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Abnormal Returns from Takeover Prediction Modelling: Challenges and Suggested Investment Strategies

机译:接管预测模型的超额收益:挑战和建议的投资策略

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摘要

While takeover targets earn significant abnormal returns, studies tend to find no abnormal returns from investing in predicted takeover targets. In this study, we show that the difficulty of correctly identifying targets ex ante does not fully explain the below-expected returns to target portfolios. Target prediction models’ inability to optimally time impending takeovers, by taking account of pre-bid target underperformance and the anticipation of potential targets by other market participants, diminishes but does not eliminate the potential profitability of investing in predicted targets. Importantly, we find that target portfolios are predisposed to underperform, as targets and distressed firms share common firm characteristics, resulting in the misclassification of a disproportionately high number of distressed firms as potential targets. We show that this problem can be mitigated, and significant risk-adjusted returns can be earned, by screening firms in target portfolios for size, leverage and liquidity.
机译:尽管收购目标获得可观的异常收益,但研究倾向于发现,投资于预期的收购目标不会带来异常收益。在这项研究中,我们证明了事前正确确定目标的困难并不能完全解释目标投资组合的低于预期的收益。考虑到竞标前目标表现不佳以及其他市场参与者对潜在目标的预期,目标预测模型无法在最佳时机进行接管,这减少了但并没有消除投资于预测目标的潜在获利能力。重要的是,我们发现目标投资组合倾向于表现不佳,因为目标和陷入困境的公司具有共同的公司特征,导致大量不成比例的陷入困境的公司被错误分类为潜在目标。我们证明,通过对目标投资组合中的公司进行规模,杠杆率和流动性筛选,可以缓解该问题,并获得可调整的重大风险回报。

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