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Journal of Accounting and Economics Vol. 15 No. 4 1992

An earnings prediction approach to examining intercompany information transfers

Robert Freeman; Senyo Y. Tse

The University of Texas at Austin

Abstract

We assess potential information transfers by examining the association between the earnings announcements of early and late announcers in an industry. Our earnings prediction models are statistically significant much more frequently than would be expected by chance. The models suggest potential positive information transfers on average, but there is substantial cross-industry variation in the strength of this relation. We find that the greatest price reactions by nonannouncers to same-industry earnings announcements occur in industries with the greatest earnings comovement

DOI
10.1016/0165-4101(92)90004-l
Volume
15
Issue
4
Pages
509-523
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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