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.

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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
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article

Data on the financial performance of companies on BIST Sustainability 25 Index: An Entropy-based TOPSIS approach

İlker Kefe, İrem Kefe, Samet Evci
2 citations
Data in Brief
Forecasting Techniques and Applications
0.98
article

Data on the financial performance of companies on BIST Sustainability 25 Index: An Entropy-based TOPSIS approach

İlker Kefe, İrem Kefe, Samet Evci
article en
2 citations

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.

Data in BriefVol. 57
Osmaniye Korkut Ata University (TR)
Industry, innovation and infrastructure
Openalex Percentile: Top 21%
Forecasting Techniques and Applications
0.98
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