The impact of audit quality on earnings predictability

Hussainey, Khaled (2009) The impact of audit quality on earnings predictability. Managerial Auditing Journal, 24 (4). pp. 340-351. doi:10.1108/02686900910948189

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Abstract

Purpose – The purpose of this paper is to examine the impact of audit quality, measured by financial statements audited by the big four accounting firms, on the investors' ability to predict future earnings for profitable and unprofitable firms. Design/methodology/approach – The paper uses the returns‐earnings regression model and interacts all independent variables in this model with a dummy variable, AUDIT, which is set to equal one if financial statements audited by the big four accounting firms, zero otherwise. Future earnings response coefficient is the measure of earnings predictability. Findings – The paper finds that investors are able to better anticipate future earnings when financial statements are audited by the big four accounting firms. However, the findings are not applicable for unprofitable firms. Practical implications – The findings of the paper have implications for auditing related academic research and the users of financial statements. In particular, the study shows that the big four accounting firms have not lost their audit quality advantage and that financial statements audited by the big four accounting firms are arguably of higher quality than those audited by non‐big four accounting firms. Originality/value – It is believed that there is no UK study to date examining the association of the quality of financial statements audited by the big four accounting firms and the returns‐earnings association. Consequently, this paper significantly contributes to the limited literature on the perceived value relevance of audit quality.

Item Type:	Article
Article Type:	Article
Uncontrolled Keywords:	Financial reporting, Auditing standards, Disclosure, Organizational earnings, Economic returns, United Kingdom
Subjects:	H Social Sciences > HF Commerce H Social Sciences > HG Finance
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Ineke Tijsma
Date Deposited:	25 Mar 2015 17:52
Last Modified:	07 Aug 2023 15:10
URI:	https://eprints.glos.ac.uk/id/eprint/1554

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