Practical C++ Financial Programming
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Practical C++ Financial Programming

 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781430267164
Veröffentl:
2015
Einband:
eBook
Seiten:
396
Autor:
Carlos Oliveira
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

Practical C++ Financial Programming is a hands-on book for programmers wanting to apply C++ to programming problems in the financial industry. The book explains those aspects of the language that are more frequently used in writing financial software, including the STL, templates, and various numerical libraries. The book also describes many of the important problems in financial engineering that are part of the day-to-day work of financial programmers in large investment banks and hedge funds. The author has extensive experience in the New York City financial industry that is now distilled into this handy guide. Focus is on providing working solutions for common programming problems. Examples are plentiful and provide value in the form of ready-to-use solutions that you can immediately apply in your day-to-day work. You'll learn to design efficient, numerical classes for use in finance, as well as to use those classes provided by Boost and other libraries. You'll see examples of matrix manipulations, curve fitting, histogram generation, numerical integration, and differential equation analysis, and you'll learn how all these techniques can be applied to some of the most common areas of financial software development. These areas include performance price forecasting, optimizing investment portfolios, and more. The book style is quick and to-the-point, delivering a refreshing view of what one needs to master in order to thrive as a C++ programmer in the financial industry. Covers aspects of C++ especially relevant to financial programming. Provides working solutions to commonly-encountered problems in finance. Delivers in a refreshing and easy style with a strong focus on the practical.
Practical C++ Financial Programming is a hands-on book for programmers wanting to apply C++ to programming problems in the financial industry. The book explains those aspects of the language that are more frequently used in writing financial software, including the STL, templates, and various numerical libraries. The book also describes many of the important problems in financial engineering that are part of the day-to-day work of financial programmers in large investment banks and hedge funds. The author has extensive experience in the New York City financial industry that is now distilled into this handy guide. 

Focus is on providing working solutions for common programming problems. Examples are plentiful and provide value in the form of ready-to-use solutions that you can immediately apply in your day-to-day work. You’ll learn to design efficient, numerical classes for use in finance, as well as to use those classes provided by Boost and other libraries. You’ll see examples of matrix manipulations, curve fitting, histogram generation, numerical integration, and differential equation analysis, and you’ll learn how all these techniques can be applied to some of the most common areas of financial software development. These areas include performance price forecasting, optimizing investment portfolios, and more. The book style is quick and to-the-point, delivering a refreshing view of what one needs to master in order to thrive as a C++ programmer in the financial industry. 

  • Covers aspects of C++ especially relevant to financial programming.
  • Provides working solutions to commonly-encountered problems in finance.
  • Delivers in a refreshing and easy style with a strong focus on the practical.

  1. The Fixed-Income Market
  2. The Equities Market
  3. C++ Programming Techniques in Finance
  4. Common Libraries for Financial Code
  5. Designing Numerical Classes
  6. Plotting Financial Data
  7. Linear Algebra
  8. Interpolation
  9. Calculating Roots of Equations
  10. Numerical Integration
  11. Solving Partial Differential Equations
  12. Algorithm Optimization
  13. Portfolio Optimization
  14. Monte Carlo Methods for Equity markets
  15. Extending Financial Libraries
  16. C++ with R and Octave
  17. Multithreading
  18. Appendix A: C++14 Features

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