Noise trader clusters and market efficiency

IF 4.3 2区 经济学 Q1 BUSINESS, FINANCE Journal of Behavioral and Experimental Finance Pub Date : 2025-01-10 DOI:10.1016/j.jbef.2025.101021
Christos Pantzalis, Jung Chul Park, Pinshuo Wang
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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.
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来源期刊
CiteScore
13.20
自引率
6.10%
发文量
75
审稿时长
69 days
期刊介绍: Behavioral and Experimental Finance represent lenses and approaches through which we can view financial decision-making. The aim of the journal is to publish high quality research in all fields of finance, where such research is carried out with a behavioral perspective and / or is carried out via experimental methods. It is open to but not limited to papers which cover investigations of biases, the role of various neurological markers in financial decision making, national and organizational culture as it impacts financial decision making, sentiment and asset pricing, the design and implementation of experiments to investigate financial decision making and trading, methodological experiments, and natural experiments. Journal of Behavioral and Experimental Finance welcomes full-length and short letter papers in the area of behavioral finance and experimental finance. The focus is on rapid dissemination of high-impact research in these areas.
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