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Cited by 230

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Corporate Nonfinancial Disclosure Practices and Financial Analyst Forecast Ability Across Three European Countries

Open access
Vanstraelen, Ann, Zarzeski, Marilyn T., Robb, Sean W. G.·2003·Journal of International Financial Management & Accounting

Abstract

This paper presents evidence that companies across three continental European countries (Belgium, Germany and the Netherlands) provide varying degrees of analyst recommended nonfinancial disclosures to the marketplace. This study is the first to examine the relationship of Jenkins Committee nonfinancial disclosure levels with the accuracy and dispersion of financial analysts' earnings forecasts. Seemingly unrelated regression tests show that larger companies and companies with a global focus voluntarily provide higher levels of both forward looking and historical nonfinancial disclosures. Additionally, higher levels of forward looking nonfinancial disclosures are associated with lower dispersion and higher accuracy in financial analysts' earnings forecasts.

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Metadata

Authors
Vanstraelen, A., Zarzeski, M. T., & Robb, S. W. G.
Venue
Journal of International Financial Management & Accounting
Publisher
Wiley
Published
2003-09-19
Volume
14
Issue
3
Pages
249-278
ISSN
  • 0954-1314 (ISSN-L)
  • 1467-646X
OpenAlex
W2124815635
Cited by
230
References
3
FWCI
12.84
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Corporate Nonfinancial Disclosure Practices and Financial Analyst Forecast Ability Across Three European Countries. https://app.cochat.ai/papers/10.1111/1467-646x.00098
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Vanstraelen, A., Zarzeski, M. T., & Robb, S. W. G. (2003). Corporate Nonfinancial Disclosure Practices and Financial Analyst Forecast Ability Across Three European Countries. Journal of International Financial Management & Accounting. https://doi.org/10.1111/1467-646x.00098

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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.