Stock market analysis using persistent homology
Methods in machine learning have been used in recent decades to aid market participants in determining the future direction of stock markets, which is imperative for any investment decision to yield high financial returns and minimize risks. Several studies have integrated persistent homology into m...
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| Format: | text |
| Language: | English |
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Animo Repository
2025
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| Online Access: | https://animorepository.dlsu.edu.ph/etdm_math/12 https://animorepository.dlsu.edu.ph/context/etdm_math/article/1012/viewcontent/2025_Lim_Stock_market_analysis_using_persistent_homology.pdf |
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