---
title: Anomalies and Market Returns
url: https://www.ml-quant.com/papers/repec/oup-revfin-v-28-y-2024-i-1-p-1-44/
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:oup:revfin:v:28:y:2024:i:1:p:1-44.
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1093%2Frof%2Frfad025%3Bh%3Drepec%3Aoup%3Arevfin%3Av%3A28%3Ay%3A2024%3Ai%3A1%3Ap%3A1-44.
featured: 2024-05-08
citations: unknown
topic: Asset Pricing & Factors
---


# Anomalies and Market Returns

A study using machine learning methods revealed that equity anomalies do not predict overall market returns, questioning the belief that anomalies collectively provide useful information for forecasting market risk premia.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1093%2Frof%2Frfad025%3Bh%3Drepec%3Aoup%3Arevfin%3Av%3A28%3Ay%3A2024%3Ai%3A1%3Ap%3A1-44.
- Identifier: RePEc:oup:revfin:v:28:y:2024:i:1:p:1-44.
- Released: 2024-05-08
- First featured: Quant Letter No. 48 (2024-05-08): https://www.ml-quant.com/issues/2024-05-08/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Asset Pricing & Factors

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