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Quantitative Trading with R

Understanding Mathematical and Computational Tools from a Quants Perspective

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Pages
292pages
Temps de lecture
11heures

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Quantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source programming language, providing readers with a step-by-step approach to understanding complex quantitative finance problems and building functional computer code. Inhaltsverzeichnis 1 An Overview 2 Tools of the Trade 3 Working with Data 4 Basic Statistics and Probability 5 Intermediate Statistics and Probability 6 Spreads, Betas and Risk 7 Backtesting with Quantstrat 8 High-Frequency Data 9 Options 10 Optimization

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Quantitative Trading with R, Harry Georgakopoulos

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Année de publication
2015
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