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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| Format: | Thesis |
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Curtin University
2024
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| Online Access: | http://hdl.handle.net/20.500.11937/95690 |