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The impairment test of goodwill

An empirical analysis of incentives for earnings management in Italian publicly traded companies

Bibliographic Data

ID15066652
AuthorsBojana Korošec (Faculty of Economic and Business Sciences, Department of Accounting and Auditing, University of Maribor, Maribor, Slovenia), Mateja Jerman (0000-0003-3980-5079, Faculty of Management, Department of Accounting and Auditing, University of Primorska, Koper, Slovenia, corresponding author), Polona Tominc (0000-0001-7172-2316, Faculty of Economic and Business Sciences, Department of Quantitative Economic Analysis, University of Maribor, Maribor, Slovenia)
Year2016
Volume29
Issue1
Pages162-176
Publication date2016-01-01
Open AccessYes
TypeARTICLE
VenueEconomic Research-Ekonomska Istraživanja (JOURNAL)
Journal identifiersISSN: 1331-677X • E-ISSN: 1848-9664
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1331677x.2016.1164923
OpenAlexW2343423942
LanguageEN
References cited19

Since the current International Accounting Standard 36 introduced substantial subjectivity while testing goodwill for impairment, this study aims to establish if management exploits the discretion and performs the impairment test of goodwill opportunistically. The presence of discretion, while applying impairment test, is tested on the sample of Italian publicly traded companies in the period of the current financial crisis. Despite the fact that the sample of companies consists of those with market to book ratio less than one, only 26% of the companies recorded a goodwill write-off. The logistic regression was used to test contracting and reporting incentives. The results of the analysis indicate that even in the case of IFRS users some incentives exist, while recognising the impairment losses of goodwill

Actuarial science · Business · Discretion · Earnings · Earnings Management · Economics · Goodwill · Incentive · Auditing, Earnings Management, Governance · Corporate Finance and Governance · Financial Reporting and Valuation Research · Accounting

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Highly citedNo

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