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How relevant is the choice of risk management control variable to non-parametric bank profit efficiency analysis? The case of South Korean banks

Simper, Richard; Hall, Maximilian; Liu, Wenbin; Zelenyuk, Valentin; Zhou, Zhongbao

Authors

Richard Simper

Maximilian Hall

Wenbin Liu

Valentin Zelenyuk

Zhongbao Zhou



Abstract

Adopting a profit-based approach to the estimation of the technical efficiency of South Korean banks over the 2007Q3 to 2011Q2 period, we systematically analyse, within a non-parametric DEA analysis, how the choice of risk management control variable impacts upon such estimates. Using the model of Liu et al. (2010), we examine the dependency of the estimated technical efficiency scores on the chosen risk control variables embracing loan loss provisions and equity as good inputs and non-performing loans as a bad output. We duly find that, both for individual banks and banking groups, the mean estimates are indeed model dependent although, for the former, rank correlations do not change much at the extremes. Based on the application of the Simar and Zelenyuk (2006) adapted Li (1996) test, we then find that, if only one of the three risk control variables is to be included in such an analysis, then it should be loan loss provisions. We also show, however, that the inclusion of all three risk control variable is to be preferred to just including one, but that the inclusion of two such variables is about as good as including all three. We therefore conclude that the optimal approach is to include (any) two of the three risk control variables identified. The wider implication for research into bank efficiency is that the optimal choice of risk management control variable is likely to be crucial to both the delivery of un-biased estimates of bank efficiency and the specification of the model to be estimated.

Citation

Simper, R., Hall, M., Liu, W., Zelenyuk, V., & Zhou, Z. (2017). How relevant is the choice of risk management control variable to non-parametric bank profit efficiency analysis? The case of South Korean banks. Annals of Operations Research, 250(1), 105-127. doi:10.1007/s10479-015-1946-x

Journal Article Type Article
Acceptance Date Apr 14, 2015
Online Publication Date Aug 14, 2015
Publication Date 2017-03
Deposit Date Jun 28, 2017
Publicly Available Date Jan 24, 2019
Print ISSN 0254-5330
Publisher BMC
Peer Reviewed Peer Reviewed
Volume 250
Issue 1
Pages 105-127
DOI https://doi.org/10.1007/s10479-015-1946-x
Public URL https://nottingham-repository.worktribe.com/output/1104599
Publisher URL https://link.springer.com/article/10.1007%2Fs10479-015-1946-x

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