On consistency of stochastic dominance and mean–semideviation models

被引:0
作者
Włodzimierz Ogryczak
Andrzej Ruszczyński
机构
[1] Warsaw University of Technology,
[2] Institute of Control and Computation Engineering,undefined
[3] 00–665 Warsaw,undefined
[4] Poland,undefined
[5] e-mail: ogryczak@ia.pw.edu.pl,undefined
[6] Rutgers University,undefined
[7] Department of Management Science and Information Systems,undefined
[8] Piscataway,undefined
[9] NJ 08854,undefined
[10] USA,undefined
[11] e-mail: rusz@rutcor.rutgers.edu,undefined
来源
Mathematical Programming | 2001年 / 89卷
关键词
Key words: decisions under risk – stochastic dominance – mean–risk models – portfolio optimization; Mathematics Subject Classification (2000): 91B06, 90C15, 91B28;
D O I
暂无
中图分类号
学科分类号
摘要
We analyze relations between two methods frequently used for modeling the choice among uncertain outcomes: stochastic dominance and mean–risk approaches. New necessary conditions for stochastic dominance are developed. These conditions compare values of a certain functional, which contains two components: the expected value of a random outcome and a risk term represented by the central semideviation of the corresponding degree. If the weight of the semideviation in the composite objective does not exceed the weight of the expected value, maximization of such a functional yields solutions which are efficient in terms of stochastic dominance. The results are illustrated graphically.
引用
收藏
页码:217 / 232
页数:15
相关论文
empty
未找到相关数据