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RePEcML & AI Methods

Predicting Financial Market Stress with Machine Learning

Tree-based machine learning models predict the full distribution of financial market stress 27% better than traditional time-series methods, with macro uncertainty and monetary policy expectations as key drivers.

Featured in No. 132 on 25 Sep 2026 · 8 days after release

Released
17 Sep 2026
First featured
No. 132 · 25 Sep 2026
Published in
Not yet, as far as Semantic Scholar knows
Fanfare
3 of 5
Identifier
RePEc:cpr:ceprdp:20439
Authors
Inaki Aldasoro et al.

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

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