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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
Languages
Tools
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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

Terminology and notations

As we will work with FX rates, it is important to clarify some related terms. Generally, we will denote spot FX rates by S, which measures the price of one currency (called base currency) in terms of another currency (called variable or quote currency). In other words, one unit of the base currency is equivalent to S unit of the variable currency. It is also important to understand how to read FX market quotes. An FX quote on a currency pair is denoted by the abbreviations of the two currencies: a three-letter code for the base currency, followed by another three-letter code for the variable currency. For example, EURUSD=1.25 means that 1 euro is worth 1.25 dollars. This is equivalent to the quote USDEUR=0.8, which means that 1 dollar is worth 0.8 euros. Usually, it depends on historical market conventions that decide which currency is treated as the base currency in a given FX-pair.

In Chapter 4, Big Data – Advanced Analytics, we have already seen how to...

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