Analysis of the Financial Performance of Brokerage Houses in the Istanbul Stock Exchange Using the Statistical Variance and Mean Weight-Based MABAC Method

Authors : Ümit Hasan Gözkonan, Gökhan Berk Özbek
Pages : 1305-1322
Doi:10.25295/fsecon.1581399
View : 89 | Download : 47
Publication Date : 2025-08-25
Article Type : Research Paper
Abstract :This study analyzes the financial performance of brokerage houses listed on the Istanbul Stock Exchange using the Multi-Attribute Border Approximation Area Comparison (MABAC) method, employing statistical variance and mean weight methods to determine criteria weights. Nine brokerage houses were selected, and their financial performance was evaluated through seven key financial ratios. These include liquidity ratios (current and cash ratios), financial structure ratios (leverage and financial debt ratios), and profitability ratios (return on assets, return on equity, and return on invested capital). The weighting of these criteria was determined through the statistical variance and mean weight methods, providing two distinct rankings that were consolidated using the Borda Count Method for a robust performance assessment. Each brokerage house’s financial performance was analyzed on an annual basis from 2017 to 2023. The findings reveal that although there is variability in the rankings of brokerage houses in terms of financial performance, the Borda scores obtained from the rankings of the years helped to reveal high-performing brokerage houses. As a result of the study, OSMEN was found to be a prominent brokerage house in terms of financial performance in the ranking based on total Borda scores. OYYAT ranked second and A1CAP ranked third in terms of financial performance. It is thought that the study can be used as a reliable reference for future performance analyses and can support more effective decision-making in terms of investment decisions in the sector.
Keywords : Aracı Kurum, Finansal Performans, İstatistiksel Varyans Yöntemi, Ortalama Ağırlık Yöntemi, MABAC Yöntemi

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