A Pattern for Measuring Quality of Financial Statements

Davanipour, Iraj; Blue, Ghasem; Amiri, Maghsoud

doi:10.22054/qjma.2019.44845.2033

Document Type : Research Paper

Authors

¹ PhD of Accounting, Allameh Tabataba'i University,Iran,Tehran

² Associated Professor of Accounting Department Allameh Tabataba'i University,Iran,Tehran

³ Professor of Industrial management Allameh Tabataba'i,Tehran ,Iran

https://doi.org/10.22054/qjma.2019.44845.2033

Abstract

This research aims to present a pattern for measuring the quality of financial statements. To achieve this aim, firstly by reviewing the literature and theoretical background and also running an expert interview, a collection of indexes related to the quality of financial statements are identified, and then by using a questionnaire and performing Fuzzy Delphi method and confirmatory factor analysis we have identified indexes which have a significant effect on the quality of financial statements. After that, using the analytic network process, we have measured the relative weight of each of those indexes (7 indexes) regarding their effect on the quality of financial statements. Lastly, by measuring each of the indexes, and then computing the weighted average of measurements of all indexes (7 indexes), the measure of the quality of financial statements is computed. For assessing the validity of the presented pattern, we have used a regression model for 57 companies listed in Tehran Exchange for years from 1394 to 1396. We have shown that consistent with the literature, there is a significant negative relationship between the quality of financial statements and cost of equity. This relationship proves that the presented pattern has enough validity for measuring the quality of financial statements. Results of this research have shown that average of measures of quality of financial statements for 57 selected firms during years 1394 to 1396 are improved.

Keywords

Main Subjects

Financial Accounting

References

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A Pattern for Measuring Quality of Financial Statements

References

References

Volume 18, Issue 72January 2022Pages 1-25

Volume 18, Issue 72
January 2022
Pages 1-25