theory with practice, this is the essential guide to foreign exchange options in the context of the real financial marketplace.


PDE and Martingale Methods in Option Pricing

PDE and Martingale Methods in Option Pricing

Author: Andrea Pascucci

Publisher: Springer Science & Business Media

Published: 2011-04-15

Total Pages: 727

ISBN-13: 8847017815

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This book offers an introduction to the mathematical, probabilistic and numerical methods used in the modern theory of option pricing. The text is designed for readers with a basic mathematical background. The first part contains a presentation of the arbitrage theory in discrete time. In the second part, the theories of stochastic calculus and parabolic PDEs are developed in detail and the classical arbitrage theory is analyzed in a Markovian setting by means of of PDEs techniques. After the martingale representation theorems and the Girsanov theory have been presented, arbitrage pricing is revisited in the martingale theory optics. General tools from PDE and martingale theories are also used in the analysis of volatility modeling. The book also contains an Introduction to Lévy processes and Malliavin calculus. The last part is devoted to the description of the numerical methods used in option pricing: Monte Carlo, binomial trees, finite differences and Fourier transform.


Option Pricing Models and Volatility Using Excel-VBA

Option Pricing Models and Volatility Using Excel-VBA

Author: Fabrice D. Rouah

Publisher: John Wiley & Sons

Published: 2012-06-15

Total Pages: 456

ISBN-13: 1118429206

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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


Option Pricing and Estimation of Financial Models with R

Option Pricing and Estimation of Financial Models with R

Author: Stefano M. Iacus

Publisher: John Wiley & Sons

Published: 2011-02-23

Total Pages: 402

ISBN-13: 1119990203

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Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous time processes and numerical option pricing. Introduces the bases of probability theory and goes on to explain how to model financial times series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets based on these models. Analysis and implementation of models goes beyond the standard Black and Scholes framework and includes Markov switching models, Lévy models and other models with jumps (e.g. the telegraph process); Topics other than option pricing include: volatility and covariation estimation, change point analysis, asymptotic expansion and classification of financial time series from a statistical viewpoint. The book features problems with solutions and examples. All the examples and R code are available as an additional R package, therefore all the examples can be reproduced.