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An approach to DEA-superefficiency in finance

Publication at Faculty of Mathematics and Physics |
2013

Abstract

We deal with a problem of identifying efficient investment opportunities on financial markets. We access efficiency using mean-risk profile of the considered opportunities and show that Data Envelopment Analysis (DEA) can be useful tool for this purpose.

We propose a way how to sort the efficient investment opportunities, which is known as superefficiency approach from the DEA literature. We show that our method is related to the traditional mean-risk efficiency based on multiobjective optimization principles.

In the numerical study, we access efficiency and superefficiency of representative US industry stock portfolios.