活力
业务
福利
产业组织
生产力
尽职调查
私人信息检索
价值(数学)
经济
财务
计算机科学
宏观经济学
物理
机器学习
量子力学
计算机安全
市场经济
作者
Murat Çelik,Xu Tian,Wenyu Wang
摘要
Abstract Acquiring innovation through M&A is subject to information frictions, as assessing the value of innovative targets is a challenging task. We find an inverted U-shaped relation between firm innovation and takeover exposure; equity usage increases with target innovation; and the deal completion rate drops with innovation. We develop and estimate a model of acquiring innovation under information frictions, featuring endogenous merger, innovation, and offer composition decisions. Our estimates suggest that acquirers’ due diligence reveals only 30$\%$ of private information possessed by targets. Eliminating information frictions increases capitalized merger gains by 59$\%$, stimulates innovation, and boosts productivity, business dynamism, and social welfare.
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