نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکترا، گروه حسابداری، واحد کرمانشاه، دانشگاه آزاد اسلامی، کرمانشاه، ایران
2 استادیار، گروه حسابداری، واحد کرمانشاه، دانشگاه آزاد اسلامی، کرمانشاه، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Today, profit rates and the possibility of managing and manipulating the profits are clear to all, and researchers have always sought solutions to remove the uncertainties facing investors and stakeholders when making their financial decisions. To clarify users' decision path of financial data users, Beneish (1999) has developed a profit-management predicting model that has yielded different results in different societies. Thus, this article aims to optimize and localize Beneish’s model by adding the Tunneling variable to Beneish’s variable and using a modern neural network and particle swarm algorithms. The statistical research population consisted of 196 companies listed at the Tehran Stocks Exchange from 2014 to 2019. The research method was a descriptive-library method in which the variables are interrelated through the causal-correlational method. From an objective point of view, it is an Ex-Post Facto research design. To analyze the data, the regression method and artificial neural and the PSO algorithms were used. The model analysis results suggested that all financial ratios had significant effects on Beneish’s profit management, as the Tunneling phenomenon and the financial leverage had the highest and lowest effects on predicting Beneish’s profit management, respectively.
کلیدواژهها [English]