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Learning Quantitative Finance with R

You're reading from   Learning Quantitative Finance with R Implement machine learning, time-series analysis, algorithmic trading and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781786462411
Length 284 pages
Edition 1st Edition
Languages
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Authors (2):
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PRASHANT VATS PRASHANT VATS
Author Profile Icon PRASHANT VATS
PRASHANT VATS
Dr. Param Jeet Dr. Param Jeet
Author Profile Icon Dr. Param Jeet
Dr. Param Jeet
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to R FREE CHAPTER 2. Statistical Modeling 3. Econometric and Wavelet Analysis 4. Time Series Modeling 5. Algorithmic Trading 6. Trading Using Machine Learning 7. Risk Management 8. Optimization 9. Derivative Pricing

Hedging


Hedging is basically taking a position in the market to reduce the risk. It is a strategy built to reduce the risk in investment using call/put options/futures short selling. The idea of hedging is to reduce the volatility of a portfolio by reducing the potential risk to loss. Hedging especially protects small businesses against catastrophic or extreme risk by protecting the cost at the time of distress. The tax laws also benefit those who do hedging. For firms who do hedging, it works like insurance and they have more independence to make their financial decisions without thinking about the risks.

Now, let us consider some scenarios of hedging:

  • Currency risk: Also known as exchange-rate risk, it happens due to fluctuations in the prices of one currency with respect to another. Investors or companies who operate across the world are exposed to currency risk, which may lead to profit and losses. This risk can be reduced by hedging, which can prevent losses happening due to price fluctuation...

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