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Information Journal Paper

Title

The Impact of Accounting Comparability and Consistency on Information Asymmetry: A Text Mining Approach

Pages

  133-150

Abstract

 The Aim of this paper is to Investigate The Impact of Accounting Comparability and Consistency on information asymmetry of Listed Companies in Tehran Stock Exchange. The Population of Research is Firms listed in TSE. the sample of Research Consist of 80Firms in Time-period of1389-1395. for Hypotheses testing, We Utilised Multivariate Pooling Data Regression. To Measure Accounting Consistency we Applied Text-mining Techniques(Vector Space Model). Research Findings Indicate that Accounting Comparability negatively impact the information asymmetryFindings also show that Accounting Consistency have a negative impact on information asymmetry. Overall, it seams that in Iran Capital market, Accounting Comparability as a one of the qualitative characteristic of accounting information is very important for users of accounting information and investors so that it lead to private information convert to public available for them. alSo, it seams that changing accounting methods and procedures is very important for capital market participants and By creating more ambiguity about the reasons of changing accounting methods lead to increase information asymmetry.

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  • Cite

    APA: Copy

    ZAFARI, SOBHAN, FOROUGHI, DARIUSH, & Kiani, Gholamhosein. (2019). The Impact of Accounting Comparability and Consistency on Information Asymmetry: A Text Mining Approach. MANAGEMENT ACCOUNTING, 12(41 ), 133-150. SID. https://sid.ir/paper/198851/en

    Vancouver: Copy

    ZAFARI SOBHAN, FOROUGHI DARIUSH, Kiani Gholamhosein. The Impact of Accounting Comparability and Consistency on Information Asymmetry: A Text Mining Approach. MANAGEMENT ACCOUNTING[Internet]. 2019;12(41 ):133-150. Available from: https://sid.ir/paper/198851/en

    IEEE: Copy

    SOBHAN ZAFARI, DARIUSH FOROUGHI, and Gholamhosein Kiani, “The Impact of Accounting Comparability and Consistency on Information Asymmetry: A Text Mining Approach,” MANAGEMENT ACCOUNTING, vol. 12, no. 41 , pp. 133–150, 2019, [Online]. Available: https://sid.ir/paper/198851/en

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