Probability theory in finance : a mathematical guide to the Black-Scholes formula
著者
書誌事項
Probability theory in finance : a mathematical guide to the Black-Scholes formula
（Graduate studies in mathematics, v. 70）
American Mathematical Society, c2013
2nd ed
大学図書館所蔵 全29件
注記
Includes bibliographical references (p. 299-300) and index
内容説明・目次
内容説明
The use of the Black-Scholes model and formula is pervasive in financial markets. There are very few undergraduate textbooks available on the subject and, until now, almost none written by mathematicians. Based on a course given by the author, the goal of this book is to introduce advanced undergraduates and beginning graduate students studying the mathematics of finance to the Black-Scholes formula. The author uses a first-principles approach, developing only the minimum background necessary to justify mathematical concepts and placing mathematical developments in context.
The book skillfully draws the reader toward the art of thinking mathematically and then proceeds to lay the foundations in analysis and probability theory underlying modern financial mathematics. It rigorously reveals the mathematical secrets of topics such as abstract measure theory, conditional expectations, martingales, Wiener processes, the Ito calculus, and other ingredients of the Black-Scholes formula. In explaining these topics, the author uses examples drawn from the universe of finance. The book also contains many exercises, some included to clarify simple points of exposition, others to introduce new ideas and techniques, and a few containing relatively deep mathematical results.
The second edition contains numerous revisions and additional material designed to enhance the book's usability as a classroom text. These changes include insights gleaned by the author after teaching from the text, as well as comments and suggestions made by others who used the book. Whereas the revised edition maintains the original approach, format, and list of topics, most chapters are modified to some extent; in addition, the rearrangement of material resulted in a new chapter (Chapter 9). With the modest prerequisite of a first course in calculus, the book is suitable for undergraduates and graduate students in mathematics, finance, and economics and can be read, using appropriate selections, at a number of levels.
目次
Table of Contents:
Money and markets
Fair games
Set theory
Measurable functions
Probability spaces
Expected values
Continuity and integrability
Conditional expectation
Lebesgue measure
Martingales
The Black-Scholes formula
Stochastic integration
Solutions
Bibliography
Index
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