[SEE ATTACHED FOR COMPLETE TEXT] In recent years stochastic processes have assumed an increasingly important role in the development of the mathematical theory of finance. This self-contained work examines 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. Key features of this work include: * accessible to readers with little or no prior knowledge of stochastic processes or stochastic analysis, * five introductory chapters on stochastic analysis, followed by
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 284 pp. Englisch. Seller Inventory # 9781461267966
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9781461267966
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Since the appearance of seminal works by R. Merton, and F. Blackand M. Scholes, stochastic processes have assumed an increasinglyimportant role in the development of the mathematical theory offinance. This work examines, in some detail, that part of stochasticfinance pertaining to option pricing theory. Thus the exposition isconfined to areas of stochastic finance that are relevant to thetheory, omitting such topics as futures and term-structure.This self-contained work begins with five introductory chapterson stochastic analysis, making it accessible to readers with little orno prior knowledge of stochastic processes or stochastic analysis.These chapters cover the essentials of Ito's theory of stochasticintegration, integration with respect to semimartingales, Girsanov'sTheorem, and a brief introduction to stochastic differentialequations.Subsequent chapters treat more specialized topics, includingoption pricing in discrete time, continuous time trading, arbitragecomplete markets, European options (Black and Scholes Theory)American options, Russian options, discrete approximations, and assetpricing with stochastic volatility. In several chapters, new resultsare presented. A unique feature of the book is its emphasis onarbitrage, in particular, the relationship between arbitrage andequivalent martingale measures (EMM), and the derivation of necessaryand sufficient conditions for no arbitrage (NA).{it Introduction to Option Pricing Theory} is intended forstudents and researchers in statistics, applied mathematics, businessor economics, who have a background in measure theory and havecompleted probability theory at the intermediate level. The worklends itself to self-study, as well as to a one-semester course at thegraduate level.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 284 pp. Englisch. Seller Inventory # 9781461267966
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