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Mastering R for Quantitative Finance

You're reading from  Mastering R for Quantitative Finance

Product type Book
Published in Mar 2015
Publisher
ISBN-13 9781783552078
Pages 362 pages
Edition 1st Edition
Languages
Toc

Table of Contents (20) Chapters close

Mastering R for Quantitative Finance
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Time Series Analysis 2. Factor Models 3. Forecasting Volume 4. Big Data – Advanced Analytics 5. FX Derivatives 6. Interest Rate Derivatives and Models 7. Exotic Options 8. Optimal Hedging 9. Fundamental Analysis 10. Technical Analysis, Neural Networks, and Logoptimal Portfolios 11. Asset and Liability Management 12. Capital Adequacy 13. Systemic Risks Index

Greeks – the link back to the vanilla world


As we explained in the introductory part of this chapter, Greeks are partial derivatives. Some important Greeks are as follows:

  • delta: This denotes the DvalueDspot, which is the change of the option price with respect to the change of the underlying spot price

  • gamma: This denotes the DdeltaDspot

  • vega: This denotes the DvalueDvolatility

  • theta: This denotes the DvalueDtime

  • rho: This denotes the DvalueDinterest rate

In some simple cases, these partial derivatives can be found analytically. For example, the fOptions package includes the GBSGreeks function that gives the Greeks for vanillas.

Analytical Greeks are convenient; however, there are two problems with them. The first problem is that market-traded parameters are not changing in infinitesimal small increments. For example, on the New York Stock Exchange, the smallest possible change in the stock price is one cent. The stock price either changes at least one cent or there is no change at all. On the...

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