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Derivative Securities and Difference Methods / by You-lan Zhu, Xiaonan Wu, I-Liang Chern
(Springer Finance. ISSN:21950687)

Edition 1st ed. 2004.
Publisher (New York, NY : Springer New York : Imprint: Springer)
Year 2004
Language English
Size XVIII, 513 p. 14 illus : online resource
Authors *Zhu, You-lan author
Wu, Xiaonan author
Chern, I-Liang author
SpringerLink (Online service)
Subjects LCSH:Social sciences -- Mathematics  All Subject Search
LCSH:Mathematics
LCSH:Mathematics -- Data processing  All Subject Search
LCSH:Numerical analysis
FREE:Mathematics in Business, Economics and Finance
FREE:Applications of Mathematics
FREE:Computational Mathematics and Numerical Analysis
FREE:Numerical Analysis
Notes 1 Introduction -- 2 Basic Options -- 3 Exotic Options -- 4 Interest Rate Derivative Securities -- 5 Basic Numerical Methods -- 6 Initial-Boundary Value and LC Problems -- 7 Free-Boundary Problems -- 8 Interest Rate Modeling -- References
This book is devoted to determining the prices of financial derivatives using a partial differential equation approach. In the first part the authors describe the formulation of the problems (including related free-boundary problems) and derive the closed form solutions if they have been found. The second part discusses how to obtain their numerical solutions efficiently for both European-style and American-style derivatives and for both stock options and interest rate derivatives. The numerical methods discussed are finite-difference methods. The book also discusses how to determine the coefficients in the partial differential equations. The aim of the book is to provide readers who have some code writing experience for engineering computations with the skills to develop efficient derivative-pricing codes. The book includes exercises throughout and will appeal to students and researchers in quantitative finance as well as practitioners in the financial industry and code developers
HTTP:URL=https://doi.org/10.1007/978-1-4757-3938-1
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Springer eBooks 9781475739381
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EB00231466

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Material Type E-Book
Classification LCC:H61.25
DC23:519
ID 4000107026
ISBN 9781475739381

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