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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

Summary


In this chapter, we met the challenge of discussing one of the most beautiful and most difficult parts of financial math: derivative pricing. We learned in theory and in practice about generalizations of the Black-Scholes model for related problems. We learned how to use R and the Black-Scholes formula for currency options. We saw how easy it is to implement our own code for the Margrabe formula, which is an extension of the Black-Scholes model. We used this formula to price stock options, currency options, and exchange options. Finally, we discussed quanto options and realized that quantos can also be priced with the Margrabe formula.

If you found this chapter exciting, you will be enthusiastic about the next one, which is about a related topic, that is, interest rate derivatives.

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