Booktopia has been placed into Voluntary Administration. Orders have been temporarily suspended, whilst the process for the recapitalisation of Booktopia and/or sale of its business is completed, following which services may be re-established. All enquiries from creditors, including customers with outstanding gift cards and orders and placed prior to 3 July 2024, please visit https://www.mcgrathnicol.com/creditors/booktopia-group/

Computational Finance

Numerical Methods for Pricing Financial Instruments

By: George Levy

Write A Review

eBook | 17 December 2003

At a Glance

Format
ePUB

eBook

RRP $159.50

$143.99

10%OFF

or 4 interest-free payments of $36.00 with

Instant Digital Delivery to your Booktopia Reader App

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.

Additional features such as:?working computer code, demonstration applications and also pdf versions of several research articles can be found on the companion site.

* 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
* Includes companion site