shokrollah khajavi; Hashem Nasirifar; Mohammad-Hossein Ghadirian-Arani
Abstract
Due to the benefits of political connections and the lower necessity of responding to market pressures to increase information quality by politically connected firms, it is expected that these firms will provide low-quality accounting information. With respect to the extended role of government in the ...
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Due to the benefits of political connections and the lower necessity of responding to market pressures to increase information quality by politically connected firms, it is expected that these firms will provide low-quality accounting information. With respect to the extended role of government in the economy of Iran, this study aims to investigate the impact of political connections on the accounting information quality of the firms listed in the Tehran Stock Exchange (TSE). The statistical sample includes 101 listed firms over the 2010-2018 period. Financial restatement and the intensity of financial restatement are used as indicators of the low quality of accounting information. To achieve the research objectives, two hypotheses have been proposed, and to test the hypotheses, the logistic regression and the multiple linear regression analysis in a panel data model were conducted. The results show that political connections have a positive effect on the occurrence and the intensity of financial restatement. Therefore, it seems that the firms' accounting information quality is affected by their political connections.
Zohreh Arefmanesh; Mohammad-Hossein Ghadirian-Arani; Zohreh Ghadirian Arani
Abstract
The main purpose of this study is to investigation the relationship between financial distress and restatement of financial statement for listed companies on the Tehran Stock Exchange (TSE). Consequently, in this study a sample of 107 nonfinancial listed companies on the TSE from 2010 to 2016 were investigated. ...
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The main purpose of this study is to investigation the relationship between financial distress and restatement of financial statement for listed companies on the Tehran Stock Exchange (TSE). Consequently, in this study a sample of 107 nonfinancial listed companies on the TSE from 2010 to 2016 were investigated. Emerging Market Scoring (EMS) model was used for determining the financial distress and bankruptcy risk. In conducting this study, two main hypotheses were proposed. Comparison of means tests (t-test) and multiple linear regression analysis on panel data were used to test these hypotheses. The research results showed that there is no significant difference between the magnitude of financial restatement in financially distressed and non-distressed companies. However, bankruptcy risk is positively related to magnitude of financial restatement. That is, the more the bankruptcy risk, the more magnitude of financial restatement.
