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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

Derivatives Pricing

F. Black and M. Scholes (1973), The Pricing of Options and Corporate Liabilities, The Journal of Political Economy 81, No. 3, 637-654.
J. Cox, S. Ross, and M. Rubinstein (1979), Option Pricing: A Simplified Approach, Journal of Financial Economics 7, No. 3, 229-263.
D. Wuertz and many others (2012), fOptions: Basics of Option Valuation, R package version 2160.82. Available at http://CRAN.R-project.org/package=fOptions.
R. C. Merton (1973), Theory of Rational Option Pricing, The Bell Journal of Economics and Management Science 4, No. 1, 141-183.
R. Rebonato (1999), Volatility and Correlation, John Wiley, Chichester.
S. Subramanian (2013), GUIDE: GUI for DErivatives in R, R package version 0.99.5. Available at http://CRAN.R-project.org/package=GUIDE.
J. Hull (2011), Options, Futures, and Other Derivatives, Prentice Hall, 8^th edition.

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