---
title: Machine Learning for European Stocks
url: https://www.ml-quant.com/papers/repec/spr-snbeco-v-3-y-2023-i-7-d-10-1007-s43546-023-00487-4/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:spr:snbeco:v:3:y:2023:i:7:d:10.1007_s43546-023-00487-4
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs43546-023-00487-4%3Bh%3Drepec%3Aspr%3Asnbeco%3Av%3A3%3Ay%3A2023%3Ai%3A7%3Ad%3A10.1007_s43546-023-00487-4
featured: 2023-06-14
citations: unknown
topic: ML & AI Methods
---


# Machine Learning for European Stocks

Machine learning used to examine predictability of equity returns in European stock market, finding linear methods perform better.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs43546-023-00487-4%3Bh%3Drepec%3Aspr%3Asnbeco%3Av%3A3%3Ay%3A2023%3Ai%3A7%3Ad%3A10.1007_s43546-023-00487-4
- Identifier: RePEc:spr:snbeco:v:3:y:2023:i:7:d:10.1007_s43546-023-00487-4
- Released: 2023-06-14
- First featured: Quant Letter No. 4 (2023-06-14): https://www.ml-quant.com/issues/2023-06-14/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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