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Computational Finance Using C and C# (Quantitative Finance)
 
 

Computational Finance Using C and C# (Quantitative Finance) (Hardcover)

by Levy (Author)
5.0 out of 5 stars  See all reviews (1 customer review)
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Product Description

Review

"Think of Baxter and Rennie, add the pricing models from Wilmott and, to illustrate each model, Levy's own Numerical Recipes in C and C#. Levy's book is written in precise mathematical language, covering all types of derivative products and illustrating the state-of-the-art resolution methods for pricing. As such, it is set to become a classic amongst serious quants."
- Professor Carol Alexander, Chair of Risk Management and Director of Research, ICMA Centre, Business School, The University of Reading, UK


Product Description

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 firm's 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 Levy's 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.

Inside This Book (Learn More)
Browse Sample Pages
Front Cover | Copyright | Table of Contents | Excerpt | Index
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1 of 1 people found the following review helpful:
5.0 out of 5 stars Great book for financial maths and models, and then the numerical recipes too!, 3 Aug 2008
By Joe Moorhouse - See all my reviews
(REAL NAME)   
As a Physicist, this book was just what I was looking for. The mathematical formulation of problems is clear without sacrificing rigour. Useful proofs - that I have found frustratingly missing in other books - are supplied, often from first principles, and a friendly appendix of useful background mathematical results is given. But the book also steers firmly away from any form of pedantry (whilst giving references to help readers delve into the more abstract areas of trading theory if the mood takes them). Numerical algorithms and models are authoritatively covered, and I found that incorporating the final step - to the code itself - was extremely helpful. Most of all I found it invaluable to have mathematical formulation, models and algorithms and the code covered all in one book.
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