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Cited by 1,201

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The World Price of Earnings Opacity

Open access
Bhattacharya, Utpal, Daouk, Hazem, Welker, Michael·2003·The Accounting Review

Abstract

We analyze financial statements from 34 countries for the period 1984–1998 to construct a panel data set measuring three dimensions of reported accounting earnings for each country: earnings aggressiveness, loss avoidance, and earnings smoothing. We hypothesize that these three dimensions are associated with uninformative or opaque earnings, and so we combine these three measures to obtain an overall earnings opacity time-series measure per country. We then explore whether our three measures of earnings opacity affect two characteristics of an equity market in a country: the return the shareholders demand and how much they trade. While not all results are consistent for our three individual earnings opacity measures, our panel data tests document that, after controlling for other influences, an increase in overall earnings opacity in a country is linked to an economically significant increase in the cost of equity and an economically significant decrease in trading in the stock market of that country.

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Crossref · 10.2308/accr.2003.78.3.641

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Metadata

Authors
Bhattacharya, U., Daouk, H., & Welker, M.
Venue
The Accounting Review
Published
2003-07-01
Volume
78
Issue
3
Pages
641-678
ISSN
  • 0001-4826 (ISSN-L)
  • 1558-7967
OpenAlex
W3123516354
Cited by
1,201
References
2
FWCI
121.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The World Price of Earnings Opacity. https://app.cochat.ai/papers/10.2308/accr.2003.78.3.641
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Bhattacharya, U., Daouk, H., & Welker, M. (2003). The World Price of Earnings Opacity. The Accounting Review. https://doi.org/10.2308/accr.2003.78.3.641

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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.