An Elementary Introduction to Mathematical Finance: Options and other Topics
by Sheldon M. Ross
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Description
This unique book on the basics of option pricing is mathematically accurate and yet accessible to readers with limited mathematical training. It will appeal to professional traders as well as undergraduates studying the basics of finance. The author assumes no prior knowledge of probability, and offers clear, simple explanations of arbitrage, the Black-Scholes option pricing formula, and other topics such as utility functions, optimal portfolio selections, and the capital assets pricing show more model. Among the many new features of this second edition are: a new chapter on optimization methods in finance; a new section on Value at Risk and Conditional Value at Risk; a new and simplified derivation of the Black-Scholes equation, together with derivations of the partial derivatives of the Black-Scholes option cost function and of the computational Black-Scholes formula; three different models of European call options with dividends; a new, easily implemented method for estimating the volatility parameter. show lessTags
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This new, third edition further bolsters Ross’ text as an excellent introduction to mathematical finance. Plentiful with preliminary material, the book can work for self-study, given that the reader has a solid background in calculus and statistics fundamentals. It would also be helpful to understand the fundamentals of LP models and their duals, as this is an expectation made on the reader for grasping the key proof of the Arbitrage Theorem. Of course, the text can work well as an introductory course for undergraduates. The usage as a textbook on the basics of option pricing better fits the structure of the text which includes exercises at the end of each chapter without any solutions. Also, the examples, while detailed, are less show more numerous than the proofs, lemmas, and propositions the reader will need in order to comprehend in order to progress. show less
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Author Information
33 Works 1,360 Members
Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in show more Probability, Introduction to Probability Models, Stochastic Processes, and introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award. show less
Classifications
Statistics
- Members
- 45
- Popularity
- 662,929
- Reviews
- 1
- Rating
- (3.50)
- Languages
- English
- Media
- Paper, Ebook
- ISBNs
- 13
