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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

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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