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Do Earnings Explain the January Effect?

Authors: Hai Lu; Qingzhong Ma;

Do Earnings Explain the January Effect?

Abstract

This paper presents evidence on the correlation between stock returns in January and the earnings information released in the month. The annual earnings announced in January are predominantly positive, and the stock returns in late January are abnormally high than in the remainder of the year. Both time-series and cross-sectional analysis shows a strong relationship between stock returns and the earnings information released in January, particularly in the second half of the month. The results suggest that the earnings information may be one important driving force of the January Effect.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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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