Financial Applications using Excel Add-in Development in C / C++: Edition 2

Steve Dalton

2007-ж. апр. · John Wiley & Sons саткан

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Financial Applications using Excel Add-in Development in C/C++ is a must-buy book for any serious Excel developer.Excel is the industry standard for financial modelling, providing a number of ways for users to extend the functionality of their own add-ins, including VBA and C/C++. This is the only complete how-to guide and reference book for the creation of high performance add-ins for Excel in C and C++ for users in the finance industry. Steve Dalton explains how to apply Excel add-ins to financial applications with many examples given throughout the book. It also covers the relative strengths and weaknesses of developing add-ins for Excel in VBA versus C/C++, and provides comprehensive code, workbooks and example projects on the accompanying CD-ROM. The impact of Excel 2007’s multi-threaded workbook calculations and large grids on add-in development are fully explored. Financial Applications using Excel Add-in Development in C/C++ features:

• Extensive example codes in VBA, C and C++, explaining all the ways in which a developer can achieve their objectives.
• Example projects that demonstrate, from start to finish, the potential of Excel when powerful add-ins can be easily developed.
• Develops the readers understanding of the relative strengths and weaknesses of developing add-ins for Excel in VBA versus C/C++.
• A CD-ROM with several thousand lines of example code, numerous workbooks, and a number of complete example projects.

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About the author

STEVE DALTON is currently head of interest rate options at GFI in London. Steve has a degree in mathematics from Queen Mary College, University of London, and over 20 years experience in interest rate derivatives and IT. He pioneered the use of real-time spreadsheets in the mid 1980s for arbitrage and derivatives pricing. He founded Eigensys Ltd in the late 1980s, which specialises in software and consultancy in this field and in the use of Excel for demanding real-time applications.