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.

تاریخ دریافت : 1402/06/21 تاریخ پذیرش : 1402/09/25 تاریخ انتشار : 1402/11/15

کلید واژه: Meta-Heuristic Algorithms, Loan sales, Bird flight algorithm, collective intelligence, Evolutionary model of loan sales,

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.

چکیده انگلیسی:

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.

منابع و مأخذ:

• Agarwal, S., & Singhvi, B. (2023). Creditor-controlled insolvency and firm financing– Evidence from India. Finance Research Letters, (54), 763-780. https://doi.org/10.1016/j.frl.2023.103813


• Akkoyun, C., Ersahin, N., & James, C. (2023). Crowded out from the beginning: Impact of government debt on corporate financing. Journal of Financial Intermediation, 26(1), 1-19. https://doi.org/10.1016/j.jfi.2023.101046


• Annan Abakah, A. (2023). The impact of term limits on municipal borrowing costs, Global Finance Journal, (56), 385-398. https://doi.org/10.1016/j.gfj.2023.100830


• Ardehi, A., Javanmard, H., & Pilevari, N. (2023). Designing a Model for Implementing the Fourth Generation Industry to Achieve Sustainable Development Goals in the Automotive Industry (Case Study: Iran KhodroCompany). Journal of System Management, 9(1), 37-52. https://doi.org/10.30495/jsm.2022.1964456.1671


• Augsburg, B., Caeyers, B.,Giunti, S., & Smets, S. (2023).Labeled loans and human capital investments. Journal of Development Economics, (162), 1-16. https://doi.org/10.1016/j.jdeveco.2023.103053


• Cashman, G., Harrison, D., Sheng, H. (2022).Short sales, short risk, and return predictability in Asia-Pacific real estate markets.Pacific-Basin Finance Journal, (73), 2046-2062. https://doi.org/10.1016/j.pacfin.2022.101775


• Carletti, E., Leonello, A., & Marquez, R. (2023). Loan guarantees, bank underwriting policies and financial stability. Journal of Financial Economics, 149(2), 260-295. https://doi.org/10.1016/j.jfineco.2023.04.013


• Dalvand, M. R., & zohdi, M. H. (2023). Virtual & Cyber Whistle Blowing Role of Brand Hate among Home Appliance Customers. Journal of System Management, 9(3), 249-261. https://doi.org/10.30495/jsm.2023.1977845.1750


• Davis, L., De Souza, J., & Rella, G. (2023). What are firms borrowing for? The role of financial assets. Journal of Economic Modelling, (125), 63-77. https://doi.org/10.1016/j.econmod.2023.106329


• Eugenia, L., Jun Kim, Y., & Lee, S. (2023). Fair value information and regulatory capital management using financial asset reclassification by Korean insurers. Journal of Finance Research Letters, (56), 1-23. https://doi.org/10.1016/j.frl.2023.104105


• Ejigu, M., & Desalegn, T. (2023). How does strategic planning influence the performance of financial institutions? An empirical study of Ethiopia. IIMB Management Review, 35(1), 26-39. https://doi.org/10.1016/j.iimb.2023.03.003


• Guedes, S., & Pinto, J. (2023). Pricing of project finance bonds: A comparative analysis of primary market spreads. Journal of Corporate Finance, (82), 269-283. https://doi.org/10.1016/j.jcorpfin.2023.102429


• Han, B. (2022). Currency denomination and borrowing cost: Evidence from global bonds. Journal of Multinational Financial Management, (66), 517- 530. https://doi.org/10.1016/j.mulfin.2022.100761


• Heidari, H., KabaranzadGhadim, M., & Aslizadeh, A. (2022). Interrelations among Business Model Components and their Role in a Business Model System. Journal of System Management, 8(2), 44-56. https://doi.org/10.30495/jsm.2022.1945363.1579


• Lathiya, D., Lukhi, N., & Parmar, K. (2023). A systematic review of decentralized finance protocols. International Journal of Intelligent Networks, (4), 171-181. https://doi.org/10.1016/j.compind.2023.104006


• Makanda, I., Jiang, P., & Yang, M. (2023). Emergence of collective intelligence in industrial cyber-physical-social systems for collaborative task allocation and defect detection. Journal of Computers in Industry, (152), 1-16. https://doi.org/10.1016/j.compind.2023.104006


• Mehri, G., Izadpanah, N., & JabbariAsl, S. (2023). Identifying Human Resource Management Indicators with a Strategic Tthinking Approach in the Organization for the Collection and Sale of Proprietary Property. Journal of System Management, 9(3), 193-207. https://doi.org/10.30495/jsm.2023.1977599.1747


• Nanda, R., & Gordon, P. (2023). Small firm financing: Sources, frictions, and policy implications. Handbook of the Economics of Corporate Finance, 64(1), 314-330. https://doi.org/10.1016/bs.hecf.2023.02.003


• Nishihara, M., Shibata, T., & Zhang, C. (2023). Corporate investment, financing, and exit model with an earnings-based borrowing constraint. International Review of Financial Analysis, (85), 955-971. https://doi.org/10.1016/j.irfa.2022.102456


• Sachan, S., & Swarnkar, P. (2023). Investigations on meta-heuristic algorithms for intelligent speed regulation of mobile robot. Journal of Results in Control and Optimization, (11), 687-699. https://doi.org/10.1016/j.rico.2023.100232


• Thapa, C., Rao, S., & Farag, H. (2020). Access to internal capital, creditor rights and corporate borrowing: Does group affiliation matter? Journal of Corporate Finance, (62), 833-847. https://doi.org/10.1016/j.jcorpfin.2020.101585


• Wu, J. (2023). Impacts of digital inclusive finance on household entrepreneurship. Finance Research Letters, (56), 309-325. https://doi.org/10.1016/j.frl.2023.104114


• Yan, X., Wang, X., & Liu, S. (2023). A U-shaped relationship between real financialization and financial risk: Evidence from a single threshold model. Journal of Finance Research Letters, (56), 114-127. https://doi.org/10.1016/j.frl.2023.104017