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Intelligent Forecasts in Portfolio Optimization

The study proposes an optimization framework for the top 500 U.S. stocks, emphasizing the use of characteristic information for stable weights and consistent outperformance.

Featured in No. 71 on 23 Oct 2024 ·

Released
21 Mar 2023
First featured
No. 71 · 23 Oct 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 4994190

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

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