作者: Sungmook Lim , Kwang Wuk Oh , Joe Zhu
DOI: 10.1016/J.EJOR.2013.12.002
关键词: Microeconomics 、 Stock market 、 Benchmark (surveying) 、 Application portfolio management 、 Portfolio optimization 、 Portfolio 、 Econometrics 、 Computer science 、 Post-modern portfolio theory 、 Sample (statistics) 、 Selection (genetic algorithm)
摘要: 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 addition to (average) scores, suggest examine the variations cross-efficiencies, and incorporate two statistics cross-efficiencies into mean-variance formulation Two benefits are attained by our proposed approach. One selection portfolios well-diversified terms their performance on multiple criteria, other alleviation so-called “ganging together” phenomenon apply stock Korean market, demonstrate that can be promising tool showing selected yields higher risk-adjusted returns than benchmark 9-year sample period from 2002 2011.