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An analysis of Korean bank performance using chance-constrained data envelopment analysis

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  • Yong Joo Lee
  • Seong-Jong Joo
  • Taewon Hwang

Abstract

For measuring the performance of firms using data envelopment analysis (DEA), many studies assume that inputs and outputs are deterministic. For example, key indicators for financial institutes such as assets, deposits, number of employees and profits vary over time. Nonetheless, researchers take snapshots of these numbers and analyse them for performance measurement and benchmarking. Similarly, it is not an exception for the studies with DEA for Korean financial institutes. We allow inputs and/or outputs to be stochastic and analyse the comparative performance of Korean banks. We found that large or top five banks were inconsistent sensitivity on the variability of inputs and/or outputs across models. The contributions of our study include demonstrating DEA analysis using stochastic inputs and outputs for the Korean banks and providing realistic insights to the managers of the banks.

Suggested Citation

  • Yong Joo Lee & Seong-Jong Joo & Taewon Hwang, 2020. "An analysis of Korean bank performance using chance-constrained data envelopment analysis," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 38(4), pages 525-543.
    • Handle: RePEc:ids:ijores:v:38:y:2020:i:4:p:525-543
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    Cited by:

    1. Fahad Alismail & Mohamed A. Abdulgalil & Muhammad Khalid, 2021. "Optimal Coordinated Planning of Energy Storage and Tie-Lines to Boost Flexibility with High Wind Power Integration," Sustainability, MDPI, vol. 13(5), pages 1-17, February.

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