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SSRNTrading, Microstructure & Execution

Machine Learning Execution Time in Asset Pricing

The research analyzes the execution time of machine learning models in empirical asset pricing, finding that XGBoost is the fastest and most accurate, and that reducing features and time observations can significantly cut execution time.

Featured in No. 25 on 8 Nov 2023 · 8 days after release

Released
31 Oct 2023
First featured
No. 25 · 8 Nov 2023
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 4623947

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

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