Acquirers gain twice as much as targets in M&As: a different perspective on a longstanding perception

Tarcisio da Graça, R. Masson
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引用次数: 3

Abstract

We propose a structural event study methodology, which explicitly models the interaction of two merger and acquisition (M&A) effects: synergy (total value) and dominance (bargaining power). This interaction simultaneously determines the acquirer's and the target's observed abnormal returns around the transaction announcement. Accordingly, we propose a structural estimation approach of which estimates suggest that acquirers get twice as much gains as targets. The structural parameters are uniquely identified with the reduced forms’ coefficients. We use this feature to validate our structural approach. Moreover, the reduced forms' estimates are consistent with the M&A literature. However, the interpretation/intuition from the structural estimates offers a new perspective on how acquirers and targets share synergies. More generally, the structural approach allows testing theories and hypotheses related to M&As under an empirical framework that captures the interdependency of the parties' abnormal returns. The efficiency of the empirical procedure is higher than the efficiency of methods that overlook this interdependency.
收购方在并购中获得的收益是目标方的两倍:这是一个长期存在的观点的不同视角
本文提出了一种结构事件研究方法,该方法明确地模拟了两种并购效应:协同效应(总价值)和优势效应(议价能力)的相互作用。这种相互作用同时决定了收购方和目标方在交易公告前后观察到的异常回报。因此,我们提出了一种结构估计方法,该方法的估计表明收购方获得的收益是目标方的两倍。结构参数用简化形式的系数唯一识别。我们使用这个特性来验证我们的结构方法。此外,简化形式的估计与并购文献一致。然而,从结构估计中得出的解释/直觉为收购方和目标方如何共享协同效应提供了新的视角。更一般地说,结构方法允许在一个经验框架下测试与并购相关的理论和假设,该框架捕获了各方异常回报的相互依赖性。经验程序的效率高于忽视这种相互依赖性的方法的效率。
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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