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Cited by 438

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

International Diversification and Analysts' Forecast Accuracy and Bias

Open access
Duru, Augustine, Reeb, David M.·2002·The Accounting Review
DOI 10.2308/accr.2002.77.2.415
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Abstract

We investigate the association between corporate international diversification and the accuracy and bias of consensus analysts' earnings forecasts. We find that greater corporate international diversification is associated with less accurate and more optimistic forecasts. Our results suggest that international diversification reflects unique dimensions of forecasting difficulty that are not captured in previously identified determinants. This evidence suggests that as firms become more geographically diversified, forecasting their earnings becomes more complex.

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Metadata

Authors
Duru, A., & Reeb, D. M.
Venue
The Accounting Review
Publisher
American Accounting Association
Published
2002-04-01
Volume
77
Issue
2
Pages
415-433
ISSN
  • 0001-4826 (ISSN-L)
  • 1558-7967
DOI
10.2308/accr.2002.77.2.415
OpenAlex
W2062350776
Cited by
438
References
40
FWCI
23.47
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: International Diversification and Analysts' Forecast Accuracy and Bias. https://app.cochat.ai/papers/10.2308/accr.2002.77.2.415
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Duru, A., & Reeb, D. M. (2002). International Diversification and Analysts' Forecast Accuracy and Bias. The Accounting Review. https://doi.org/10.2308/accr.2002.77.2.415

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.