Identifying the Most Important Factors Affecting Accruals in Iran's Capital Market and Examining How They Affect Over Time

Document Type : Research Paper

Authors

1 Islamic azad University of ali Abad Kathleen.

2 Assistant Professor, Department of Accounting , Ali Abad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran

Abstract

modeling based on linear regression, due to multiple regression assumptions; It mainly has high error; Therefore, in recent years, researches based on Bayesian approaches have been developed. Based on this, the main problem of the current research is to identify the most important factors affecting accruals in Iran's capital market in the short, medium and long term. The statistical sample of the research includes 171 companies of the Tehran Stock Exchange and over-the-counter companies in the period from 2011 to 2021. In this research, 58 variables affecting accruals were included in dynamic averaging (TVP-DMA), selective (TVP-DMS) and Bayesian (TVP-BMA) models. Among the mentioned models, the Bayesian averaging model was determined as the most efficient model. Based on the results, eleven variables with the highest level of influence on accruals were identified. Based on the results, the influence of the selected variables in the long-term period is stronger than the short-term period; This means that the level of profit management has increased in recent years; This has caused a decrease in the level of efficiency in the capital market.

Keywords

Main Subjects

References

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Journal of Accounting Advances
Volume 15, Issue 2
November 2023
Pages 161-188

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History

  • Receive Date: 25 July 2023
  • Revise Date: 10 January 2024
  • Accept Date: 11 December 2023

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