Machine Learning for Capital Market Research and Portfolio Optimization

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Machine Learning for Capital Market Research and Portfolio Optimization

Selecting stocks from a large number of active stocks is a critical investment decision. In this study, traditional and machine learning techniques are employed to identify promising stocks. The proposed strategies incorporate historical price paths into momentum techniques and remove stocks with ex...

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Bibliographic Details
Main Author:	Aslam, Bilal
Format:	Thesis
Published:	Curtin University 2024
Online Access:	http://hdl.handle.net/20.500.11937/95690

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