Noise trader clusters and market efficiency

Christos Pantzalis, Jung Chul Park and Pinshuo Wang

Journal of Behavioral and Experimental Finance, 2025, vol. 45, issue C

Abstract: We posit that noise trader clusters, retail investor base configurations that are homogeneous and informationally segmented, should be associated with greater market inefficiency because they facilitate the spread of common, “local” narratives and sentiment about the stock over fundamentals and market information. Our tests confirm that noise trader clusters have significant stock pricing implications. Stocks with retail investor clusters are associated with stronger peer effects, greater delay in incorporating market information, and more idiosyncratic risk. Consistent with the notion that they are associated with greater arbitrage risk and mispricing, such stocks earn higher risk-adjusted returns and display stronger long-run reversals.

Keywords: Noise traders; Sentiment; Market efficiency; Idiosyncratic risk (search for similar items in EconPapers)
JEL-codes: G11 G14 G40 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:beexfi:v:45:y:2025:i:c:s2214635025000024

DOI: 10.1016/j.jbef.2025.101021

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