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

Data Brief. 2018 Nov 14:22:214-217. doi: 10.1016/j.dib.2018.11.048. eCollection 2019 Feb.

Authors

Simona Alfiero¹, Alfredo Esposito¹, Emmanuel Kwasi Mensah^{2

3}, Mehdi Toloo³

Affiliations

¹ Department of Management, University of Torino, Italy.
² Department of Economics, University of Insubria, Italy.
³ Department of Systems Engineering, VŠB-Technical University of Ostrava, Czech Republic.

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.