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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

Chapter 1.  Introduction to R

In this chapter, we will be discussing basic R concepts. This will serve as the background for upcoming chapters. We are not going to discuss each and every concept in detail for R. This chapter is meant for people who do not have any knowledge of the R language or beginners who are looking to pursue a career in quantitative finance or want to use R for quantitative financial analysis. This chapter can give you a start in learning how to write programs in R, and for writing complex programs, you can explore other books.

This chapter covers the following topics:

  • The need for R

  • How to download/install R

  • How to install packages

  • Data types

  • Import and export of different data types

  • How to write code expressions

  • Functions

  • How to execute R programs

  • Loops (for, while, if, and if...else)

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Learning Quantitative Finance with R
Published in: Mar 2017 Publisher: Packt ISBN-13: 9781786462411
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