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Learning Quantitative Finance with R

You're reading from  Learning Quantitative Finance with R

Product type Book
Published in Mar 2017
Publisher Packt
ISBN-13 9781786462411
Pages 284 pages
Edition 1st Edition
Languages
Authors (2):
Dr. Param Jeet Dr. Param Jeet
Profile icon Dr. Param Jeet
PRASHANT VATS PRASHANT VATS
Profile icon PRASHANT VATS
View More author details

Table of Contents (16) Chapters

Learning Quantitative Finance with R
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to R 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

Normalization


Normalization is done using the minmax concept to bring the various attributes on the same scale. It is calculated by the formula given here:

normalized = (x-min(x))/(max(x)-min(x))

So if we want to normalize the volume variable, we can do it by executing the following code:

> normalized = (Sampledata$Volume-+min(Sampledata$Volume))/(max(Sampledata$Volume)-+min(Sampledata$Volume)) 
> normalized 
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