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Annual Report Opacity and Stock Returns: Evidence from China

Authors: Minggen Gong; Yifei Lu; Jing Yao;

Annual Report Opacity and Stock Returns: Evidence from China

Abstract

This study shows the influence of annual report opacity on stock returns. To measure annual report opacity, we modify the Gunning Fog index in the computational linguistics literature by including the graphical information contained in the report. We find that the opacity measure predicts both lower future returns and more negative skewness for Chinese stocks. The results are consistent with the notion that managers write opaque annual reports to stockpile bad news and such information uncertainty obscures negative information to be impounded into price rapidly.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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