A dataset of European banks in performance evaluation under uncertainty

Simona Alfiero; Alfredo Esposito; Emmanuel Kwasi Mensah; Mehdi Toloo

doi:10.1016/j.dib.2018.11.048

A dataset of European banks in performance evaluation under uncertainty

Simona Alfiero, Alfredo Esposito, Emmanuel Kwasi Mensah, Mehdi Toloo^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	214-217
Number of pages	4
Journal	Data in Brief
Volume	22
DOIs	https://doi.org/10.1016/j.dib.2018.11.048
Publication status	Published - Feb 2019
Externally published	Yes

ASJC Scopus subject areas

General

Access to Document

10.1016/j.dib.2018.11.048

Cite this

@article{561e10975ca048e7984ccb1812a08a44,

title = "A dataset of European banks in performance evaluation under uncertainty",

abstract = "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.",

author = "Simona Alfiero and Alfredo Esposito and Mensah, {Emmanuel Kwasi} and Mehdi Toloo",

note = "Publisher Copyright: {\textcopyright} 2018 The Authors",

year = "2019",

month = feb,

doi = "10.1016/j.dib.2018.11.048",

language = "English",

volume = "22",

pages = "214--217",

journal = "Data in Brief",

issn = "2352-3409",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - A dataset of European banks in performance evaluation under uncertainty

AU - Alfiero, Simona

AU - Esposito, Alfredo

AU - Mensah, Emmanuel Kwasi

AU - Toloo, Mehdi

PY - 2019/2

Y1 - 2019/2

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85058647914&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85058647914&partnerID=8YFLogxK

U2 - 10.1016/j.dib.2018.11.048

DO - 10.1016/j.dib.2018.11.048

M3 - Article

AN - SCOPUS:85058647914

SN - 2352-3409

VL - 22

SP - 214

EP - 217

JO - Data in Brief

JF - Data in Brief

ER -

A dataset of European banks in performance evaluation under uncertainty

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this