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Iranian Economic Review، جلد ۲۹، شماره ۳، صفحات ۹۰۵-۹۳۵
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عنوان انگلیسی Empirical Analysis of Factors Affecting Financial Distress at Companies: An Emphasis on Data Mining Models
چکیده انگلیسی مقاله This study aimed to analyze the effects of macroeconomic factors (e.g., inflation, economic growth, currency exchange rate, and market competitiveness), managerial characteristics (e.g., ability, optimism, entrenchment, and myopia), and corporate governance (e.g., institutional shareholders, ownership concentration, number of shareholders, and managerial independence) on the financial distress risks of companies listed in the Tehran Stock Exchange. For this purpose, data mining models (e.g., Artificial neural networks and decision trees) were used along with the regression method to analyze a sample of 140 TSE-listed companies within the 2007–2020 period. The research results indicated that macroeconomic factors (i.e., external factors) and managerial characteristics (i.e., internal factors) were identified as the first and second most effective factors in the financial distress risk of companies, respectively. However, corporate governance variables were identified as the least effective factors. According to the results of ranking the effects of research variables on financial distress risk, the most effective variables were identified as market competitiveness, managerial myopia, and inflation.
کلیدواژه‌های انگلیسی مقاله Data Mining,Empirical Analysis,Financial distress
نویسندگان مقاله Mohsen Lotfi |
Department of Accounting, Faculty of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran.

Seyed Hosein Seyedi |
Department of Accounting, Faculty of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran.

نشانی اینترنتی https://ier.ut.ac.ir/article_95926_f78e03b7e2db893940034cdf86b169ce.pdf
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