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CEO Gender and Acquisition Targeting

Authors: Kamyar Goudarzi; Xiaohu Guo; J.H. John Kim; Luqi Xu;

CEO Gender and Acquisition Targeting

Abstract

We examine whether CEO gender shapes acquisition targeting in the market for corporate control. Using a panel of S&P 1,500 firms, we find that firms led by female CEOs are approximately 2 percentage points (roughly 40% relative to the base rate) more likely to become acquisition targets. To assess whether this pattern reflects biased or well-calibrated belief formation, we examine acquirer identity, deal structure, and transaction context. Our results show that female-led targets are disproportionately acquired by female-led acquirers, inconsistent with a bias driven explanation. We also find little evidence that acquisitions of female-led firms reflect lower perceived frictions or greater ease of taking control. Instead, female-led firms are more likely to be targeted in unrelated, integration-intensive acquisition settings. Accordingly, we find suggestive evidence that these transactions are associated with higher target CEO retention, stronger post-merger operating performance, superior long-run stock performance, and improved innovation outcomes consistent with purposeful, capability-seeking targeting rather than biased or stereotypical perceptions.

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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!
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Average
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