Jo Danbolt
Abnormal Returns from Takeover Prediction Modelling: Challenges and Suggested Investment Strategies
Danbolt, Jo; Siganos, Antonios; Tunyi, Abongeh
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.
Citation
Danbolt, J., Siganos, A., & Tunyi, A. (2016). Abnormal Returns from Takeover Prediction Modelling: Challenges and Suggested Investment Strategies. Journal of Business Finance and Accounting, 43(1-2), 66-97. https://doi.org/10.1111/jbfa.12179
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 13, 2016 |
Online Publication Date | Mar 14, 2016 |
Publication Date | 2016-01 |
Deposit Date | Jul 6, 2021 |
Journal | Journal of Business Finance & Accounting |
Print ISSN | 0306-686X |
Electronic ISSN | 1468-5957 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 43 |
Issue | 1-2 |
Pages | 66-97 |
DOI | https://doi.org/10.1111/jbfa.12179 |
Keywords | G11, G12, G14, G34, takeover prediction, abnormal returns, portfolio strategies, investment timing, firm size, rumours |
Public URL | http://researchrepository.napier.ac.uk/Output/2785041 |
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