Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 533

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Corporate social performance, analyst stock recommendations, and firm future returns

Luo, Xueming, Wang, Heli, Raithel, Sascha, Zheng, Qinqin·2015·Strategic Management Journal

Abstract

This study posits that security analysts heed corporate social performance information and factor it into their recommendations to general investors. In particular, as corporate social performance is often uncertain and ambiguous to general investors, analysts may serve as the informational pathway connecting corporate social performance to firm stock returns. Thus, we argue that analyst recommendations mediate the relationship between corporate social performance and firm stock returns. On the basis of not only a qualitative study with literature searches and interviews of stock analysts but also a quantitative study with two longitudinal samples of large firms, we find support for these arguments. Our findings uncover an information‐based underlying mechanism for the link between corporate social performance and financial performance . Copyright © 2013 John Wiley & Sons, Ltd.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/smj.2219

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 12 references

Cited by

See all 533

Metadata

Authors
Luo, X., Wang, H., Raithel, S., & Zheng, Q.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2014-02-03
Volume
36
Issue
1
Pages
123-136
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W1879169835
Cited by
533
References
12
FWCI
56.71
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Corporate social performance, analyst stock recommendations, and firm future returns. https://app.cochat.ai/papers/10.1002/smj.2219
The paper
Luo, X., Wang, H., Raithel, S., & Zheng, Q. (2015). Corporate social performance, analyst stock recommendations, and firm future returns. Strategic Management Journal. https://doi.org/10.1002/smj.2219

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.