Data on the financial performance of companies on BIST Sustainability 25 Index: An Entropy-based TOPSIS approach
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.
Authors
- İlker Kefe (ORCID: https://orcid.org/0000-0002-9945-5325)
- İrem Kefe (ORCID: https://orcid.org/0000-0003-0387-5833)
- Samet Evci (ORCID: https://orcid.org/0000-0002-5854-3847)
Institutions
- Osmaniye Korkut Ata University (TR)
Publication Details
- Journal
- Data in Brief
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1016/j.dib.2024.110959
- Citations
- 2
- Primary Topic
- Forecasting Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.98