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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

Extreme value theory

E. Gilleland, M. Ribatet, and A. G. Stephenson (2013), A Software Review for Extreme Value Analysis, Extremes 16, 103-119.
A.J. McNeil, R. Frey, and P. Embrechts (2005), Quantitative Risk Management, Princeton University Press, Princeton.

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