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Predicting auditors' opinions using financial ratios and non-financial metrics: evidence from Iran

Hamid Zarei (Faculty of Management and Accounting, University of Sistan and Baluchestan, Zahedan, Iran and The Auditor of Supreme Audit Court of Fars Province, Shiraz, Iran)
Hassan Yazdifar (Department of Accounting, Finance and Economics, Bournemouth University, Poole, UK)
Mohsen Dahmarde Ghaleno (Department of Accounting, Higher Educational Complex of Saravan, Saravan, Iran)
Ramin azhmaneh (Department of Accounting, University of Sistan and Baluchestan, Zahedan, Iran)

Journal of Accounting in Emerging Economies

ISSN: 2042-1168

Article publication date: 11 June 2020

Issue publication date: 17 August 2020

985

Abstract

Purpose

The purpose of the paper is to investigate the extent to which a model based on financial and non-financial variables predicts auditors' decisions to issue qualified audit reports in the case of companies listed on the Tehran Stock Exchange (TSE).

Design/methodology/approach

The authors utilized data from the financial statements of 96 Iranian firms as the sample over a period of five years (2012–2016). A total of 480 observations were analysed using a probit model through 11 primary financial ratios accompanying non-financial variables, including the type of audit firm, auditor turnover and corporate performance, which affect the issuance of audit reports.

Findings

The results demonstrated high explanatory power of financial ratios and type of audit firm (the national audit organization vs other local audit firms) in explaining qualifications through audit reports. The predictive accuracy of the estimated model is evaluated using a regression model for the probabilities of qualified and clean opinions. The model is reliable, with 72.9% accuracy in classifying the total sample correctly to explain changes in the auditor's opinion.

Research limitations/implications

This study contains some limitations. First, it is likely that similar researches in developed countries set a large sample (e.g. over 1,000 firms) including more years, but the authors cannot follow such a trend due to data access restrictions. Second, banks and financial institutions, investment and holding firms are removed from the sample, because their financial structure is diverse. The third limitation of the study represents the different economic and cultural conditions of Iran compared to other countries. Future studies could focus on internal control material weaknesses or earnings management to predict audit opinion in emerging economies including Iran.

Practical implications

The paper has practical implications and can assist auditors in identifying factors motivating audit report qualifications, mainly in emerging economies.

Originality/value

The paper contributes to auditing research, since very little is known about the determinants of audit opinion in emerging markets including Iran; it also constitutes an addition to previous knowledge about audit opinion in the context of TSE. The paper is one of the rare studies predicting auditor opinions using both financial variables and non-financial metrics.

Keywords

Citation

Zarei, H., Yazdifar, H., Dahmarde Ghaleno, M. and azhmaneh, R. (2020), "Predicting auditors' opinions using financial ratios and non-financial metrics: evidence from Iran", Journal of Accounting in Emerging Economies, Vol. 10 No. 3, pp. 425-446. https://doi.org/10.1108/JAEE-03-2018-0027

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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