Are Corporate Restructuring Events Driven by Common Factors? Implications for Takeover Prediction
Year: 2007
Type: article
Abstract: : The paper shows that variables commonly used in takeover prediction models also help to explain the likelihood of several other restructuring events, including divestitures, bankruptcies and significant employee layoffs. This finding helps to explain the larger misclassification errors in binomial takeover prediction models commonly used in prior research. The results show that modelling takeover prediction models in a binomial setting is likely to lead to misspecification in the parameter estimates and, further, result in erroneous conclusions about the determinants of takeover likelihood. The paper shows that controlling for other restructuring events by using a multinomial framework results in consistently lower misclassification errors in out‐of‐sample prediction tests, when compared to the benchmark of a typical binomial model.
Authors: Ronan Powell, Alfred Yawson
Institution: UNSW Sydney
Language: English
Subfield: Accounting
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2056572782