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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

Summary


Now let us recap what we have learned so far in this chapter:

  • How it is very important for analysts pursuing their career in financial analytics to learn R

  • Installation of R and its packages

  • The basic objects in R are character, numeric, integer, complex, and logical

  • Commonly used data types in R are lists, matrices, arrays, factors, and DataFrames

  • Reading files from external data files such as CSV and XLSX, and particularly from online sources and databases in R

  • Writing files to CSV and XLSX from R

  • Writing different types of expression, such as constant, arithmetic, logical, symbols, assignments, and so on

  • Write user-defined functions

  • Ways of calling of user defined functions and inbuilt functions

  • Running R programs from the console window and by sourcing saved files

  • The use of conditional decision-making by using if and else statements

  • The use of loops such as for and while

You have been reading a chapter from
Learning Quantitative Finance with R
Published in: Mar 2017 Publisher: Packt ISBN-13: 9781786462411
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