Financial Instrument Pricing Using C++
Wiley Finance Series

1. Edition June 2004
432 Pages, Hardcover
Wiley & Sons Ltd
Short Description
This book will help individuals design and implement robust and flexible software for applications (using C++) for financial instrument pricing problems. Designing and Implementing Software for Financial Instrument Pricing takes a practical approach to this topic. It has been written for those involved in designing and implementing numerical models for financial derivative products.
One of the best languages for the development of financial engineering and instrument pricing applications is C++. This book has several features that allow developers to write robust, flexible and extensible software systems. The book is an ANSI/ISO standard, fully object-oriented and interfaces with many third-party applications. It has support for templates and generic programming, massive reusability using templates ('write once') and support for legacy C applications.
In this book, author Daniel J. Duffy brings C++ to the next level by applying it to the design and implementation of classes, libraries and applications for option and derivative pricing models. He employs modern software engineering techniques to produce industrial-strength applications:
* Using the Standard Template Library (STL) in finance
* Creating your own template classes and functions
* Reusable data structures for vectors, matrices and tensors
* Classes for numerical analysis (numerical linear algebra ...)
* Solving the Black Scholes equations, exact and approximate solutions
* Implementing the Finite Difference Method in C++
* Integration with the 'Gang of Four' Design Patterns
* Interfacing with Excel (output and Add-Ins)
* Financial engineering and XML
* Cash flow and yield curves
Included with the book is a CD containing the source code in the Datasim Financial Toolkit. You can use this to get up to speed with your C++ applications by reusing existing classes and libraries.
'Unique... Let's all give a warm welcome to modern pricing tools.'
-- Paul Wilmott, mathematician, author and fund manager
PART I TEMPLATE PROGRAMMING IN C++.
2 A Gentle Introduction to Templates in C++.
3 An Introduction to the Standard Template Library.
4 STL for Financial Engineering Applications.
5 The Property Pattern in Financial Engineering.
PART II BUILDING BLOCK CLASSES.
6 Arrays, Vectors and Matrices.
7 Arrays and Matrix Properties.
8 Numerical Linear Algebra.
9 Modelling Functions in C++.
10 C++ Classes for Statistical Distributions.
PART III ORDINARY AND STOCHASTIC DIFFERENTIAL EQUATIONS.
11 Numerical Solution of Initial Value Problems: Fundamentals.
12 Stochastic Processes and Stochastic Differential Equations.
13 Two-Point Boundary Value Problems.
14 Matrix Iterative Methods.
PART IV PROGRAMMING THE BLACK-SCHOLES ENVIRONMENT.
15 An Overview of Computational Finance.
16 Finite Difference Schemes for Black-Scholes.
17 Implicit Finite Difference Schemes for Black-Scholes.
18 Special Schemes for Plain and Exotic Options.
19 My First Finite Difference Solver.
20 An Introduction to ADI and Splitting Schemes.
21 Numerical Approximation of Two-Factor Derivative Models.
PART V DESIGN PATTERNS.
22 A C++ Application for Displaying Numeric Data.
23 Object Creational Patterns.
24 Object Structural Patterns.
25 Object Behavioural Patterns.
PART VI DESIGN AND DEPLOYMENT ISSUES.
26 An Introduction to the Extensible Markup Language.
27 Advanced XML and Programming Interface.
28 Interfacing C++ and Excel.
29 Advanced Excel Interfacing.
30 An Extended Application: Option Strategies and Portfolios.
Appendices.
A1 My C++ refresher.
A2 Dates and other temporal types.
References.
Index.