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Information uncertainty and target valuation in mergers and acquisitions

Lin Li and Wilson H.S. Tong

Journal of Empirical Finance, 2018, vol. 45, issue C, 84-107

Abstract: We examine how a target’s information uncertainty level affects an acquirer’s valuation of the target and the acquirer’s gain realized from the transaction. Based on a simple perpetual discounted cash flow model, we argue that the valuation will be lower for a target with higher information uncertainty and acquiring a target with high information uncertainty can potentially create value for an acquirer’s shareholders. The empirical findings lend support to our arguments. Specifically, we observe that a target’s valuation multiple obtained from an acquirer is negatively correlated with the target’s information uncertainty level. An acquirer’s announcement return is negatively correlated with the valuation multiple given to the target but positively correlated with the target’s information uncertainty level. The results are robust against various measurements of valuation multiples and information uncertainty.

Keywords: Information uncertainty; Bid premium; Valuation multiple; Acquirer abnormal return (search for similar items in EconPapers)
JEL-codes: G14 G32 G34 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:empfin:v:45:y:2018:i:c:p:84-107

DOI: 10.1016/j.jempfin.2017.09.009

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Journal of Empirical Finance is currently edited by R. T. Baillie, F. C. Palm, Th. J. Vermaelen and C. C. P. Wolff

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