DOES DISTANCE MATTER IN MERGERS AND ACQUISITIONS?

Published date01 March 2017
AuthorPatty Bick,Brian R. Walkup,Andrew A. Lynch,Matthew D. Crook
Date01 March 2017
DOIhttp://doi.org/10.1111/jfir.12115
DOES DISTANCE MATTER IN MERGERS AND ACQUISITIONS?
Patty Bick and Matthew D. Crook
The University of Tulsa
Andrew A. Lynch
The University of Mississippi
Brian R. Walkup
The University of Tulsa
Abstract
Using a sample of mergers and acquis itions from 1985 to 2014, we examine the
impact of proximity between target and ac quirer as a measure of information
asymmetry. We nd geographic distance ha s a signicant impact on acquisitio ns
premiums and time to completion, conditional on th e size of the target rm. Small
targets receive lower premiums and have a fas ter time to completion the closer they
are to their acquirer. Conversely, la rge targets have a slower time to deal comple tion
the closer their proximity. We conclude geo graphic distance has a substantial impact
on acquisitions.
JEL Classification: G34
I. Introduction
Acquisitions are an important, but controversial, channel for rm growth. Acquirers use
estimated synergies and technological needs (e.g., Andrade, Mitchell, and Stafford 2001;
Bena and Li 2014; Higgins and Rodriguez 2006) to justify external growth. However,
growth through acquisition often leads to substantial wealth destruction for the acquirers
shareholders (e.g., Morck, Schleifer, and Vishny 1990; Moeller, Schlingemann, and
Stulz 2005; Malmendier and Tate 2008). Poor performance resulting from external
growth is not surprising given its cost. Betton, Eckbo, and Thorburn (2008) show the
median acquisition premium paid is 39% higher than the targets market value.
Understanding the factors that inuence acquisition premiums has become vital to
understanding what makes a more successful acquisition.
A considerable literature examines the determinants of acquisition premiums,
focusing on the role of managers and board members. For instance, the characteristics
of acquirer CEOs, such as overcondence and personal connections, often increase
the acquisition premium (e.g., Higgins and Rodriguez 2006; El-Khatib, Fogel, and
We are grateful for assistance and comments from Drew Winters (editor) and Randy Heron (associate editor).
All errors and omissions are our own.
The Journal of Financial Research Vol. XL, No. 1 Pages 3354 Spring 2017
33
© 2017 The Southern Finance Association and the Southwestern Finance Association
RAWLS COLLEGE OF BUSINESS, TEXAS TECH UNIVERSITY
PUBLISHED FOR THE SOUTHERN AND SOUTHWESTERN
FINANCE ASSOCIATIONS BY WILEY-BLACKWELL PUBLISHING
Jandik 2015).
1
However, asymmetric information between the acquirer and target also
has a substantial impact on acquisition premiums (e.g., Moeller, Schlingemann, and
Stulz 2007; Ofcer, Poulsen, and Stegemoller 2009; Zhu and Jog 2012).
A growing literature has identied geographic proximity as a factor that might
mitigate information asymmetry for a subset of investors. Coval and Moskowitz (2001)
suggest local investors possess an informational advantage when trading local assets.
Ragozzino and Reuer (2011) nd that acquirers closer to targets are better positioned to
assess the resources of target rms and have a lower risk of adverse selection in an
acquisition. The authors suggest that remote acquirers are more likely to lack key
relationships and nd appraisals of such soft information problematic(p. 879). This
suggests geographic distance between acquirer and target, by mitigating information
asymmetry for the acquirer, may inuence several facets of the acquisition, including the
premium and time to completion.
In this study, we examine how geographic distance between the headquarters of
a target and its acquirer inuences acquisitions. Dionne, La Haye, and Bergeres (2015)
nd that the presence of informed bidders in acquisitions may either increase or decrease
acquisition premiums, depending on the magnitude of information asymmetry around
the target rm. When the target rm has low information asymmetry (private knowledge
of the rm is not much higher than common, shared knowledge of the rm in the market)
informed bidders have only a small marginal advantage over uninformed bidders, and the
uniformed bidders know this. The uninformed bidders therefore bid vigorously and drive
the nal price (premium) higher.
2
Large rms, due to analyst coverage and high investor
attention, have relatively high common knowledge (see, e.g., Frankel and Li 2004).
Therefore, we expect informed bidders (close proximity) to hold little advantage when
bidding, resulting in higher premiums when they acquire large rms.
Conversely, Dionne, La Haye, and Bergeres (2015) nd that acquisition
premiums are lower when there are informed bidders in an acquisition of a target with
high information asymmetry (low common knowledge). Uninformed bidders know little
about the target relative to the informed bidder and are aware of this informational decit.
The winners curse becomes a very real concern for the uninformed bidder (see, e.g.,
Kagel and Levin 1986), and they either choose not to bid or do not bid aggressively. The
result is the informed bidder is more likely to win the auction and will pay a lower
premium for the target when they do. Small rms, with less analyst coverage and lower
investor attention, have relatively low common knowledge. Therefore, we expect
informed bidders (close proximity) to hold a considerable informational advantage,
resulting in lower premiums when they acquire small rms.
Given the amount of common knowledge of all rms has increased over time, we
additionally examine the relation between informed bidders and premiums over time.
1
Additionally, Datta, Iskandar-Datta, and Raman (2001) nd managers with low equity-based compensation
also pay larger premiums, and Huang et al. (2014) nd that investment bankers on the acquirers board reduce
premiums.
2
In other words, uninformed bidders, facing both the winners curse and losers curse, nd the losers curse
much more severe than the winners curse when the difference between their common knowledge and the informed
bidders private knowledge is low.
34 The Journal of Financial Research

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