Investigation of the Relationship between Accounting Conservatism and Earnings Management Using Benford's Law in Listed Companies of Tehran Stock Exchange
Daruosh Foroghi,
Moslem Tahmasbi and
Mohammad Bakhtiarvand
International Journal of Management, Accounting and Economics, 2018, vol. 5, issue 4, 244-259
Abstract:
The present study investigates the relationship between accounting conservatism and earnings management using Benford's Law. In this study, the quantitative index of conservatism (cscore) by Khan & Watts (2009) was considered as the accounting conservatism. Target sample includes 363 listed companies in Tehran Stock Exchange during 1999-2015. Divergence between the actual earning and loss frequencies and Benford' distribution has been taken into account. Chi-square and Z-statistic tests, regards to degrees of conservatism were applied. The results revealed that in companies with low or high levels of conservatism, distribution of earning and lose first to fourth digits follow Benford's law. However the distribution of first and second digits of earning, and first to fourth digits of losses differ from the expected distribution when there is an increase in conservatism. Divergence between the third and fourth digits and expected distribution reduced, when conservatism increases.
Keywords: Accounting conservatism; Benford's law; Earnings Management (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.ijmae.com/article_114749_7f720bbf75ca938c6adcb570530a0ce4.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:air:journl:v:5:y:2018:i:4:p:244
DOI: 10.5281/zenodo.17557637
Access Statistics for this article
More articles in International Journal of Management, Accounting and Economics from International Journal of Management, Accounting and Economics
Bibliographic data for series maintained by Dr. Behzad Hassannezhad Kashani ().