Abnormal Returns from Takeover Prediction Modelling: Challenges and Suggested Investment Strategies
研究发现收购目标预测模型难以获得异常收益，原因不仅在于识别目标困难，还在于模型未能优化时机且误将大量困境公司分类为目标；通过筛选规模、杠杆和流动性可改善收益。
Abstract 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.