In Computational Finance Using C and C# George Levy raises computational finance to the next level using the languages of both standard C and C#. The inclusion of both these languages enables readers to match their use of the book to their firms internal software and code requirements. Levy also provides derivatives pricing information for:
equity derivates: vanilla options, quantos, generic equity basket options
interest rate derivatives: FRAs, swaps, quantos
foreign exchange derivatives: FX forwards, FX options
credit derivatives: credit default swaps, defaultable bonds, total return swaps.
Computational Finance Using C and C# by George Levy is supported by extensive web resources. Available for purchase on the multi-tier website are e versions of this book and Levys first book, Computational Finance: Numerical Methods for Pricing Financial Derivatives. Purchasers of the print or e-book can download free software consisting of executable files, configuration files, and results files. With these files the user can run the example portfolio application in Chapter 8 and change the portfolio composition and the attributes of the deals.
In addition, Upgrade Software is available on the website for a small fee, and includes:
Code to run all the C, C# and Excel examples in the book
Complete C source code for the Analytics_Mathlib maths library that is used in the book
C# source code, market data and portfolio files for the portfolio application described in Chapter 8
All the C/C# software can be compiled using either Visual Studio .NET 2005, or the freely available Microsoft Visual C#/C++ 2005 Express Editions.
With this software, the user can open the files and create new deals, new instruments, and change the attributes of the deals by editing the code and recompiling it. This serves as a template that a user can run to customize the deals for their personal, everyday use.
* Complete financial instrument pricing code in standard C and C# available to book buyers on companion website
* Illustrates the use of C# design patterns, including dictionaries, abstract classes, and .NET InteropServices.
About the Author
George Levy has a doctorate in mathematical physics from Oxford University. For 11 years he worked at the Numerical Algorithms Group NAG, developing mathematical and financial software. Currently he works as a consultant at SunGard developing software for estimating financial risk. He has provided technical consultancy to numerous financial institutions, and has published articles on numerical modelling, mathematical finance and software engineering. He is the author of Computational Finance: Numerical Methods for Pricing Financial Derivatives. His current interests include Monte Carlo simulation, derivative valuation techniques, and Microsoft technologies.