Being able to predict a merger or acquisition before it takes place could lead to an investor earning a premium, if they owned shares of the targeted firm before the merger or acquisition attempt is announced. On average acquiring firms pay a premium when acquiring or merging with a targeted firm. This study uses publicly available financial information for 7,267 attempted takeover targets and 52,343 non-targeted firms for the period January 3, 2000 through December 31, 2007 to estimate (using logit) predictive models. Financial ratios are constructed based on six hypotheses found in the literature. Although statistical evidence supports a few of the hypotheses, the low predictive power of the models does not indicate the ability to accurately predict targeted firms ahead of time, let alone with any economic significance.
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Gilkeson, James H.
Bachelor of Science in Business Administration (B.S.B.A.)
College of Business Administration
Business Administration -- Dissertations, Academic; Dissertations, Academic -- Business Administration
Length of Campus-only Access
Honors in the Major Thesis
D'Angelo, John, "Predicting mergers and acquisitions" (2012). HIM 1990-2015. 1259.