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Cited by 599

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Tracking Retail Investor Activity

Open access
BOEHMER, EKKEHART, JONES, CHARLES M., ZHANG, XIAOYAN, ZHANG, XINRAN·2021·The Journal of Finance

Abstract

We provide an easy method to identify marketable retail purchases and sales using recent, publicly available U.S. equity transactions data. Individual stocks with net buying by retail investors outperform stocks with negative imbalances by approximately 10 bps over the following week. Less than half of the predictive power of marketable retail order imbalance is attributable to order flow persistence, while the rest cannot be explained by contrarian trading (proxy for liquidity provision) or public news sentiment. There is suggestive, but only suggestive, evidence that retail marketable orders might contain firm‐level information that is not yet incorporated into prices.

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Registry

Crossref · 10.1111/jofi.13033

Cites

28 of 28 references verified0 citation errors · 0 not checkable

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Citations

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Cited by

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Metadata

Authors
BOEHMER, E., JONES, C. M., ZHANG, X., & ZHANG, X.
Venue
The Journal of Finance
Publisher
Wiley
Published
2021-05-14
Volume
76
Issue
5
Pages
2249-2305
ISSN
  • 0022-1082 (ISSN-L)
  • 1540-6261
OpenAlex
W3159360958
Cited by
599
References
28
FWCI
27.02
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tracking Retail Investor Activity. https://app.cochat.ai/papers/10.1111/jofi.13033
The paper
BOEHMER, E., JONES, C. M., ZHANG, X., & ZHANG, X. (2021). Tracking Retail Investor Activity. The Journal of Finance. https://doi.org/10.1111/jofi.13033

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.