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Mastering R for Quantitative Finance

You're reading from   Mastering R for Quantitative Finance Use R to optimize your trading strategy and build up your own risk management system

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781783552078
Length 362 pages
Edition 1st Edition
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Toc

Table of Contents (15) Chapters Close

Preface 1. Time Series Analysis 2. Factor Models FREE CHAPTER 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

Chapter 5. FX Derivatives

FX derivatives (or foreign exchange derivatives) are financial derivative products whose payoff is a function of the exchange rate of two (or more) currencies. Like derivatives in general, FX derivatives can be grouped in three main categories: futures, swaps, and options. In this chapter, we will only deal with option-type derivatives. We will start with a straightforward generalization of the basic Black-Scholes model, and will show how to price a simple European call or put currency option. Afterwards, we will discuss the pricing of exchange options and quanto options.

Throughout this chapter, we will assume that you have some basic knowledge about derivative pricing, especially the Black-Scholes model and risk-neutral valuation. Occasionally, we will refer to some mathematic relationships often used in quantitative finance (such as Itô's lemma or Girsanov theorem), but a deep understanding of these theorems is not essential for this chapter...

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