Computational Methods for Option Pricing (Frontiers in Applied Mathematics, Series Number 30) - Softcover
Synopsis
This book is a must for becoming better acquainted with the modern tools of numerical analysis for several significant computational problems arising in finance. Important aspects of finance modeling are reviewed, involving partial differential equations and numerical algorithms for the fast and accurate pricing of financial derivatives and the calibration of parameters. The best numerical algorithms are fully explored and discussed, from their mathematical analysis up to their implementation in C++ with efficient numerical libraries. This is one of the few books that thoroughly covers the following topics: mathematical results and efficient algorithms for pricing American options; modern algorithms with adaptive mesh refinement for European and American options; regularity and error estimates are derived and give strong support to the mesh adaptivity, an essential tool for speeding up the numerical implementations; calibration of volatility with European and American options; the use of automatic differentiation of computer codes for computing greeks.
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About the Author
Yves Achdou is a Professor at the Université Denis Diderot, Paris. He was awarded the Prix Blaise Pascal de l'Académie des Sciences in 1998.Olivier Pironneau is a Professor at the Université Pierre et Marie Curie, Paris. He has been a member of the Académie des Sciences since 2002 and is the author of more than 300 articles and eight books.
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Computational Methods for Option Pricing (Frontiers in Applied Mathematics, Series Number 30)
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Society for Industrial and Applied Mathematics, 2005
ISBN 10: 0898715733
ISBN 13: 9780898715736
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Computational Methods for Option Pricing
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Computational Methods for Option Pricing: Series Number 30 (Frontiers in Applied Mathematics, Series Number 30)
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Paperback. Condition: New. Here is a book for anyone who would like to become better acquainted with the modern tools of numerical analysis for several significant computational problems arising in finance. The authors review some important aspects of finance modeling involving partial differential equations and focus on numerical algorithms for the fast and accurate pricing of financial derivatives and for the calibration of parameters.Option pricing has become a technical topic that requires sophisticated numerical methods for robust and fast numerical solutions. This book explores the best numerical algorithms and discusses them in depth, from their mathematical analysis up to their implementation in C with efficient numerical libraries. Much of this information is not available elsewhere. In particular, this is one of the few books that gives detailed coverage of the following topics: Mathematical results and efficient algorithms for pricing American options. Modern algorithms with adaptive mesh refinement for European and American options. Regularity and error estimates are derived and give strong support to the mesh adaptivity, an essential tool for speeding up the numerical implementations.Calibration of volatility with European and American options. The use of automatic differentiation of computer codes for computing gree. Seller Inventory # LU-9780898715736
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Computational Methods for Option Pricing: Series Number 30 (Frontiers in Applied Mathematics, Series Number 30)
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Computational Methods for Option Pricing: Series Number 30 (Frontiers in Applied Mathematics, Series Number 30)
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ISBN 13: 9780898715736
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Computational Methods for Option Pricing
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ISBN 10: 0898715733
ISBN 13: 9780898715736
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Paperback. Condition: New. Here is a book for anyone who would like to become better acquainted with the modern tools of numerical analysis for several significant computational problems arising in finance. The authors review some important aspects of finance modeling involving partial differential equations and focus on numerical algorithms for the fast and accurate pricing of financial derivatives and for the calibration of parameters.Option pricing has become a technical topic that requires sophisticated numerical methods for robust and fast numerical solutions. This book explores the best numerical algorithms and discusses them in depth, from their mathematical analysis up to their implementation in C with efficient numerical libraries. Much of this information is not available elsewhere. In particular, this is one of the few books that gives detailed coverage of the following topics: Mathematical results and efficient algorithms for pricing American options. Modern algorithms with adaptive mesh refinement for European and American options. Regularity and error estimates are derived and give strong support to the mesh adaptivity, an essential tool for speeding up the numerical implementations.Calibration of volatility with European and American options. The use of automatic differentiation of computer codes for computing gree. Seller Inventory # LU-9780898715736
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