Examining the Effect of Information Asymmetry in the Effect of Categorization Change on Investment Efficiency

The primary goal of this research is to look at the impact of classification changes on investment efficiency and how information asymmetry plays a role. Two hypotheses were constructed to examine this research, and linear regression patterns based on composite data were employed to evaluate the hypotheses. The financial statements of 191 firms listed on the Tehran Stock Exchange between 2015 and 2020 were used for this purpose. The current study's method is applied in terms of purpose and correlational in terms of method and nature. Because the data in question is actual and historical, the study is categorized as Ex-Post Facto. The observations were analyzed by spreadsheet and Eviews 10 software. The study's findings and testing of research hypotheses revealed that categorization changes had a significant and inverse influence on investment efficiency. The connection between classification change and investment efficiency is significantly inversely affected by information asymmetry.