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Mathematics 2019, 7(1), 73; https://doi.org/10.3390/math7010073

Assessing Bank Performance Using Dynamic SBM Model

1
Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
2
Department of Industrial Engineering and Management, Fortune Institute of Technology, Kaohsiung 83160, Taiwan
*
Authors to whom correspondence should be addressed.
Received: 23 November 2018 / Revised: 18 December 2018 / Accepted: 29 December 2018 / Published: 11 January 2019
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Abstract

Global economic growth has led banks to expand their operations all over the world. The purpose of this research was to understand the efficiency of 18 large bank from all over the world during the period from 2013 to 2017. The performance was estimated by a dynamic slacks-based measure (SBM) model in data envelopment analysis (DEA). This model could be solved using inputs, outputs, and links. The banks variables were considered as follows: Assets, capitalization, and liabilities as inputs; revenue as output; and net interest income as a good link. The final empirical results exhibit the efficiency for each term, and the overall score. The data analysis recommends a feasible solution to refine inefficient terms based on the projections (slacks). This study visually observed the proficiency of the banking industry to equip enterprises with the best choice for their finances. View Full-Text
Keywords: large bank company; dynamic SBM model; data envelopment analysis (DEA); efficiency; projection large bank company; dynamic SBM model; data envelopment analysis (DEA); efficiency; projection
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Wang, C.-N.; Luu, Q.-C.; Nguyen, T.-K.-L.; Day, J.-D. Assessing Bank Performance Using Dynamic SBM Model. Mathematics 2019, 7, 73.

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