Hybrid Machine Learning for Stock Volatility Prediction
A study uses machine learning to analyze stock market volatility, finding the RF-LASSO model to be the most effective predictor.
Featured in No. 79 on 18 Dec 2024 · on release day
- Released
- 18 Dec 2024
- First featured
- No. 79 · 18 Dec 2024
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 24
- Identifier
- RePEc:eee:finana:v:96:y:2024:i:pb:s1057521924006434
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).