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
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
Our site uses cookies and similar technologies to offer you a better experience. We use analytical cookies (our own and third party) to understand and improve your browsing experience, and advertising cookies (our own and third party) to send you advertisements in line with your preferences. To modify or opt-out of the use of some or all of our cookies, please go to “Manage Cookies” or view our Cookie Policy to find out more. By clicking “Accept all” you consent to the use of these cookies.