---
title: Cross-Sectional Anomalies and Arbitrage
url: https://www.ml-quant.com/papers/repec/wsi-wschap-9789811290633-0004/
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:wsi:wschap:9789811290633_0004
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.worldscientific.com%2Fdoi%2Fpdf%2F10.1142%2F9789811290633_0004%3Bh%3Drepec%3Awsi%3Awschap%3A9789811290633_0004
featured: 2024-12-04
citations: unknown
topic: Trading, Microstructure & Execution
---


# Cross-Sectional Anomalies and Arbitrage

An extended analysis of Kaplanski's work reveals that arbitrage activity after identifying cross-sectional anomalies alters returns, indicating long-term profitability for arbitrageurs and suggesting mispricing due to investor behavior biases.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.worldscientific.com%2Fdoi%2Fpdf%2F10.1142%2F9789811290633_0004%3Bh%3Drepec%3Awsi%3Awschap%3A9789811290633_0004
- Identifier: RePEc:wsi:wschap:9789811290633_0004
- Released: 2024-12-04
- First featured: Quant Letter No. 77 (2024-12-04): https://www.ml-quant.com/issues/2024-12-04/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Trading, Microstructure & Execution

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