This research considers whether recent modifications to segment reporting adequately address analysts' concerns regarding the usefulness of geographic data. Forecast errors for models utilizing SFAS No. 131 geographic sales data are compared to forecast errors for models utilizing SFAS No. 14 geographic sales data. The results indicate a significant improvement in the predictive accuracy of geographic sales disclosures provided under SFAS No. 131. Additional analysis suggests this enhanced predictability may be associated with the revised requirements that companies report sales for the country of domicile and for each individually material country. Overall, our findings appear to support the FASB's argument that segment information by country is more informative and useful. Based on our findings, recommendations are presented regarding possible amendments to SFAS No. 131 that may further enhance the predictive ability of geographic segment data.
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Fall 2002
Research Article|
January 01 2002
The Predictive Ability of Geographic Segment Disclosures by U.S. Companies: SFAS No. 131 vs. SFAS No. 14
Bruce K. Behn, Associate Professor;
Bruce K. Behn, Associate Professor
University of Tennessee.
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Nancy B. Nichols, Assistant Professor;
Nancy B. Nichols, Assistant Professor
James Madison University.
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Donna L. Street, Professor
Donna L. Street, Professor
University of Dayton.
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Online ISSN: 1558-8025
Print ISSN: 1542-6297
American Accounting Association
2002
Journal of International Accounting Research (2002) 1 (1): 31–44.
Citation
Bruce K. Behn, Nancy B. Nichols, Donna L. Street; The Predictive Ability of Geographic Segment Disclosures by U.S. Companies: SFAS No. 131 vs. SFAS No. 14. Journal of International Accounting Research 1 January 2002; 1 (1): 31–44. https://doi.org/10.2308/jiar.2002.1.1.31
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