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Derivative Pricing in Discrete Time (Springer Undergraduate Mathematics Series), by Nigel J. Cutland, Alet Roux
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This book covers mathematical modeling of financial markets and rational pricing of derivatives, a theory which underpins modern financial practice. Emphasizing clarity and rigor throughout, the theme is the problem of finding a fair price for a derivative.
- Sales Rank: #3799362 in Books
- Brand: Brand: Springer
- Published on: 2012-09-07
- Released on: 2012-09-07
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .78" w x 6.10" l, .95 pounds
- Binding: Paperback
- 325 pages
- Used Book in Good Condition
Review
From the reviews:
“Derivative Pricing in Discrete Time introduces the basic ideas of financial derivatives with a minimum of prerequisites. … Indeed, as an undergraduate-level mathematical treatment of the subject, this is the best textbook I have seen. … I would recommend the book to students preparing for financial careers, such as actuaries. Practical pricing models should make more sense with the theoretical grounding provided by this book.” (John Curran, MAA Reviews, May, 2014)
From the Back Cover
Derivatives are financial entities whose value is derived from the value of other more concrete assets such as stocks and commodities. They are an important ingredient of modern financial markets.
This book provides an introduction to the mathematical modelling of real world financial markets and the rational pricing of derivatives, which is part of the theory that not only underpins modern financial practice but is a thriving area of mathematical research. The central theme is the question of how to find a fair price for a derivative, which is defined to be a price at which it is not possible for any trader to make a risk free profit by trading in the derivative. To keep the mathematics as simple as possible, while explaining the basic principles, only discrete time models with a finite number of possible future scenarios are considered.
The authors first examine the simplest possible financial model, which has only one time step, where many of the fundamental ideas occur, and are easily understood. Proceeding slowly, the theory progresses to more realistic models with several stocks and multiple time steps, and includes a comprehensive treatment of incomplete models. The emphasis throughout is on clarity combined with full rigour. The later chapters deal with more advanced topics, including how the discrete time theory is related to the famous continuous time Black-Scholes theory, and a uniquely thorough treatment of American options.
The book assumes no prior knowledge of financial markets, and the mathematical prerequisites are limited to elementary linear algebra and probability. This makes it accessible to undergraduates in mathematics as well as students of other disciplines with a mathematical component. It includes numerous worked examples and exercises, making it suitable for self-study.
About the Author
Cutland, Department of Pure Mathematics, University of Hull.
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