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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

A general pricing approach


Exotic or not, there is one intrinsic feature that is always the same in every derivative product, that is, it is a function of other instruments, hence the name derivative. Thus, the price of a derivative is not independently developed as the outcome of a direct supply and demand; rather, it is given as an estimated construction cost. For example, the one month forward dollar price of a euro is highly dependent on the spot dollar price of the euro; the forward price is just the function of the spot price (and the interest rates).

If exactly the same benefits that are granted by holding a derivative can be constructed by a trading strategy that involves less complex instruments, then the derivative can be replicated. Derivatives are not like unique paintings; the forgery of a derivative has the very same value, while replicas are as good as the original. By using the no-arbitrage argument, Black and Scholes (1973) and Merton (1973) showed that the price of a derivative...

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