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Learning Quantitative Finance with R

You're reading from   Learning Quantitative Finance with R Implement machine learning, time-series analysis, algorithmic trading and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781786462411
Length 284 pages
Edition 1st Edition
Languages
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Authors (2):
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PRASHANT VATS PRASHANT VATS
Author Profile Icon PRASHANT VATS
PRASHANT VATS
Dr. Param Jeet Dr. Param Jeet
Author Profile Icon Dr. Param Jeet
Dr. Param Jeet
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to R FREE CHAPTER 2. Statistical Modeling 3. Econometric and Wavelet Analysis 4. Time Series Modeling 5. Algorithmic Trading 6. Trading Using Machine Learning 7. Risk Management 8. Optimization 9. Derivative Pricing

Who this book is for

This book is written with the intent to pass knowledge to people who are interested in learning R and its application in analytics. However, we have covered examples from finance.  This book covers basic to complex finance examples, along with varying degrees of complexity of R coding. This book does not expect you to have prior R programming knowledge, however this expects you to have little bit knowledge of mathematical analytical concepts. Even if you are well versed with R, this book can still be of great help to you as it explains various live examples from the data analytics industry, in particular, capital markets.

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