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English
Butterworth-Heinemann Ltd
17 December 2003
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.
By:   , , , , , , , , , , , ,
Imprint:   Butterworth-Heinemann Ltd
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 165mm,  Spine: 29mm
Weight:   910g
ISBN:   9780750657228
ISBN 10:   0750657227
Series:   Quantitative Finance
Pages:   460
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Using Numerical Software Components with Microsoft Windows: Introduction; Dynamic Link Libraries (DLLs); ActiveX and COM; A financial derivative pricing example; ActiveX components and numerical optimization; XML and transformation using XSL; Epilogue; Pricing Assets: Introduction; Analytical methods and single asset European options; Numeric methods and single asset American options; Monte Carlo simulation; Multiasset European and American options; Dealing with missing data; Financial Econometrics: Introduction; GARCH models; Nonlinear GARCH; GARCH conditional probability distributions; Maximum likelihood parameter estimation; Analytic derivatives of the log likelihood; GJR-GARCH algorithms; GARCH software; GARCH process identification; Multivariate time series; Appendices.

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.

Reviews for Computational Finance: Numerical Methods for Pricing Financial Instruments

There are a number of books that describe the numerical methods available for solving the resultant equations in each of these areas. But the final step of coding the numerical models in a suitable environment has not, up to this point, been particularly well covered. Until now. My next choice, Computational Finance: Numerical Methods for Pricing Financial Instruments, written by George Levy and published by Elsevier Butterworth Heinemann as part of the Elsevier finance series, does precisely that. It also includes a CD full of code and examples in environments including Visual Basic in Excel, C, C++, as well as more advanced environments such as HTML, XML, Delphi and C#.net. This is the first in what I expect will become a growing area, which may mean that financial engineering coders will finally be able to throw out their old copies of Numerical Recipes. One of the Top Ten financial engineering titles published in 2003-2004 - Richard Norgate, Ph.D., Financial Engineering News


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