نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مالی، دانشکده مدیریت و حسابداری، واحد کرج، دانشگاه آزاد اسلامی، کرج، ایران.

2 گروه مدیریت مالی، موسسه آموزش عالی آیندگان، تنکابن، ایران.

چکیده

این پژوهش بر اساس روش مبتنی بر منطق به تجزیه‌وتحلیل مالی دوپونت از عملکرد تجاری 30 شرکت بزرگ بازار سرمایه تهران برای دوره زمانی 1398 الی 1400 پرداخته است. در این پژوهش با استفاده از مدل ریاضی به تجمیع منطقی مولفه‌ها به‌منظور مدل‌سازی الگوهای احتمالی مطابق با مدل‌های تجاری استفاده شده است. هم‌چنین مدل‌های ریاضی به‌دست‌آمده برای محاسبه سطح تحقق الگوهای مشاهده‌شده استفاده گردید. نتایج به‌دست‌آمده نشان داد که تجمیع منطقی سوای از مدل‌های اقتصادسنجی می‌تواند برای تحلیل عملکرد مالی شرکت‌ها بر اساس نسبت دوپونت مناسب باشد و هم‌چنین از بین شرکت‌های بزرگ بورس اول بانک ملت (با وزن %49)، دوم مخابرات ایران (با وزن %48) و سوم پتروشیمی ‎بوعلی سینا با وزن (%28) بالاترین کیفیت برای سرمایه‌گذاری را بر اساس الویت سرمایه‌گذاری را کسب کردند.

کلیدواژه‌ها

عنوان مقاله [English]

Analysis of financial ratios of dupont with logical aggregation approach: evidence from thirty large companies of Tehran stock exchange

نویسندگان [English]

  • Meysam Kaviani 1
  • Fatemeh Gholipour 2

1 Department of Finance, Faculty of Management and Accounting, Karaj Branch, Islamic Azad University, Karaj, Iran.

2 Department of Financial Management, Ayendag Institute of Higher Education, Tonkabon, Iran.

چکیده [English]

This research, based on logic-based method, has analyzed DuPont's financial performance of 30 large companies in Tehran's capital market for the period 1398 to 1400. In this research, using a mathematical model, logical aggregation of components has been used in order to model possible patterns according to business models. Also, the obtained mathematical models were used to calculate the level of realization of the observed patterns. The obtained results showed that logical aggregation, apart from econometric models, can be suitable for analyzing the financial performance of companies based on the DuPont ratio, and also among the large companies on the stock exchange, Bank Mellat (with a weight of 49%), Iran telecom (with a weight of 49%) 48% and Boali Sina Petrochemical with weight (28%) got the highest quality for investment based on investment priority.

کلیدواژه‌ها [English]

  • Return on assets
  • Return on equity
  • DuPont
  • Logical aggregation
[1]   Hedayat Mazhari, R., Khoramabadi, M., & Lashgar Ara, S. (2021). Assessing efficiency using data envelopment analysis method and its relation to financial ratios. Financial accounting research, 13(3), 89–110. DOI:10.22108/far.2022.129532.1785
[2]   Fridson, M. S., & Alvarez, F. (2022). Financial statement analysis: a practitioner’s guide. John Wiley & Sons.
[3]   Bojadziev, G., & Bojadziev, M. (1995). Fuzzy sets, fuzzy logic, applications (Vol. 5). World scientific.
[4]   Zadeh, L. A. (1968). Fuzzy algorithms. Information and control, 12(2), 94–102.
[5]  Ertuugrul, Í., & Karakacsouglu, N. (2007). Fuzzy topsis method for academic member selection in engineering faculty [presentation]. Innovations in e-learning, instruction technology, assessment, and engineering education (pp. 151–156).
[6]  Tavakkoli, M., Jamali, A., & Ebrahimi, A. (2010). new method to evaluate financial performance of companies by fuzzy logic: case study, drug industry of Iran. Asia pacific journal of finance & banking research, 4(4), 15–24.
[7]  McIvor, R. T., McCloskey, A. G., Humphreys, P. K., & Maguire, L. P. (2004). Using a fuzzy approach to support financial analysis in the corporate acquisition process. Expert systems with applications, 27(4), 533–547.
[8]   Chen, L.-H., & Chiou, T.-W. (1999). A fuzzy credit-rating approach for commercial loans: a Taiwan case. Omega, 27(4), 407–419.
[9]   Kumar, P. R., & Ravi, V. (2007). Bankruptcy prediction in banks and firms via statistical and intelligent techniques--A review. European journal of operational research, 180(1), 1–28.
[10] Rakicevic, A., Dobric, V., & Radojevic, D. (2010). Selection of equity securities with logical aggregation. In Computational intelligence: foundations and applications (pp. 603–609). World Scientific. https://doi.org/10.1142/9789814324700_0091
[11] Fakhrhosseini, F., & Kaviani,  M. (2023). Predicting operational profitability using Dupont analysis: insurance companies listed in the Tehran stock market. Scientific journal of budget and finance strategic research, 4(1), 111–134. https://fbarj.ihu.ac.ir/article_208060.html
[12] Nozohoor, N., & Kaviani, M. (2020). Analysis of the relationship between dupont ratio and dividend policy (tobit and logit regression analysis approach). Innovation management and operational strategies, 1(2), 114–125. DOI:10.22105/imos.2020.261602.1020
[13] Montazeri,  Z., & Kaviani, M. (2018). Investigating the possibility of using the DuPont ratio in order to predict profitability and stock returns (case study: pharmaceutical industry of Tehran Stock Exchange). Journal of accounting and management vision, 1(1), 77–89. DOI:/JAMV.2018.1006
[14] Nazemi, J., Asgari, M. R., & Banijamali, S. A. (2012). Fuzzy expert system for financial ratio analysis (case study: cement industry). International journal of industrial engineering, 23(3), 363–374. https://www.sid.ir/paper/65427/en
[15] Rakićević, A., Milošević, P., Petrović, B., & Radojević, D. G. (2016). DuPont financial ratio analysis using logical aggregation [presentation]. Soft computing applications: proceedings of the 6th international workshop soft computing applications (sofa 2014), volume 2 (pp. 727–739). https://doi.org/10.1007/978-3-319-18416-6_57
[16] Shabani, H., Morina, F., & Berisha, A. (2021). Financial performance of the SMEs sector in Kosovo: an empirical analysis using the DuPont model. International journal of sustainable development and planning, 16, 819–831.
[17] Li, X. (2021). DuPont analysis on the financial capacity of midea and gree company [presentation]. 2021 3rd international conference on economic management and cultural industry (icemci 2021) (pp. 702–706).
[18] Hammer, P. L., Kogan, A., & Lejeune, M. A. (2012). A logical analysis of banks’ financial strength ratings. Expert systems with applications, 39(9), 7808–7821.
[19] Pourabdolahian Tehrani, R., Talebnia, G., & Asadnia, J. (2021). Evaluation and ranking of factors affecting the profitability of pharmaceutical companies listed on the Tehran Stock Exchange using a hybrid model of fuzzy hierarchical analysis process. Journal of investment knowledge, 10(38), 487–498. https://jik.srbiau.ac.ir/article_17536.html