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 financeCreating your own template classes and functionsReusable data structures for vectors, matrices and tensorsClasses for numerical analysis (numerical linear algebra ?)Solving the Black Scholes equations, exact and approximate solutionsImplementing the Finite Difference Method in C++Integration with the ?Gang of Four? Design PatternsInterfacing with Excel (output and Add-Ins)Financial engineering and XMLCash 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

This book is a detailed and step-by-step introduction to the mathematical foundations of ordinary and partial differential equations, their approximation by the finite difference method and applications to computational finance. The book is structured so that it can be read by beginners, novices and expert users. Part A Mathematical Foundation for One-Factor Problems Chapters 1 to 7 introduce the mathematical and numerical analysis concepts that are needed to understand the finite difference method and its application to computational finance. Part B Mathematical Foundation for Two-Factor Problems Chapters 8 to 13 discuss a number of rigorous mathematical techniques relating to elliptic and parabolic partial differential equations in two space variables. In particular, we develop strategies to preprocess and modify a PDE before we approximate it by the finite difference method, thus avoiding ad-hoc and heuristic tricks. Part C The Foundations of the Finite Difference Method (FDM) Chapters 14 to 17 introduce the mathematical background to the finite difference method for initial boundary value problems for parabolic PDEs. It encapsulates all the background information to construct stable and accurate finite difference schemes. Part D Advanced Finite Difference Schemes for Two-Factor Problems Chapters 18 to 22 introduce a number of modern finite difference methods to approximate the solution of two factor partial differential equations. This is the only book we know of that discusses these methods in any detail. Part E Test Cases in Computational Finance Chapters 23 to 26 are concerned with applications based on previous chapters. We discuss finite difference schemes for a wide range of one-factor and two-factor problems. This book is suitable as an entry-level introduction as well as a detailed treatment of modern methods as used by industry quants and MSc/MFE students in finance. The topics have applications to numerical analysis, science and engineering. More on computational finance and the author's online courses, see www.datasim.nl.

C++ is one of the best languages for the development of financial engineering and instrument pricing applications. It has several features that allow developers to write robust, flexible and extensible software systems. It 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.This book applies C++ to the design and implementation of classes, libraries and latest applications for option and derivative pricing models. The new edition follows the same structure as used in the first edition but is completely updated to reflect current practice and the numerous new developments that have taken place in computational finance over the past 5 years. It features over 50% new material including brand new code libraries supplied by Boost C++ (a repository for free peer-reviewed portable C++ source libraries), more extensive examples than used in the first edition, as well as calibration techniques that will bring readers right up to date with the latest programming technology. It supports the latest pricing and numerical techniques quants use as well as parallel and multithreading applications.Using the most up to date models and code it 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 With the forthcoming launch of C++0x there has never been a better time for a revised edition to this C++ classic.The book is accompanied by a CD ROM which includes the most up to date source code so readers can implement all models immediately.

This is one of the first books that describe all the steps that are needed in order to analyze, design and implement Monte Carlo applications. It discusses the financial theory as well as the mathematical and numerical background that is needed to write flexible and efficient C++ code using state-of-the art design and system patterns, object-oriented and generic programming models in combination with standard libraries and tools.

Includes a CD containing the source code for all examples. It is strongly advised that you experiment with the code by compiling it and extending it to suit your needs. Support is offered via a user forum on www.datasimfinancial.com where you can post queries and communicate with other purchasers of the book.

This book is for those professionals who design and develop models in computational finance. This book assumes that you have a working knowledge of C ++.

The object-oriented programming language C++ is the de facto standard for developing real-life applications for Quantitative Finance and Financial Engineering. This language was designed by Dr. Bjarne Stroustup in the early 1990's and it has become one of the most popular and robust languages for many important areas such as medical systems, computer graphics, telecommunications and in application areas where performance, accuracy and interoperability issues play a key role. The general expectation is that its importance will grow in the coming years.

C++ has also become the de facto standard for quant development and analysis. Knowledge of C++ is mandatory for many openings and job positions in Quantitative Finance. This book is the first book that discusses many of the issues that you need to know in order to be able to design and implement real-world applications. We focus on a number of critical topics: Learning the essential syntax of C++ ('getting the fundamentals right') Designing and implementing generic data structures using STL Numerous applications (lattices, finite difference, Monte Carlo, etc) Libraries, design patterns (GOF, POSA) and reusable software frameworks Introduction to COM and C++ to Excel interoperability

Each chapter deals with one major topic. Furthermore, each chapter builds only on the results of the chapters preceding it, so that we keep the amount of forward referencing to a minimum. We discuss all the syntax that is discussed in the IT books and we apply it to QF applications. This book is self-contained and we advise its use in combination with the well-known standard reference work by Dr. Stroustrup.

Last, but not least, each chapterconcludes with exercises and projects to test what you learned in that chapter. The exercises are based on the tactic: 'get it working, then get it right, then get it optimised'. Furthermore, these exercises will also hopefully prepare you for your job interviews!

Included with the book is a CD will full source code, including "working code" for lattice, finite difference and Monte Carlo methods for one-factor and two-factor pricing models as well as an easy-to-use C++ visualization package to help you examine the output from these numerical methods.