Mean-Variance Portfolio Optimization when each Asset has Individual Uncertain Exit-time

被引:4
|
作者
Keykhaei, Reza [1 ]
机构
[1] Khansar Fac Math & Comp Sci, Dept Math, Khansar, Iran
关键词
Mean-Variance portfolio optimization; Optimal portfolio; Uncertain exit-time; Asset uncertain exit-time;
D O I
10.18187/pjsor.v12i4.1251
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The standard Markowitz Mean-Variance optimization model is a single-period portfolio selection approach where the exit-time (or the time-horizon) is deterministic. In this paper the Mean-Variance portfolio selection problem has been studied with uncertain exit-time when each asset has individual uncertain exit-time, which generalizes the Markowitz's model. Some conditions are provided under which the optimal portfolio of the generalized problem is independent of the exit-times distributions. Also, it is shown that under some general circumstances, the sets of optimal portfolios in the generalized model and the standard model are the same.
引用
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页码:765 / 773
页数:9
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