A dataset of European banks in performance evaluation under uncertainty

被引：1

作者：

Alfiero, Simona ^{[1
]}

Esposito, Alfredo ^{[1
]}

Mensah, Emmanuel Kwasi ^{[2
,3
]}

Toloo, Mehdi ^{[3
]}

机构：

[1] Univ Torino, Dept Management, Turin, Italy

[2] Univ Insubria, Dept Econ, Varese, Italy

[3] VSB Tech Univ Ostrava, Dept Syst Engn, Ostrava, Czech Republic

来源：

DATA IN BRIEF | 2019年 / 22卷

关键词：

D O I：

10.1016/j.dib.2018.11.048

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The dataset contains financial indicators from the financial statements of 250 banks operating in Europe which are collated for the 2015 accounting year. First, the dataset is split into input and outputs measures. Then the preferred number of inputs and outputs in relation to the total number of data is selected according to the rule of thumb in data envelopment analysis (DEA). The dataset is related to the research article entitled "Robust optimization with nonnegative decision variables: A DEA approach" (Toloo and Mensah, 2018) [1]. The dataset can be used to evaluate the performance of banks and bank efficiency under uncertainty. (C) 2018 The Authors. Published by Elsevier Inc.

引用

页码：214 / 217

页数：4

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