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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

Market risk


The risk for an investor to encounter losses due to changes in overall performance of the market in which he has invested, is known as market risk. Market risk is a kind of systematic risk which cannot be tackled with diversification. It may be hedged. The risks happening due to recessions, political instability, interest rate changes, natural disasters, and terrorist attacks are examples of market risks. Market risks are measured differently for banks, individual stocks, portfolios, and so on.

Let us consider how market risks are measured for individual securities. The market risk of a stock which is a part of a portfolio is measured as the contribution of a security in the overall risk of the portfolio. The individual stock risk is measured by the beta coefficient, which is the volatility of stock with respect to the market.

Let us run regression analysis on stock IBM as dependent variable and GPSC index as the independent variable and try to estimate the beta. It can be done...

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