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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

Table of Contents (20) Chapters

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

How R can help a lot


We start this chapter by showing some examples for exotic options, giving one possible classification. We will show examples from the fExoticOptions package and how the so-called Black-Scholes surface can be created for any derivative-pricing function. Afterwards, we will focus on the numerical estimation of the Greeks of any exotic derivative. Next, we will show the pricing of an exotic option that is not yet included in the fExoticOptions package.

We have chosen the Double-no-touch (DNT) binary option mainly because of its popularity on the foreign exchange (FX) markets and the many conclusions that are relevant even for other exotics. We will use AUDUSD as underlying because at the time of writing this chapter, there is a significant interest differential between the AUD and the USD interest rates, and we can show how to put these rates into the pricing functions. We will show a second way of calculating the price of a DNT by using static option replication arguments...

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