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Quantitative Finance - An Object-Oriented Approach in C++ (Hardcover) Loot Price: R2,734
Discovery Miles 27 340
Quantitative Finance - An Object-Oriented Approach in C++ (Hardcover): Erik Schlogl

Quantitative Finance - An Object-Oriented Approach in C++ (Hardcover)

Erik Schlogl; Series edited by Dilip B. Madan, M. A. H. Dempster

Series: Chapman and Hall/CRC Financial Mathematics Series

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Loot Price R2,734 Discovery Miles 27 340 | Repayment Terms: R256 pm x 12*

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Quantitative Finance: An Object-Oriented Approach in C++ provides readers with a foundation in the key methods and models of quantitative finance. Keeping the material as self-contained as possible, the author introduces computational finance with a focus on practical implementation in C++. Through an approach based on C++ classes and templates, the text highlights the basic principles common to various methods and models while the algorithmic implementation guides readers to a more thorough, hands-on understanding. By moving beyond a purely theoretical treatment to the actual implementation of the models using C++, readers greatly enhance their career opportunities in the field. The book also helps readers implement models in a trading or research environment. It presents recipes and extensible code building blocks for some of the most widespread methods in risk management and option pricing. Web ResourceThe author's website provides fully functional C++ code, including additional C++ source files and examples. Although the code is used to illustrate concepts (not as a finished software product), it nevertheless compiles, runs, and deals with full, rather than toy, problems. The website also includes a suite of practical exercises for each chapter covering a range of difficulty levels and problem complexity.

General

Imprint: Chapman & Hall/CRC
Country of origin: United States
Series: Chapman and Hall/CRC Financial Mathematics Series
Release date: November 2013
First published: 2014
Authors: Erik Schlogl
Series editors: Dilip B. Madan • M. A. H. Dempster
Dimensions: 234 x 156 x 26mm (L x W x T)
Format: Hardcover
Pages: 354
ISBN-13: 978-1-58488-479-8
Categories: Books > Science & Mathematics > Mathematics > General
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LSN: 1-58488-479-7
Barcode: 9781584884798

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