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Learning Quantitative Finance with R

You're reading from   Learning Quantitative Finance with R Implement machine learning, time-series analysis, algorithmic trading and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781786462411
Length 284 pages
Edition 1st Edition
Languages
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Authors (2):
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PRASHANT VATS PRASHANT VATS
Author Profile Icon PRASHANT VATS
PRASHANT VATS
Dr. Param Jeet Dr. Param Jeet
Author Profile Icon Dr. Param Jeet
Dr. Param Jeet
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Table of Contents (10) Chapters Close

Preface 1. Introduction to R FREE CHAPTER 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

Interest rate derivatives


We will use the GUIDE package to calculate the price for interest rate derivatives:

> install.packages("GUIDE") 
> library(GUIDE) 

The following command will open a pop-up window which requires all the parameters. Once you supply the required parameters in the pop-up window, it generates the interest rate derivative price:

>irswapvalue()

Parameters to be supplied in the pop-up window are as follows:

  • Notional: To be entered in decimals

  • Fixed rate: Entered in decimals, for example, 0.05 for 5%

  • Last spot rate: Entered in decimals, for example, 0.05 for 5 per cent

  • Months for first payment: Enter 3 for 3 months

  • Spot rates: Enter with comma separation, for example, 0.054, 0.056, 0.058

  • Frequency of spot rates: Chosen from continuous/quarterly/semi-annual/annual

  • Settlement frequency: Chosen from quarterly/semi-annual/annual

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