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Corporate Political Activism and Information Transfers

Authors: Dane M. Christensen; Hengda Jin; Joshua A. Lee; Suhas A. Sridharan; Laura A. Wellman;

Corporate Political Activism and Information Transfers

Abstract

ABSTRACT Prior research suggests that (1) politically active firms have an information advantage over firms that do not engage in the political process but also that (2) politically active firms are more likely to disclose policy-related information. We examine whether there are externalities associated with the processing of political information by politically active firms. We study this question in the setting of intraindustry information transfers around earnings announcements. Measuring firms’ political activism using campaign contributions, we find stronger intraindustry information transfers from politically active firms to their industry peers. These information transfers are stronger when there is more discussion during conference calls of political topics that have industry- or market-wide implications. Similarly, these information transfers are also stronger when there is greater political uncertainty. Our paper highlights an important information externality related to politically active firms’ disclosures and improves our understanding of how politically active firms affect their industries’ information environment. Data Availability: The data used in this study are publicly available from the sources cited in the text. JEL Classifications: D72; M41; M48.

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Keywords

political economy, D72, ddc:330, M41, M48, Information transfer, earnings announcements

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Powered by OpenAIRE graph
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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!
4
Top 10%
Average
Top 10%
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