2020
DOI: 10.1002/ijfe.1969
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Effect of leverage deviation on choices and outcomes of public versus non‐public acquisitions

Abstract: This paper examines whether firms' deviation from target leverage may predict types and outcomes of mergers and acquisitions (M&A) deals. We find that over‐levered firms are more inclined to be involved in public acquisitions than non‐public acquisitions. Consistent with the proposition of information economics theory, our findings suggest that information asymmetry is the main motive behind over‐levered firms' preference for public targets. Specifically, we observe that over‐levered acquirers not only prefer … Show more

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Cited by 8 publications
(19 citation statements)
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References 82 publications
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“…For the other control variables, consistent with Ahmed and Elshandidy (2021) and Uysal (2011), Table 3 finds that firm size positively affects the likelihood of making acquisitions. Conversely, firms with high leverage ratios are less able to acquire other firms.…”
Section: Empirical Findings 41 Descriptive Statisticssupporting
confidence: 52%
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“…For the other control variables, consistent with Ahmed and Elshandidy (2021) and Uysal (2011), Table 3 finds that firm size positively affects the likelihood of making acquisitions. Conversely, firms with high leverage ratios are less able to acquire other firms.…”
Section: Empirical Findings 41 Descriptive Statisticssupporting
confidence: 52%
“…Third, we use the Thomson One database to collect M&A data. We set the following criteria following prior research (Ahmed and Elshandidy, 2021; Ames et al , 2020; Lim and Lee, 2015). The target companies can be either domestic or foreign, the listed status of the target can be public, private or subsidiary.…”
Section: Methodsmentioning
confidence: 99%
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“…The probit model’s dependent variable is a dummy that takes the value of one if a firm becomes a target in a given year and zero otherwise. Following Ahmed and Elshandidy (2020), explanatory variables in this model include firm size, ROA, MTB, market leverage, stock return, industry M&A liquidity index, the Herfindahl index and year and industry FE.…”
Section: Robustness Checkmentioning
confidence: 99%