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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

Concepts

Financial Technology

Authors (2):

Dr. Param Jeet

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

Credit spread

Credit risk is one of the major problems for financial institutions. The major cause for this is credit quality, and credit spread values help to understand credit risk depending upon the credit quality. Credit spread is an important concept in institutional trading as credit spread depends upon the quality or rating of bonds. It is the difference in bond yield of two bonds with similar maturity but with different bond ratings. We are going to use the CreditMetrics package for this, which can be installed and imported to the R workspace using the following two commands:

> install.packages('CreditMetrics') 
> library('CreditMetrics')

Credit spread is calculated using cm.cs(), which has just two parameters. The first parameter is the one-year migration matrix for some institution or government which issues credit and the second parameter is loss given default (LGD), which means maximum loss if the obligor of credit defaults. Normally, credit with rating AAA is on the top...

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Authors (2)

Dr. Param Jeet

Dr. Param Jeet is a Ph.D. in mathematics from one of India's leading technological institute in Madras (IITM), India. Dr. Param Jeet has a couple of mathematical research papers published in various international journals. Dr. Param Jeet has been into the analytics industry for the last few years and has worked with various leading multinational companies as well as consulted few of companies as a data scientist.

See other products by Dr. Param Jeet

PRASHANT VATS

Prashant Vats is a masters in mathematics from one of India's leading technological institute, IIT Mumbai. Prashant has been into analytics industry for more than 10 years and has worked with various leading multinational companies as well as consulted few of companies as data scientist across several domain.

See other products by PRASHANT VATS

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