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Can I read Options and Derivatives Programming in C++ : Algorithms and Programming Techniques for the Financial Industry on EtoBox?

Options and Derivatives Programming in C++ : Algorithms and Programming Techniques for the Financial Industry by CARLOS OLIVEIRA (auth.) is a nonfiction available to read on EtoBox.

What is Options and Derivatives Programming in C++ : Algorithms and Programming Techniques for the Financial Industry about?

This is a hands-on book for programmers wanting to learn how C++ is used in the development of solutions for options and derivatives trading in the financial industry. As an important part of the financial industry, options and derivatives trading has become increasingly sophisticated. Advanced trading techniques using financial derivatives have been used at banks, hedge funds, and pension funds. Because of stringent performance characteristics, most of these trading systems are developed using C++ as the main implementation language. __Options and Derivatives Programming in C++__ covers features that are frequently used to write financial software for options and derivatives, including the STL, templates, functional programming, and support for numerical libraries. New features introduced in the C++11 and C++14 standard are also covered: lambda functions, automatic type detection, custom literals, and improved initialization strategies for C++ objects. Readers will enjoy the how-to examples covering all the major tools and concepts used to build working solutions for quantitative finance. It includes advanced C++ concepts as well as the basic building libraries used by modern C++

Who reads Options and Derivatives Programming in C++ : Algorithms and Programming Techniques for the Financial Industry?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
CARLOS OLIVEIRA (auth.)
Publisher
Apress : Imprint : Apress
Published
2016
Language
EN
ISBN
9781484218136
Category
nonfiction
Subjects
Business, Programming, Computer Science

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