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
Descripción
Sumario: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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