Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/11202
Title: Industry Evidence on Earnings Management - A Comparative Analysis of Accounting Models
Contributor(s): Sun, Lan  (author); Farooque, Omar  (author)orcid 
Publication Date: 2012
Handle Link: https://hdl.handle.net/1959.11/11202
Abstract: This study traces the development of accounting models in capturing corporate earnings management behaviour, with particular focus on discretionary accruals. The primary reason is to shed light on whether changes in accounting model can improve the detection of earnings manipulation and whether there exists any industry bias towards such behaviour. Using 5,947 firm-year observations of Australian sample of listed firms for 8-year period from 1999 to 2006, this study tests and compares earnings management behaviour across wide industries by using Jones Model, Modified Jones Model, Cash Flow Modified Jones Model, and Performance Adjusted Technique. The results show that Performance Adjusted Technique outperforms over other models in providing an improved way of detecting earnings management. Moreover, a high magnitude of earnings management is found in Energy, Industrials, Health Care, Information Technology and Telecommunication & Utilities. Industry evidence on earnings management may prompt regulators to reinforce corporate governance and require additional disclosure from some industries and further examine the extent to which disclosed financial information distorts the information underlying the true economic performance.
Publication Type: Journal Article
Source of Publication: Academy of Taiwan Business Management Review, 8(2), p. 120-130
Publisher: Taiwan Institute of Business Administration, Taiwan Sheng Gongshang Guanli Xuehui
Place of Publication: Taiwan
ISSN: 1813-0534
Fields of Research (FoR) 2008: 150202 Financial Econometrics
Fields of Research (FoR) 2020: 350203 Financial econometrics
Socio-Economic Objective (SEO) 2008: 900101 Finance Services
Socio-Economic Objective (SEO) 2020: 110201 Finance services
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
UNE Business School

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