
Ebook Info
- Published: 2000
- Number of pages: 279 pages
- Format: PDF
- File Size: 23.63 MB
- Authors: Gopinath Kallianpur
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.
User’s Reviews
Reviews from Amazon users which were colected at the time this book was published on the website:
⭐I am a relatively new student of stochastic processes. The first 4 chapters which are essentially devoted to explaining the theoretical concepts (Ito inetgration, semi-martingales, etc..) are so lucidly written that it is very easy for someone with a limited idea of stochastic process to comprehend them. After establishing these concepts, the book discusses how the earlier theory is applied to pricing by discussing the options pricing models under different scenarios. I felt that although i understood the earlier discussions regarding arbitrage, the part on how it relates with equivalent martingales was quite difficult to understand. But it is probably because i am new to this subject. In all this is an excellent effort by the authors to make a difficult topic readable and understandable. Finally i feel that people, who are genuinely interested in investing their hard earned money in options, should take the time and effort to learn from this book rather than the typical stereotype “How I Became a Millionaire Overnight Trading Options” books.
⭐Introduction to option pricing theory.Stochastic calculus.
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