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Optimization Methods in Finance (Mathematics, Finance and Risk, Series Number 5) - Hardcover

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9780521861700: Optimization Methods in Finance (Mathematics, Finance and Risk, Series Number 5)

Synopsis

Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses.

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Book Description

This textbook discusses optimization problems encountered in financial models, describes the relevant theory and efficient solution methods, and shows how to apply them to practical problems in mathematical finance. Based on a successful course at CMU, the text is class-tested and meets the need for a textbook aimed at financial applications.

About the Author

Gerard Cornuejols is an IBM University Professor of Operations Research at theTepper School of Business, Carnegie Mellon University.

Reha Tütüncü is a Vice President in the Quantitative Resources Group at Goldman Sachs Asset Management, New York.

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  • PublisherCambridge University Press
  • Publication date2007
  • ISBN 10 0521861705
  • ISBN 13 9780521861700
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages358
  • Rating
    • 3.81 out of 5 stars
      16 ratings by Goodreads

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ISBN 10: 0521861705 ISBN 13: 9780521861700
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