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Cited by 351

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Investor Sentiment and Corporate Disclosure

Open access
BERGMAN, NITTAI K., ROYCHOWDHURY, SUGATA·2008·Journal of Accounting Research

Abstract

This paper investigates how firms react strategically to investor sentiment via their disclosure policies in an attempt to influence the sentiment‐induced biases in expectations. Proxying for sentiment using the Michigan Consumer Confidence Index, we show that during low‐sentiment periods, managers increase forecasts to “walk up” current estimates of future earnings over long horizons. In contrast, during periods of high sentiment, managers reduce their long‐horizon forecasting activity. Further, while there is an association between sentiment and the biases in analysts' estimates of future earnings, management disclosures vary with sentiment even after controlling for analyst pessimism, indicating that managers attempt to communicate with investors at large, and not just analysts. Our study provides evidence that firms' long‐horizon disclosure choices reflect managers' desire to maintain optimistic earnings valuations.

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Crossref · 10.1111/j.1475-679x.2008.00305.x

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Metadata

Authors
BERGMAN, N. K., & ROYCHOWDHURY, S.
Venue
Journal of Accounting Research
Publisher
Wiley
Published
2008-10-21
Volume
46
Issue
5
Pages
1057-1083
ISSN
  • 0021-8456 (ISSN-L)
  • 1475-679X
OpenAlex
W3122224215
Cited by
351
References
1
FWCI
31.81
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Investor Sentiment and Corporate Disclosure. https://app.cochat.ai/papers/10.1111/j.1475-679x.2008.00305.x
The paper
BERGMAN, N. K., & ROYCHOWDHURY, S. (2008). Investor Sentiment and Corporate Disclosure. Journal of Accounting Research. https://doi.org/10.1111/j.1475-679x.2008.00305.x

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.