Presenting Evolutionary Model of Borrowing Sales using Collective Intelligence and Bird Flight Algorithm
محورهای موضوعی : Finance
Sadegh Hojjati
1
,
Arash Naderian
2
,
Majid Ashrafi
3
,
Jamadordi Gorganli Doji
4
1 - Ph.D. Candidate, Department of Accounting, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran.
2 - Assistant professor, Department of Accounting, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran.
3 - Assistant professor, Department of Accounting, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran.
4 - Assistant professor, Department of Accounting, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran.
کلید واژه:
چکیده مقاله :
The purpose of this article is to present the evolutionary model of loan sales using collective intelligence and meta-heuristic algorithms (bird flight algorithm). In terms of method, this research is in the category of quantitative research, and in terms of purpose, it is included in the category of applied research. The statistical population includes all active companies admitted to the Tehran Stock Exchange. This research has been investigated between 2011 and 2019 for active companies admitted to the Tehran Stock Exchange. The method of data collection is through library study and financial data of companies admitted to the stock exchange by referring to the financial statements and explanatory notes with the financial statements, and it has also been compiled using the Rahavard Novin software. Also, with the help of EViews 9 and MATLAB software, he presented a borrowing sales model, and in the next step, with the help of MATLAB software and the flight of bird's algorithm, he presented an evolutionary model of borrowing sales, in the end, by comparing the step-by-step regression model and the borrowing sales model. The findings showed that the borrowing sales model with the help of the bird flight algorithm has a higher efficiency.
The purpose of this article is to present the evolutionary model of loan sales using collective intelligence and meta-heuristic algorithms (bird flight algorithm). In terms of method, this research is in the category of quantitative research, and in terms of purpose, it is included in the category of applied research. The statistical population includes all active companies admitted to the Tehran Stock Exchange. This research has been investigated between 2011 and 2019 for active companies admitted to the Tehran Stock Exchange. The method of data collection is through library study and financial data of companies admitted to the stock exchange by referring to the financial statements and explanatory notes with the financial statements, and it has also been compiled using the Rahavard Novin software. Also, with the help of EViews 9 and MATLAB software, he presented a borrowing sales model, and in the next step, with the help of MATLAB software and the flight of bird's algorithm, he presented an evolutionary model of borrowing sales, in the end, by comparing the step-by-step regression model and the borrowing sales model. The findings showed that the borrowing sales model with the help of the bird flight algorithm has a higher efficiency.
