Does valuation uncertainty benefit acquirers or targets?
ISSN: 0307-4358
Article publication date: 5 July 2023
Issue publication date: 30 January 2024
Abstract
Purpose
While the existing studies largely suggest that valuation uncertainty benefits acquirers, who apply discounts to targets' value attributable to information asymmetry, the authors argue that the opposite may be the case.
Design/methodology/approach
Through multivariate econometric analysis of transaction data, the authors establish the link between the degree of valuation uncertainty measured by targets' track of public listing and acquisition premia. The authors use text-mining tools to measure acquirer–target similarity and control for its role in intermediating the posited empirical relationships.
Findings
Having analyzed 618 acquisitions involving listed targets from China, the authors find that acquirers pay higher valuation premia for the more recently listed and relatively younger companies than for those with a longer history since floatation. Similar patterns apply to valuation multiples. Higher valuations are partially attributable to premia for control, as acquirers are likelier to buy a majority stake in the recently listed firms, especially if the latter are similar to them. Such transactions take less time to complete and involve a transfer of larger share blocks despite the higher degree of information asymmetry and a frequent lack of targets' operational profitability. The authors also observe a significant premium for target–acquirer similarity: acquirers appear to rush deal completion due to possible overestimation of targets' potential and familiarity bias.
Originality/value
The authors show that acquisition premia may be driven by acquirers' proclivity to place risky investment bets on the growth potential of opaque targets. This pattern may partially explain frequent failures of mergers and acquisitions (M&A).
Keywords
Citation
Wnuczak, P. and Osiichuk, D. (2024), "Does valuation uncertainty benefit acquirers or targets?", Managerial Finance, Vol. 50 No. 2, pp. 329-348. https://doi.org/10.1108/MF-10-2022-0470
Publisher
:Emerald Publishing Limited
Copyright © 2023, Emerald Publishing Limited