Acquiring Innovation Under Information Frictions

M. Celik, X. Tian, Wenyu Wang
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引用次数: 8

Abstract

An active M&A market incentivizes many firms to specialize in innovation with the anticipation of being acquired in the future. Acquiring innovation, however, is subject to information frictions, because acquirers often find it challenging to assess the value and impact of innovative targets. Using data on US public firms, we document that (i) there is a robust inverted-U relationship between firm innovation and takeover exposure, (ii) equity usage increases with target innovation, and (iii) deal completion rate drops as targets become more innovative. Motivated by these findings, we develop and estimate a model of acquiring innovation under information frictions. We find that acquirers' due diligence reveals only 33% of private information possessed by targets, and eliminating the remaining information friction can increase firms' expected gains from the M&A market by 38%. This efficiency gain is achieved through a higher probability of mergers and a larger value creation in completed transactions. We also find that a more efficient M&A market encourages more firm innovation, resulting in a higher average firm growth rate.
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信息摩擦下的创新获取
一个活跃的并购市场激励许多公司专注于创新,并预期未来会被收购。然而,获取创新受制于信息摩擦,因为收购方经常发现评估创新目标的价值和影响具有挑战性。利用美国上市公司的数据,我们证明(i)公司创新与收购风险之间存在强大的倒u型关系,(ii)股权使用随着目标创新而增加,以及(iii)交易完成率随着目标变得更具创新性而下降。在这些发现的激励下,我们开发并估计了信息摩擦下获取创新的模型。我们发现,收购方的尽职调查仅揭示了被收购方拥有的33%的私人信息,消除剩余的信息摩擦可以使企业从并购市场获得的预期收益增加38%。这种效率的提高是通过更高的合并概率和在完成的交易中创造更大的价值来实现的。并购市场效率越高,企业创新能力越强,企业平均增长率越高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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