A Practical Approach to Option Pricing Theory PDF Download

Author: H. Page
Publisher:
ISBN:
Category : Options (Finance)
Languages : en
Pages : 75

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Book Description

Author: Christophe Chorro
Publisher: Springer
ISBN: 3662450372
Category : Business & Economics
Languages : en
Pages : 202

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Book Description
The current world financial scene indicates at an intertwined and interdependent relationship between financial market activity and economic health. This book explains how the economic messages delivered by the dynamic evolution of financial asset returns are strongly related to option prices. The Black Scholes framework is introduced and by underlining its shortcomings, an alternative approach is presented that has emerged over the past ten years of academic research, an approach that is much more grounded on a realistic statistical analysis of data rather than on ad hoc tractable continuous time option pricing models. The reader then learns what it takes to understand and implement these option pricing models based on time series analysis in a self-contained way. The discussion covers modeling choices available to the quantitative analyst, as well as the tools to decide upon a particular model based on the historical datasets of financial returns. The reader is then guided into numerical deduction of option prices from these models and illustrations with real examples are used to reflect the accuracy of the approach using datasets of options on equity indices.

Author: Gopinath Kallianpur
Publisher: Springer Science & Business Media
ISBN: 1461205115
Category : Mathematics
Languages : en
Pages : 266

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Book Description
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.

Author: Adam S. Iqbal
Publisher: John Wiley & Sons
ISBN: 111950161X
Category : Business & Economics
Languages : en
Pages : 208

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Book Description
Gain a deep, intuitive and technical understanding of practical options theory The main challenges in successful options trading are conceptual, not mathematical. Volatility: Practical Options Theory provides financial professionals, academics, students and others with an intuitive as well as technical understanding of both the basic and advanced ideas in options theory to a level that facilitates practical options trading. The approach taken in this book will prove particularly valuable to options traders and other practitioners tasked with making pricing and risk management decisions in an environment where time constraints mean that simplicity and intuition are of greater value than mathematical formalism. The most important areas of options theory, namely implied volatility, delta hedging, time value and the so-called options greeks are explored based on intuitive economic arguments alone before turning to formal models such as the seminal Black-Scholes-Merton model. The reader will understand how the model free approach and mathematical models are related to each other, their underlying theoretical assumptions and their implications to level that facilitates practical implementation. There are several excellent mathematical descriptions of options theory, but few focus on a translational approach to convert the theory into practice. This book emphasizes the translational aspect, while first building an intuitive, technical understanding that allows market makers, portfolio managers, investment managers, risk managers, and other traders to work more effectively within—and beyond—the bounds of everyday practice. Gain a deeper understanding of the assumptions underlying options theory Translate theoretical ideas into practice Develop a more accurate intuition for better time-constrained decision making This book allows its readers to gain more than a superficial understanding of the mechanisms at work in options markets. Volatility gives its readers the edge by providing a true bedrock foundation upon which practical knowledge becomes stronger.

Author: Stephen Figlewski
Publisher: McGraw-Hill Companies
ISBN: 9781556238727
Category : Business & Economics
Languages : en
Pages : 596

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Book Description
Financial Options links option theory with practical applications. Readers will find this book's approach simple to follow, with information organized for easy access that includes: institutional and theoretical frameworks for understanding options and option markets; how to apply option pricing models to specific types of markets; the numerical methods that must be applied to solve many option valuation problems.

Author: Fred Espen Benth
Publisher: Springer Science & Business Media
ISBN: 9783540405023
Category : Business & Economics
Languages : en
Pages : 180

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Book Description
This is a very basic and accessible introduction to option pricing, invoking a minimum of stochastic analysis and requiring only basic mathematical skills. It covers the theory essential to the statistical modeling of stocks, pricing of derivatives with martingale theory, and computational finance including both finite-difference and Monte Carlo methods.

Author: Lishang Jiang
Publisher: World Scientific Publishing Company
ISBN: 9813106557
Category : Business & Economics
Languages : en
Pages : 343

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Book Description
From the unique perspective of partial differential equations (PDE), this self-contained book presents a systematic, advanced introduction to the Black-Scholes-Merton's option pricing theory.A unified approach is used to model various types of option pricing as PDE problems, to derive pricing formulas as their solutions, and to design efficient algorithms from the numerical calculation of PDEs. In particular, the qualitative and quantitative analysis of American option pricing is treated based on free boundary problems, and the implied volatility as an inverse problem is solved in the optimal control framework of parabolic equations.

Author: Simone Calogero
Publisher: SIAM
ISBN: 1611977649
Category : Mathematics
Languages : en
Pages : 299

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Book Description
Among the many branches of applied mathematics, options pricing theory occupies a unique position: it utilizes a wide range of advanced mathematical concepts, making it appealing to mathematicians, and it is regularly applied at financial institutions, making it indispensable to practitioners. The emergence of artificial intelligence in the financial industry has led to further interest in mathematical finance and has increased the demand for literature on this subject that is accessible to a large audience. This book presents a self-contained introduction to options pricing theory and includes a complete discussion of the required concepts in finance and probability theory; an introduction to basic models, emphasizing both critical thinking and practical applications; and over 200 exercises, several Python codes for the analysis and application of the options pricing models, and numerical projects intended to help close the gap between theory and practice. A First Course in Options Pricing Theory is suitable for an advanced undergraduate course on financial mathematics and options pricing theory in engineering, computer science, and applied mathematics programs. The reader is assumed to be familiar with the standard material in calculus and linear algebra. Stochastic calculus is not used in the book.

Author: G. Kallianpur
Publisher:
ISBN: 9783764341084
Category : Options (Finance)
Languages : en
Pages : 268

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Book Description
"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." "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."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

Author: Graeme Guthrie
Publisher: Oxford University Press
ISBN: 019993908X
Category : Business & Economics
Languages : en
Pages : 432

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Book Description
Decision-makers in business and economics face a staggering array of problems. For example, managers of growing firms have to decide when to expand their business, governments have to decide whether to undertake large infrastructure investments, and managers of oil firms must decide how rapidly to deplete their reserves. While these problems seem quite diverse, they all share many important features. In each case, the decision-maker must choose when to take a particular action that will be potentially impossible to reverse, and the consequences of taking (or not taking) that action are uncertain. Also, the timing and nature of these actions directly affect the cash flows generated by the entities they manage. This book explains how techniques originally developed to price financial derivatives can be used to analyze real-world decisions, and provides the tools necessary to put them into practice. The real options analysis approach to decision-making is built on strong theoretical foundations, and is widely discussed in practitioner literature, but often only at a fairly intuitive level. What practitioners need-and what this book delivers-is a structured approach to systematically applying real options analysis to the wide variety of problems they will meet in business and economics. Real Options in Theory and Practice focuses on building up a general approach to solving real options problems from the ground up. Rather than aiming to build a "black box" to solve a small set of standardized real options problems, it describes the building blocks of any successful real options analysis and shows how they can be assembled in a way that is appropriate to the problem being analyzed. For both practitioners and academics, Real Options in Theory and Practice will serve as an authoritative and invaluable resource for those looking for effective and practical solutions to complex, real-life problems.