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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Detalles Bibliográficos
Autores principales: Alfiero, Simona, Esposito, Alfredo, Mensah, Emmanuel Kwasi, Toloo, Mehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Decision Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302247/
https://www.ncbi.nlm.nih.gov/pubmed/30581929
http://dx.doi.org/10.1016/j.dib.2018.11.048
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author Alfiero, Simona
Esposito, Alfredo
Mensah, Emmanuel Kwasi
Toloo, Mehdi
author_facet Alfiero, Simona
Esposito, Alfredo
Mensah, Emmanuel Kwasi
Toloo, Mehdi
author_sort Alfiero, Simona
collection PubMed
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.
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spelling pubmed-63022472018-12-21 A dataset of European banks in performance evaluation under uncertainty Alfiero, Simona Esposito, Alfredo Mensah, Emmanuel Kwasi Toloo, Mehdi Data Brief Decision Science 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. Elsevier 2018-11-14 /pmc/articles/PMC6302247/ /pubmed/30581929 http://dx.doi.org/10.1016/j.dib.2018.11.048 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Decision Science
Alfiero, Simona
Esposito, Alfredo
Mensah, Emmanuel Kwasi
Toloo, Mehdi
A dataset of European banks in performance evaluation under uncertainty
title 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_short A dataset of European banks in performance evaluation under uncertainty
title_sort dataset of european banks in performance evaluation under uncertainty
topic Decision Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302247/
https://www.ncbi.nlm.nih.gov/pubmed/30581929
http://dx.doi.org/10.1016/j.dib.2018.11.048
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