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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios

by Tshepo Chris Nokeri
May 2021
Intermediate to advanced
192 pages
2h 42m
English
Apress
Content preview from Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021
T. C. NokeriImplementing Machine Learning for Financehttps://doi.org/10.1007/978-1-4842-7110-0_5

5. Stock Clustering

Tshepo Chris Nokeri1  
(1)
Pretoria, South Africa
 

A combination of stocks that an investor selects influences the investment portfolio’s performance. Some assets are highly risky to invest in, but others are not. High-risk assets are those whose prices change drastically in short periods. To secure capital, investors may select groups of stocks, rather than investing in a single stock or class of stocks. Given that there are many stocks to choose from, investors ordinarily find it arduous to single out a group of stocks with optimal performance. ...

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Publisher Resources

ISBN: 9781484271100Purchase LinkPublisher Website