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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主要作者: Lim, Lara Gabrielle F.
格式: text
語言:English
出版: Animo Repository 2025
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在線閱讀: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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