Search icon CANCEL
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
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

xts


xts is an extensible time series object which carries all the features of a zoo object. It consists of a matrix and index which has to be time-based. There are two ways of constructing xts objects: one is by calling as.xts and another is constructing the xts object from scratch.

Construction of an xts object using as.xts

Let us read a few lines of our sample data through zoo and construct the xts object by executing the following code:

> StockData <- read.zoo("DataChap4.csv",header = TRUE, sep = ",",format="%m/%d/%Y",nrows=3) 
> matrix_xts <- as.xts(StockData,dateFormat='POSIXct') 
> matrix_xts 

This gives the following output:

Volume

Adj.Close

Return

12/12/2016

615800

192.43

0.13

12/13/2016

6816100

198.15

2.97

12/14/2016

4144600

198.69

0.27

The composition of the xts object can be given by the following code:

> str(matrix_xts) 

This generates the following output:

An xts object on 2016-12-12/2016-12-14 contains the following:

  Data: num [1:3, 1:3]...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}