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Mastering R for Quantitative Finance

You're reading from   Mastering R for Quantitative Finance Use R to optimize your trading strategy and build up your own risk management system

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781783552078
Length 362 pages
Edition 1st Edition
Languages
Tools
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Toc

Table of Contents (15) Chapters Close

Preface 1. Time Series Analysis FREE CHAPTER 2. Factor Models 3. Forecasting Volume 4. Big Data – Advanced Analytics 5. FX Derivatives 6. Interest Rate Derivatives and Models 7. Exotic Options 8. Optimal Hedging 9. Fundamental Analysis 10. Technical Analysis, Neural Networks, and Logoptimal Portfolios 11. Asset and Liability Management 12. Capital Adequacy 13. Systemic Risks Index

Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Any command-line input or output is written as follows:

#generate the two time series of length 1000
set.seed(20140623)         #fix the random seed
N <- 1000                  #define length of simulation
x <- cumsum(rnorm(N))      #simulate a normal random walk
gamma <- 0.7               #set an initial parameter value
y <- gamma * x + rnorm(N)  #simulate the cointegrating series
plot(x, type='l')          #plot the two series
lines(y,col="red")

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "Another useful visualization exercise is to look at the Density on log-scale."

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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