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Data on the financial performance of companies on BIST Sustainability 25 Index: An Entropy-based TOPSIS approach
İlker Kefe1, Samet Evci1, İrem Kefe2
1Faculty of Economics and Administrative Sciences, Osmaniye Korkut Ata University, Osmaniye, Türkiye.
Abstract:
In this data article, the Entropy-based TOPSIS technique is employed to assess the cash flow-based financial performance of companies. The study encompasses data from companies listed on the Borsa Istanbul (İstanbul Stock Exchange) and included in the BIST Sustainability 25 Index between 2018 and 2022. The performance metrics considered in the dataset are grouped into categories including liquidity, operational efficiency, financial structure, and profitability ratios. The dataset is derived from company balance sheets, income statements, and cash flow statements.
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