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RouhaniRad, shayan, Akhavan Anvari, Mohammad Reza, Raissifar, Kamyar. (1402). An Integrated Ranking Model of Tehran Stock Exchange Companies Using Bayesian Best-Worst, CoCoSo, and MARCOS Methods (Case Study: Food and Beverage Companies). , (), -. doi: 10.30495/ijfma.2023.68893.1895
shayan RouhaniRad; Mohammad Reza Akhavan Anvari; Kamyar Raissifar. "An Integrated Ranking Model of Tehran Stock Exchange Companies Using Bayesian Best-Worst, CoCoSo, and MARCOS Methods (Case Study: Food and Beverage Companies)". , , , 1402, -. doi: 10.30495/ijfma.2023.68893.1895
RouhaniRad, shayan, Akhavan Anvari, Mohammad Reza, Raissifar, Kamyar. (1402). 'An Integrated Ranking Model of Tehran Stock Exchange Companies Using Bayesian Best-Worst, CoCoSo, and MARCOS Methods (Case Study: Food and Beverage Companies)', , (), pp. -. doi: 10.30495/ijfma.2023.68893.1895
RouhaniRad, shayan, Akhavan Anvari, Mohammad Reza, Raissifar, Kamyar. An Integrated Ranking Model of Tehran Stock Exchange Companies Using Bayesian Best-Worst, CoCoSo, and MARCOS Methods (Case Study: Food and Beverage Companies). , 1402; (): -. doi: 10.30495/ijfma.2023.68893.1895

An Integrated Ranking Model of Tehran Stock Exchange Companies Using Bayesian Best-Worst, CoCoSo, and MARCOS Methods (Case Study: Food and Beverage Companies)

International Journal of Finance & Managerial Accounting
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 05 آذر 1402  XML
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.30495/ijfma.2023.68893.1895
نویسندگان
shayan RouhaniRad email orcid 1؛ Mohammad Reza Akhavan Anvari2؛ Kamyar Raissifar3
1Department of Finance and Banking, Faculty of Accounting and Management, Allameh Tabatabai University, Tehran, Iran
2Department of Industrial and Commercial Management, Faculty of Humanities, University of Science and Culture, Tehran, Iran
3Department of Public Administration, Faculty of Management, University of Tehran, Iran
چکیده
The primary goal of this research is to use Multi-Criteria Decision-Making (MCDM) approaches to assess the performance and rank the firms listed on the Tehran Stock Exchange in the food and beverage industry. The calculation of financial ratios is a principal performance appraisal method. Some of these ratios were utilized to rank companies in this study. Nonetheless, the most challenging problem with studying financial ratios is that each financial metric examines a different facet of a company’s financial performance. As a result, managers and investors may be confused by financial ratios. Hence, solutions are required to overcome these constraints. MCDM methods can provide solutions. As a new MCDM method, the Bayesian Best-Worst was utilized to weight options in this study, given its benefits such as enhanced effectiveness of weights resulting from integrating multiple expert opinions and calculating factor ranking reliability. In addition, in light of the characteristics of MCDM approaches, the CoCoSo and MARCOS methods were used to rank 14 firms listed on the Tehran Stock Exchange in the food and beverage industry over three years (2018-2020). Ultimately, the Borda and Copeland methods were built on to integrate the results of the methods.
کلیدواژه‌ها
Ranking؛ Performance Appraisal؛ Multi-Criteria Decision-Making؛ Bayesian Best-Worst Method؛ CoCoSo Method and MARCOS Method
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