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Description - Computational Finance by George Levy

Computational Finance presents a modern computational approach to mathematical finance within the Windows environment, and contains financial algorithms, mathematical proofs and computer code in C/C++. The author illustrates how numeric components can be developed which allow financial routines to be easily called by the complete range of Windows applications, such as Excel, Borland Delphi, Visual Basic and Visual C++. These components permit software developers to call mathematical finance functions more easily than in corresponding packages. Although these packages may offer the advantage of interactive interfaces, it is not easy or computationally efficient to call them programmatically as a component of a larger system. The components are therefore well suited to software developers who want to include finance routines into a new application. Typical readers are expected to have a knowledge of calculus, differential equations, statistics, Microsoft Excel, Visual Basic, C++ and HTML. A CD-ROM is included which contains: working computer code, demonstration applications and also pdf versions of several research articles.

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Book Details

ISBN: 9780750657228
ISBN-10: 0750657227
Format: Hardback
(234mm x 165mm x mm)
Pages: 456
Imprint: Butterworth-Heinemann Ltd
Publisher: Elsevier Science & Technology
Publish Date: 17-Dec-2003
Country of Publication: United Kingdom

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Author Biography - George Levy

George Levy has a doctorate in mathematical physics from Oxford University. For 11 years he worked at the Numerical Algorithms Group NAG, developing mathematical and financial software. Currently he works as a consultant at SunGard developing software for estimating financial risk. He has provided technical consultancy to numerous financial institutions, and has published articles on numerical modelling, mathematical finance and software engineering. He is the author of Computational Finance: Numerical Methods for Pricing Financial Derivatives. His current interests include Monte Carlo simulation, derivative valuation techniques, and Microsoft technologies.

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