Mohammad Reza Abbaszadeh; Javad Rajabalizadeh; Mostafa Ghannad
Abstract
In firms with political connections, Related party transactions may be facilitate the goals of this. In other words, related party transactions in firms with political connections and existence influential members, could lead to abuse of company resources and therefore the earnings management. The purpose ...
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In firms with political connections, Related party transactions may be facilitate the goals of this. In other words, related party transactions in firms with political connections and existence influential members, could lead to abuse of company resources and therefore the earnings management. The purpose of this study, first, is examining the relationship between political connections and related party transactions, second, investigation the impact of political connections on relationship between the related party transactions and earnings management. In this paper, political connections are measured by factor analysis and including five variables: stock market value, assets book value, income taxes, number of employees and the insurance payment. In order to test the research hypotheses, we use 120 companies financial information in the Tehran Stock Exchange in the period 2010 to 2017 and analyze this information with multiple linear regression an panel data. The results showed a positive and significant relationship between political connections. also, not found significant relationship between related party transactions and earnings management, but with the addition of political connections, found positive relationship between the related party transactions and earnings management
Arash Ghorbani; Mohammad Reza Abbaszadeh
Abstract
Using a sample including 2642 observations of 2003-2016 annual data of firms listed in Tehran Security Exchange, this study investigates the implications of correlation between non-discretionary accruals and partitioning variables when testing the positive accounting theories hypotheses. In earnings ...
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Using a sample including 2642 observations of 2003-2016 annual data of firms listed in Tehran Security Exchange, this study investigates the implications of correlation between non-discretionary accruals and partitioning variables when testing the positive accounting theories hypotheses. In earnings management detection tests, it is common for researchers to use variables which partition their sample into two groups, for which differences in motivation for income manipulation are predicted. Since earnings management stimuli are assumed to be correlated with variables like firm performance, leverage or size, the use of these proxies are popular in empirical tests of positive accounting theories hypotheses. The correlation between non-discretionary accruals and the partitioning variable implies that part of the variation of non-discretionary accruals is generated by the partitioning variable. If accruals model does not control for the correlation, this part will be added to the discretionary accruals. In this study, we provide evidence that, when correlation between non-discretionary accruals and the above-mentioned partitioning variables remains uncontrolled, accrual-based models tend to generate measurement error in the estimate of discretionary accruals that significantly affects the sign and the magnitude of correlation between discretionary accruals and the partitioning variables. The findings of a Monte Carlo simulation also indicate that the Jones model relatively generates less type I error when it is adjusted to control for the relation between non-discretionary accruals and firm performance.
