BIST 可持续发展 25 指数公司的财务业绩数据：基于熵的 TOPSIS 方法

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-09-19 DOI:10.1016/j.dib.2024.110959

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引用次数: 0

摘要

在这篇数据文章中，采用了基于熵的 TOPSIS 技术来评估公司基于现金流的财务绩效。研究涵盖了在伊斯坦布尔证券交易所（Borsa Istanbul Stock Exchange）上市并在 2018 年至 2022 年期间被纳入 BIST 可持续发展 25 指数的公司数据。数据集中考虑的绩效指标分为多个类别，包括流动性、运营效率、财务结构和盈利比率。数据集来自公司资产负债表、损益表和现金流量表。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.