Computational Finance

Numerical Methods for Pricing Financial Instruments

Nonfiction, Computers, Advanced Computing, Engineering, Computer Engineering, Business & Finance, Finance & Investing, Finance
Cover of the book Computational Finance by George Levy, DPhil, University of Oxford, Elsevier Science
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Author: George Levy, DPhil, University of Oxford ISBN: 9780080472270
Publisher: Elsevier Science Publication: December 17, 2003
Imprint: Butterworth-Heinemann Language: English
Author: George Levy, DPhil, University of Oxford
ISBN: 9780080472270
Publisher: Elsevier Science
Publication: December 17, 2003
Imprint: Butterworth-Heinemann
Language: English

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.

  • Enables reader to incorporate advanced financial modelling techniques in Windows compatible software
  • Aids the development of bespoke software solutions covering GARCH volatility modelling, derivative pricing with Partial Differential Equations, VAR, bond and stock options
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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