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Beginning C++ for Financial Analysts

56,66 € Lieferbar in 5-7 Tagen


Beginning C++ for Financial Analysts is a primer for financial analysts and quantitative finance students who know finance but lack programming. Because most computational finance programs are written in C++, acquiring a pertinent subset of C++ programming skills is essential to success in the lucrative and burgeoning labor market for quants. Beginning C++ for Financial Analysts teaches financial practitioners and students precisely what they need to know to use C++ to do routine financial computations such as valuing complex exotic options by Monte Carlo simulation. As opposed to being a book for programmers who want to tailor their skills to work in the finance industry, this book is for those with financial backgrounds who are novice programmers. Its coverage of the C++ language but is limited to what quants need in their daily work, and its approach is hands-on tutorial. Lessons start from the presumption of zero knowledge and progress step by step through familiar examples from computational finance.Readers with a financial background will learn how to use modern C++11 to perform standard financial computations, including the following:


Titel: Beginning C++ for Financial Analysts
Autoren/Herausgeber: Tyler Brough
Ausgabe: 1st ed. 2016

ISBN/EAN: 9781484204887

Seitenzahl: 400
Format: 25,4 x 17,8 cm
Produktform: Taschenbuch/Softcover
Gewicht: 0 g
Sprache: Englisch

Tyler J. Brough is Assistant Professor of Finance in the Jon M. Huntsman School of Business at Utah State University. He holds a PhD in Finance from the University of Arizona, an MS in Finance from the University of Illinois at Urbana-Champaign, and a BS in Economics from Brigham Young University. He has published research in empirical finance in Financial Management, the Journal of Banking and Finance, the Journal of Trading, and other highly regarded academic journals. He programs in C++ for his research in financial economics and econometrics. In addition, for the last three years he has developed and taught a course in computational finance, in which he teaches the C++ programming language to students who typically have little prior programming experience. As a researcher in financial economics, he has extensive experience programming in C++ for the processing of massive data sets and for intense numerical programming for econometric analysis and Monte Carlo simulation. As an end user of the C++ programming language, he has learned what matters for financial computation and how to use real examples from finance to motivate the learning of C++.

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