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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_7

7. Stock Market Simulation

Tshepo Chris Nokeri1  
(1)
Pretoria, South Africa
 

The stock exchange market typically responds to socio-economic conditions. The active participation of key market players undoubtedly creates liquidity in the market. There are other factors that influence variations in the market besides the large transactions that key market makers make. For instance, markets react to news of social events, economic events, natural disasters, pandemics, etc. In certain conditions, the effects of those events drive price movement drastically. Systematic ...

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Publisher Resources

ISBN: 9781484271100Purchase LinkPublisher Website