Gangless cross-evaluation in DEA: an application to stock selection
Keyword(s):
This paper discusses the impact of ganging decision making units (DMUs) on the cross-efficiency evaluation in data envelopment analysis (DEA). A group of DMUs are said to be ganging-together if the minimum and the maximum cross-efficiency scores they give to all other DMUs are identical. This study demonstrates that the ganging phenomenon can significantly influence the cross-efficiency evaluation in favour of some DMUs. To overcome this shortcoming, we propose a gangless cross-efficiency evaluation approach. The suggested method reduces the effect of ganging and generates a more diversified list of top performing units. An application to the Tehran stock market is used to show the benefits of gangless cross-evaluation.
2010 ◽
Vol 7
(3)
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pp. 387
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Keyword(s):
2020 ◽
Vol 12
(4)
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pp. 65-79
2014 ◽
Vol 2014
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pp. 1-12
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