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SSRNPortfolio & Allocation

ML Beats Benchmark Models in Stock Beta Estimation

Machine learning models, especially random forests, are more effective than traditional models in predicting market trends and reducing errors, improving market-neutral strategies and minimum variance portfolios.

Featured in No. 14 on 30 Aug 2023 ·

Released
1 Oct 2021
First featured
No. 14 · 30 Aug 2023
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 4551604

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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