Financial performance evaluation of firms in BIST 100 index with ITARA and COBRA methods

Abstract Evaluating firms’ financial performance is important for survival in the competitive environment arising from technological advancements and gaining a competitive advantage. This study aims to assess the financial performances of firms traded on the Istanbul Stock Exchange 100 Index (Borsa Istanbul (BIST) 100 Index) between 2018 and 2022 using an integrated multi-criteria decision-making (MCDM) method. This is the first study to use a new combined approach proposed based on the indifference threshold-based attribute ratio analysis (ITARA) and cost estimation, benchmarking, and risk assessment (COBRA) methods, which have not been applied to corporate performance assessment. The ITARA method is used to find the weights of the criteria, and the ranking of the firms in terms of financial performance is obtained using the COBRA method. The results show that the firms with the highest financial performance are ISMEN, ALGYO, PGSUS, KOZAA, and IPEKE. The companies with the lowest financial performance are AKFGY, BAGFS, MGROS, KOZAL, and GOZDE. The results of this ranking provide important information for firms to recognize their position and for investors who want to invest in firms in the BIST 100 Index. Additionally, sensitivity analyses are performed to assess the impact of changes in the criteria on the ranking of the firms and to validate the results of the proposed method. A comparative analysis is made with different MCDM methods like the technique for order preference by similarity to ideal solution (TOPSIS), and combined compromise solution (CoCoSo) methods and Spearman’s rank correlation test results are presented. This approach leads to the conclusion that the proposed approach can be a useful and effective tool for assessing the financial performance of firms.

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Publication Details

Journal
Financial Innovation
Published
2025-01-10
DOI
https://doi.org/10.1186/s40854-024-00704-5
Citations
14
Primary Topic
Forecasting Techniques and Applications
Type
article
Field-Weighted Citation Impact
29.49
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article

Financial performance evaluation of firms in BIST 100 index with ITARA and COBRA methods

Dragan Pamučar, Ali Katrancı, Nilsen KUNDAKÇI
14 citations
Financial Innovation
Forecasting Techniques and Applications
29.49
article

Financial performance evaluation of firms in BIST 100 index with ITARA and COBRA methods

Dragan Pamučar, Ali Katrancı, Nilsen KUNDAKÇI
article en
14 citations

Abstract

Abstract Evaluating firms’ financial performance is important for survival in the competitive environment arising from technological advancements and gaining a competitive advantage. This study aims to assess the financial performances of firms traded on the Istanbul Stock Exchange 100 Index (Borsa Istanbul (BIST) 100 Index) between 2018 and 2022 using an integrated multi-criteria decision-making (MCDM) method. This is the first study to use a new combined approach proposed based on the indifference threshold-based attribute ratio analysis (ITARA) and cost estimation, benchmarking, and risk assessment (COBRA) methods, which have not been applied to corporate performance assessment. The ITARA method is used to find the weights of the criteria, and the ranking of the firms in terms of financial performance is obtained using the COBRA method. The results show that the firms with the highest financial performance are ISMEN, ALGYO, PGSUS, KOZAA, and IPEKE. The companies with the lowest financial performance are AKFGY, BAGFS, MGROS, KOZAL, and GOZDE. The results of this ranking provide important information for firms to recognize their position and for investors who want to invest in firms in the BIST 100 Index. Additionally, sensitivity analyses are performed to assess the impact of changes in the criteria on the ranking of the firms and to validate the results of the proposed method. A comparative analysis is made with different MCDM methods like the technique for order preference by similarity to ideal solution (TOPSIS), and combined compromise solution (CoCoSo) methods and Spearman’s rank correlation test results are presented. This approach leads to the conclusion that the proposed approach can be a useful and effective tool for assessing the financial performance of firms.

Financial InnovationVol. 11(1)
Western Caspian University (AZ), University of Belgrade (RS), Pamukkale University (TR), Yuan Ze University (TW)
Openalex Percentile: Top 0%
Forecasting Techniques and Applications
29.49
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