Probability Theory in Finance: A Mathematical Guide to the Black-Scholes Formula (Graduate Studies in Mathematics, Vol. 70)

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 Itô 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. 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. The Book Aims To Provide The Reader With A Mathematical Foundation For An In-depth Study Of Financial Mathematics. The Author Has Chosen To Explain The Techniques Necessary To Understand The Black-scholes Formula, Currently One Of The Most Successful And Best-known Applications Of Mathematics To Finance, As His Ultimate Goal, Thus Providing An Excellent Focus For The Reader's Motivation.--jacket. Ch. 1. Money And Markets -- Ch. 2. Fair Games -- Ch. 3. Set Theory -- Ch. 4. Measurable Functions -- Ch. 5. Probability Spaces -- Ch. 6. Expected Values -- Ch. 7. Continuity And Integrability -- Ch. 8. Conditional Expectation -- Ch. 9. Martingales -- Ch. 10. Black-scholes Formula -- Ch. 11. Stochastic Integration. Seán Dineen. Includes Bibliographical References (p. 289-290) And Index.