The Impact of Accounting Comparability and Consistency on Earning Quality: A Text-Mining Approach

The emergence of an accrual basis in the preparation of financial statements and the measurement of Accounting Earnings has led to the creation of quantitative, empirical and substantive research into the Earning Quality. Despite the extensive and contradictory research on the quality of earnings in the capital market, the issue of earning quality is still one of the most important issues of interest to market researchers. Some earnings research of the last decade has tended to use a qualitative approach such as text mining to provide a new measure of earnings quality. Therefore, the purpose of the present study is to investigate the impact of comparability and consistency of accounting practice on earnings quality with emphasis on qualitative text mining approach in order to provide a valid qualitative measure for evaluate earnings quality.The statistical population of the research is the companies listed in Tehran Stock Exchange .The study sample consisted of 90 companies in the period 2012-2109. was used Multivariate regression analysis to test the research hypotheses. Earnings quality in the present study was measured based on the quality of the company's accruals. Also, text mining technique (vector space model) was used to measure the consistency of accounting procedures. The results and findings of the study show that accounting comparability has a positive effect on earnings quality. The research findings and findings also confirm that by increasing the accounting consistency, the quality of the firm's earnings also increases.