A dynamic study of the characteristics, predictive power and profitable opportunities underlying takeover prediction models : evidence from the UK and the USA
Citation:
Julian Perez Alzueta, 'A dynamic study of the characteristics, predictive power and profitable opportunities underlying takeover prediction models : evidence from the UK and the USA', [thesis], Trinity College (Dublin, Ireland). Trinity Business School, 2010, pp 263Download Item:
Perez Alzueta TCD THESIS 9079 A dynamic.pdf (PDF) 112.7Mb
Abstract:
Takeover prediction models can be defined as a cross-sectional regression using a firms
corporate accounting information in order to measure its likelihood of becoming an acquisition target. Given the theoretical and empirical evidence that these models are unstable both over time and across economies, the research objectives of this thesis are to (i) determine persistent takeover characteristics over a ten-year time span, (ii) analyze the model's predictive accuracy and (iii) investigate whether long-term abnormal returns can be earned by investing in realistic portfolios based on the model's predictions and whether the model's profitability is correlated with its predictive ability.
Author: Perez Alzueta, Julian
Advisor:
Lucey, BrianQualification name:
Doctor of Philosophy (Ph.D.)Publisher:
Trinity College (Dublin, Ireland). Trinity Business SchoolNote:
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