Geographic distance and goodwill impairment
Pages | 547-572 |
Published date | 07 October 2019 |
Date | 07 October 2019 |
DOI | https://doi.org/10.1108/IJAIM-10-2018-0121 |
Author | Joel Harper,Li Sun |
Geographic distance and
goodwill impairment
Joel Harper
Farmer School of Business, Miami University, Oxford, Ohio, USA, and
Li Sun
Collins College of Business, University of Tulsa, Tulsa, Oklahoma, USA
Abstract
Purpose –The purpose of this study is to examinethe impact of asymmetric information, estimated as the
geographic distance between the acquiring firm and the target firm, on goodwill impairment following a
merger or acquisition.
Design/methodology/approach –This study uses regression analysis to investigate the research
questionsof this study.
Findings –This study finds that geographicdistance is positively related to the magnitude of current and
cumulative goodwill impairment.The results of this study still hold even after robustness checks for other
factors thataffect mergers and acquisitions and sources of asymmetric information.
Originality/value –This study extends and linkstwo distinct research streams: asymmetric information
related to geographicdistance studies in finance and goodwill literature in accounting.Specifically, this study
extends literature on the impact of geographic distance on various firm characteristics and contributes to
research regardingthe determinants of goodwill impairment, a major research stream in goodwill accounting
(Li and Sloan, 2016). To the best of the authors’knowledge, this is the first study that performs a direct
empirical test on the relation between geographicdistance (between the acquiring firm and the target firm)
and goodwillimpairment.
Keywords Goodwill, Goodwill impairment, Geographic distance, Mergers and acquisitions
Paper type Research paper
1. Introduction
The role of information in financial markets and the problems resulting from information
asymmetry are fundamental tenets in the economic and finance literature. Asymmetric
information, described by Akerlof (1970),Leland and Pyle (1977) and others, has been used
to explain the use of financial intermediaries (signaling by management to the market),
capital structure and other financialdecisions. In addition, information asymmetry provides
a basis for explaining the winner’s curse in initial public offerings as well as acquisition
premiums that acquiring firms pay to target shareholders (as measured by announcement
price reaction). Recent research examines the effect of geographic proximity on reducing
information asymmetry.For example, Baik et al. (2010) find that local institutional investors
and advisors earn higher returns, in part, to their informational advantages. Uysal et al.
(2008) find that there are higher returns to acquirers in local merger transactions and that
returns increase with the opacity of the target. In addition, Ragozzino and Reuer (2011)
examine the impact of geographic distance between the headquarters of the acquiring and
target firms on mergers and acquisitions(M&As) and document that geographic distance is
JEL classification –G34, M49
Geographic
distance and
goodwill
impairment
547
Received6 October 2018
Revised17 November 2018
Accepted2 December 2018
InternationalJournal of
Accounting& Information
Management
Vol.27 No. 4, 2019
pp. 547-572
© Emerald Publishing Limited
1834-7649
DOI 10.1108/IJAIM-10-2018-0121
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/1834-7649.htm
positively related to informationasymmetry. This information asymmetry tends to increase
the likelihood and the amount of an increased premiumpaid for the target’s shares, creating
a substantial amount of goodwill.If the premium paid for the target is not justified (acquirer
overpaid for target), then this goodwill eventually becomes impaired. The purpose of this
study is to examine the relation between geographicdistance and goodwill impairment.
We focus on goodwill impairment for the following reasons. First, goodwill is an
important intangible asset, which arises from M&As. Goodwill accounts for a significant
amount of a firm’s total net assets (Jennings et al.,1996). Hence, investors use information
about goodwill to evaluate a firm’s intangible assets and to estimate a firm’s future cash
flows (Hayn and Hughes, 2006). Second, the accounting standards (i.e. ASC 350-20[1])
require firms to perform an annualimpairment test on goodwill to determine if the fair value
is less than the carrying value. Hence, Filip et al. (2015) suggest that goodwill is the most
sensitive asset to a decline in firm value. Third, the frequency and magnitude of goodwill
impairment losses have drastically increasedsince 2008 (Darrough et al.,2014). As a result,
goodwill impairment has received increasedand significant attention. For example, Li et al.
(2011) argue that goodwill impairment is a leading indicator ofa firm’s future performance,
suggesting that such impairment contains critical information about a firm’s (future)
performance. Darrough et al. (2014) alsosuggest that goodwill impairment reflects the past
managerial performance following prior M&A activity. Finally, despite the surge of
attention on goodwill impairment, there is little empirical research on whether and how
certain characteristics (i.e. geographic distance) during M&A are associated with goodwill
impairment. The lackof empirical evidence motivates us to conduct this study.
Using a sample of firms that have completed M&As from 2002 to 2014, we identify 630
goodwill impairments withcomplete data to conduct our analysis. We find a significant and
positive relation between geographic distance (between the acquirer and the target) and
current and future goodwill impairment[2], measured as the magnitude of goodwill
impairment loss. Our results suggest that geographic distance increases information
asymmetry duringa M&A, leading to overpayment at acquisition and goodwillimpairment.
This is consistent with prior research, such as Ragozzino and Reuer (2011). We conduct
additional tests using alternativemeasures of distance, as well as tests on subsamples, to be
certain the results are robust with respect to alternative model specifications and
explanations. We beginby repeating our analysis usingan alternative distance measure and
obtain similar results. Second, we reexamine the main results across different subsample
periods. This test allows us to investigate the extent to which changes in macroeconomic
factors affect the impact of geographic distance on goodwill impairment over time. We
argue that the impact of geographic distanceon goodwill impairment should be stronger for
firms where the acquisition is an inter-industryacquisition or/and for small acquiring firms.
We find convincing evidence supporting our hypothesis about the direct relation between
distance and goodwill impairment. Finally, we predict and find that the results are largely
driven by firms with low managerial ability. This is consistent with prior research (Sun,
2016) suggesting that more-able managers better reduce goodwill impairment losses,
relative to less-able managers. Overall, results for all the robustness checks confirm our
central hypothesis.
This study makes several important contributions. First, this study extends and links
two distinct research streams: asymmetric information related to geographic distance
studies in finance and goodwill literature in accounting. Specifically, this study extends
literature on the impact of geographic distance on various firm characteristics and
contributes to research regarding the determinants of goodwill impairment, a major
research stream in goodwill accounting (Li and Sloan, 2016). To the best of our knowledge,
IJAIM
27,4
548
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