Goodwill impairment loss and bond credit rating

Pages2-20
DOIhttps://doi.org/10.1108/IJAIM-02-2016-0014
Published date06 March 2017
Date06 March 2017
AuthorLi Sun,Joseph H. Zhang
Subject MatterAccounting & Finance,Accounting/accountancy,Accounting methods/systems
Goodwill impairment loss and
bond credit rating
Li Sun
School of Accounting, University of Tulsa, Tulsa, Oklahoma, USA, and
Joseph H. Zhang
School of Accountancy, The University of Memphis, Memphis, Tennessee, USA
Abstract
Purpose The purpose of this study is to examine the impact of goodwill impairment losses on bond credit
ratings.
Design/methodology/approach The authors use regression analysis to examine the relationship
between goodwill impairment losses and bond credit ratings.
Findings The empirical results show a negative relationship between the amount of goodwill impairment
losses and bond credit ratings, suggesting that rms with goodwill impairment losses receive lower credit
ratings. The authors perform various additional tests, including subsamples in good or bad market time,
changes analysis, rst time goodwill impairment rms vs subsequent impairment and the two-stage least
squares regression analysis to address potential endogeneity issues. The main results persist.
Originality/value This paper links and contributes to two streams of literature: goodwill impairment in
accounting literature and bond credit ratings in nance literature. Whether a rm’s goodwill impairment
losses affect the rm’s bond credit rating remains an interesting question that has not been examined
previously. To the best of the authors’ knowledge, this is the rst study that directly examines the relationship
between goodwill impairment losses and bond ratings at the rm level.
Keywords Goodwill impairment, ASC 350-20, Bond rating
Paper type Research paper
1. Introduction
The purpose of this study is to examine the impact of goodwill impairment losses on bond
credit ratings. Anecdotal evidence suggests a negative relationship between goodwill
impairments and bond credit ratings. For example, Leido Holdings announced a $510m
impairment of goodwill on September 09, 2014. Moody, a major credit rating agency, made a
comment saying “Leido’s goodwill impairment is a negative development” on the same day
and downgraded Leido’s credit rating from Baa3 to Ba1 on November 3, 2014. This evidence
suggests that credit rating agencies take into account goodwill impairment when assessing
a rm’s creditworthiness. Despite the existence of anecdotal evidence, empirical evidence on
the impact of goodwill impairment losses on bond credit rating is still scarce. Some studies
(Gentry et al., 1988;Kim and Gu, 2003) suggest that bond ratings are largely determined by
nancial ratios including leverage, liquidity, protability, debt coverage and size. Other
studies (Bhojraj and Sengupta, 2003) suggest that corporate governance is also an important
determinant of bond ratings. Surprisingly, very few studies examine another possible bond
ratings determinant suggested by anecdotal evidence – goodwill impairment.
This study focuses on goodwill impairment for the following reasons: First, goodwill
accounts for a signicant amount of a rm’s balance sheet, and, thus, it is an important
JEL classication – G18, G24, M41
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/1834-7649.htm
IJAIM
25,1
2
Received 15 February 2016
Revised 19 April 2016
Accepted 24 April 2016
InternationalJournal of
Accounting& Information
Management
Vol.25 No. 1, 2017
pp.2-20
©Emerald Publishing Limited
1834-7649
DOI 10.1108/IJAIM-02-2016-0014
corporate asset (Jennings et al., 1996). Goodwill valuation is also a key input when
assessing a rm’s future cash ows (Hayn and Hughes, 2006). Investors extract goodwill
information to form appropriate perceptions concerning a rm’s intangible assets.
Second, Accounting Standards Codication 350-20 (ASC 350-20), Goodwill and Other,
requires the goodwill impairment test if there is a decline in the fair value of a reporting
unit. Thus, goodwill is regarded as the most sensitive asset to a decline in rm value
(Filip et al., 2015). Third, goodwill impairment reects managerial inability to extract
value from prior acquisitions. Fourth, goodwill impairment is a leading indicator of
future rm performance stemming from the failure to realize the expected benets of
prior acquisitions (Li et al., 2011). Lastly, the frequency of goodwill impairments has
drastically increased and goodwill impairment losses have become economically
signicant events (Darrough et al., 2014).
We rst identify a sample including goodwill impairment rms from 2002 to 2014. We
start at 2002 because ASC 350-20 became effective that year. Our empirical results show a
negative relationship between the amount of goodwill impairment losses and bond credit
ratings, suggesting that rms with goodwill impairment losses receive lower credit ratings.
We perform various additional tests, including subsamples in good or bad market times,
changes analysis, rst-time impairments vs subsequent impairments and the two-stage least
squares regression analysis (2SLS), to address potential endogeneity issues. Our main
results persist. Overall, the ndings support our conjecture that goodwill impairment losses
and bond credit ratings are negatively associated.
Our study makes the following contributions. First, the paper links and contributes to two
streams of literature:
(1) goodwill impairment in accounting literature; and
(2) bond credit ratings in nance literature.
Whether a rm’s goodwill impairment losses affect the rm’s bond credit rating remains an
interesting question that has not been examined previously. To the best of our knowledge,
this is the rst study that directly examines the relationship between goodwill impairment
losses and bond ratings at the rm level. Second, this study is incremental to the literature on
the determinants of bond rating (Bhojraj and Sengupta, 2003;Ashbaugh-Skaife et al., 2006).
Although this study does not attempt to construct a prediction model for bond rating, the
ndings from this study provide an avenue for future research on bond ratings. The
inclusion of goodwill impairment may help users of nancial statements better assess
the credit rating. Third, our study complements the ndings and associated interpretations
in Ramanna and Watts (2012) and Li and Sloan (2015). Both studies suggest that managers
exploit the discretion granted by ASC 350-20 to manipulate or even delay goodwill
impairment because goodwill impairment leads to negative consequences such as reduced
stock price and reduced compensation. This study suggests another motivation for
managers to manipulate or delay goodwill impairment losses by providing evidence that
goodwill impairment leads to lower bond ratings. Fourth, the evidence continues to suggest
that credit rating agencies may directly use the information on goodwill impairment losses
when assessing a rm’s creditworthiness. From a practical perspective, the results should be
of interest to policymakers who design and implement guidelines on goodwill impairment
and credit rating.
The rest of this paper is organized as follows. Section 2 presents the literature review and
hypothesis development. Section 3 describes the research design, Section 4 presents the main
results and additional analyses, and, in Section 5, we conclude this study.
3
Goodwill
impairment
loss

Get this document and AI-powered insights with a free trial of vLex and Vincent AI

Get Started for Free

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex