Abstract
We propose a way of using DEA cross-efficiency evaluation in portfolio selection. While cross efficiency is an approach developed for peer evaluation, we improve its use in portfolio selection. In addition to (average) cross-efficiency scores, we suggest to examine the variations of cross-efficiencies, and to incorporate two statistics of cross-efficiencies into the mean-variance formulation of portfolio selection. Two benefits are attained by our proposed approach. One is selection of portfolios well-diversified in terms of their performance on multiple evaluation criteria, and the other is alleviation of the so-called "ganging together" phenomenon of DEA cross-efficiency evaluation in portfolio selection. We apply the proposed approach to stock portfolio selection in the Korean stock market, and demonstrate that the proposed approach can be a promising tool for stock portfolio selection by showing that the selected portfolio yields higher risk-adjusted returns than other benchmark portfolios for a 9-year sample period from 2002 to 2011.
| Original language | English |
|---|---|
| Pages (from-to) | 361-368 |
| Number of pages | 8 |
| Journal | European Journal of Operational Research |
| Volume | 236 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jul 2014 |
Keywords
- Cross-efficiency
- Data envelopment analysis (DEA)
- Portfolio selection
- Stock market