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Cited by 258

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

The Accrual Anomaly: Risk or Mispricing?

Open access
Hirshleifer, David, Hou, Kewei, Teoh, Siew Hong·2012·Management Science

Abstract

We document considerable return comovement associated with accruals after controlling for other common factors. An accrual-based factor-mimicking portfolio has a Sharpe ratio of 0.16, higher than that of the market factor or the SMB and HML factors of Fama and French. According to rational frictionless asset pricing models, the ability of accruals to predict returns should come from the loadings on this accrual factor-mimicking portfolio. However, our tests indicate that it is the accrual characteristic rather than the accrual factor loading that predicts returns. These findings suggest that investors misvalue the accrual characteristic and cast doubt on the rational risk explanation. This paper was accepted by Brad Barber, Teck Ho, and Terrance Odean, special issue editors.

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Crossref · 10.1287/mnsc.1100.1289

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Metadata

Authors
Hirshleifer, D., Hou, K., & Teoh, S. H.
Venue
Management Science
Published
2012-02
Volume
58
Issue
2
Pages
320-335
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W1483008754
Cited by
258
References
54
FWCI
44.50
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Accrual Anomaly: Risk or Mispricing? https://app.cochat.ai/papers/10.1287/mnsc.1100.1289
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Hirshleifer, D., Hou, K., & Teoh, S. H. (2012). The Accrual Anomaly: Risk or Mispricing? Management Science. https://doi.org/10.1287/mnsc.1100.1289

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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.