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Introduction to R for Quantitative Finance

You're reading from Introduction to R for Quantitative Finance R is a statistical computing language that's ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike.

Product type Paperback

Published in Nov 2013

Publisher Packt

ISBN-13 9781783280933

Length 164 pages

Edition 1st Edition

Languages

R

Concepts

Financial Technology

Table of Contents (17) Chapters

Introduction to R for Quantitative Finance

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Preface

1. Time Series Analysis FREE CHAPTER

2. Portfolio Optimization

3. Asset Pricing Models

4. Fixed Income Securities

5. Estimating the Term Structure of Interest Rates

6. Derivatives Pricing

7. Credit Risk Management

8. Extreme Value Theory

9. Financial Networks

References

Index

Summary

In this chapter, we have applied R to selected problems in time series analysis. We covered the different ways of representing time series data, used an ARMA model to forecast house prices, improved our basic minimum variance hedge ratio using a cointegration relationship, and employed a GARCH model for risk management purposes. In the next chapter, you'll learn how you can use R for constructing an optimal portfolio.

You have been reading a chapter from

Introduction to R for Quantitative Finance

Published in: Nov 2013

Publisher: Packt

ISBN-13: 9781783280933

© 2013 Packt Publishing Limited All Rights Reserved

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