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Home > Financial Information Sources > Mathematical Finance > Mathematical Techniques in Finance: Tools for Incomplete Markets

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Mathematical Techniques in Finance: Tools for Incomplete Markets

Ales Cerny
Princeton, New Jersey: Princeton University Press, 2004
378pp, ISBN: 978-0-691-08807-5
press.princeton.edu

This is a comprehensive exploration of pricing and risk measurement in incomplete markets, a key area of current research. It offers a blend of numerical applications and theoretical grounding in economics, finance, and mathematics, and focuses on asset pricing throughout the book. It also contains useful exercises, figures, worked examples, computer programs, and spreadsheets.

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Mathematical Techniques in Finance: Tools for Incomplete Markets

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Product Description

Modern finance overlaps with many fields of mathematics, and for students this can represent considerable strain. Mathematical Techniques in Finance is an ideal textbook for Masters finance courses with a significant quantitative element while also being suitable for finance Ph.D. students. Developed for the highly acclaimed Master of Science in Finance program at Imperial College London, it offers a carefully crafted blend of numerical applications and theoretical grounding in economics, finance, and mathematics. In the best engineering tradition, Ales CernĂ˝ mixes tools from calculus, linear algebra, probability theory, numerical mathematics, and programming to analyze in an accessible way some of the most intriguing problems in financial economics. Eighty figures, over 70 worked examples, 25 simple ready-to-run computer programs, and several spreadsheets further enhance the learning experience. Each chapter is followed by a number of classroom-tested exercises with solutions available on the book's web site.

Applied mathematics is a craft that requires practice--this textbook provides plenty of opportunities to practice it and teaches cutting-edge finance into the bargain. Asset pricing is a common theme throughout the book; and readers can follow the development from discrete one-period models to continuous time stochastic processes. This textbook sets itself apart by the comprehensive treatment of pricing and risk measurement in incomplete markets, an area of current research that represents the future in risk management and investment performance evaluation.

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