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RePEcML & AI Methods

Enhancing a Multi-Factor Equity Strategy via Artificial Intelligence and Technical Indicators

Combining a five-factor model with gradient boosting and technical indicators for hedging, the strategy outperforms index buy-and-hold on Japanese stocks while maintaining interpretability.

Featured in No. 139 on 13 Nov 2026 · 4 days after release

Architecture diagram showing five-factor model inputs through gradient boosting to expected returns and portfolio ranking.
Fig. 2 Architecture of equity long model
Released
9 Nov 2026
First featured
No. 139 · 13 Nov 2026
Published in
Not yet, as far as Semantic Scholar knows
Fanfare
2 of 5
Identifier
RePEc:cfi:fseres:cf632
Authors
Daiya Mita and Akihiko Takahashi

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

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