A dataset of European banks in performance evaluation under uncertainty
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 da...
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doaj-e1085db70ee34b95a1956e568990fa762020-11-25T01:49:40ZengElsevierData in Brief2352-34092019-02-0122214217A dataset of European banks in performance evaluation under uncertaintySimona Alfiero0Alfredo Esposito1Emmanuel Kwasi Mensah2Mehdi Toloo3Department of Management, University of Torino, ItalyDepartment of Management, University of Torino, ItalyDepartment of Economics, University of Insubria, Italy; Department of Systems Engineering, VŠB-Technical University of Ostrava, Czech RepublicDepartment of Systems Engineering, VŠB-Technical University of Ostrava, Czech Republic; Correspondences to: Sokolska třida 33, 702 00 Ostrava 1, Ostrava, Czech Republic.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.http://www.sciencedirect.com/science/article/pii/S2352340918314410 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Simona Alfiero Alfredo Esposito Emmanuel Kwasi Mensah Mehdi Toloo |
spellingShingle |
Simona Alfiero Alfredo Esposito Emmanuel Kwasi Mensah Mehdi Toloo A dataset of European banks in performance evaluation under uncertainty Data in Brief |
author_facet |
Simona Alfiero Alfredo Esposito Emmanuel Kwasi Mensah Mehdi Toloo |
author_sort |
Simona Alfiero |
title |
A dataset of European banks in performance evaluation under uncertainty |
title_short |
A dataset of European banks in performance evaluation under uncertainty |
title_full |
A dataset of European banks in performance evaluation under uncertainty |
title_fullStr |
A dataset of European banks in performance evaluation under uncertainty |
title_full_unstemmed |
A dataset of European banks in performance evaluation under uncertainty |
title_sort |
dataset of european banks in performance evaluation under uncertainty |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2019-02-01 |
description |
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. |
url |
http://www.sciencedirect.com/science/article/pii/S2352340918314410 |
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