投标报价
背景(考古学)
经济
随机博弈
波动性(金融)
微观经济学
代理(统计)
计量经济学
计算机科学
财务
公司治理
古生物学
机器学习
生物
股东
作者
Elmar Lukas,Paulo J. Pereira,Artur Rodrigues
标识
DOI:10.1016/j.jcorpfin.2023.102489
摘要
This paper builds on recent advances in the domain of dynamic M&A option games under uncertainty and looks closer at the determinants that drive the strategic choice between mergers and tender offers. In particular, our model sheds new light in understanding the effects of uncertainty and relative size of firms on the choice of the M&A strategy. We not only show that uncertainty and relative size do impact the choice of the strategy, but we also show that the impact of uncertainty is non-monotonic. In fact, tender offers are more likely in a context of relatively low/high volatility. For intermediate uncertainty values mergers become more likely. Furthermore, the smaller/weaker the target relative to the bidder the more likely are tender offers. Additionally, our model also shows that the tender offer payoff is larger than the merger payoff, suggesting that larger combined CARs should be observed for tender offers. Our empirical study gives support to these results.
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