Skewness persistence with optimal portfolio selection

被引:67
|
作者
Sun, Q [1 ]
Yan, YX [1 ]
机构
[1] Nanyang Technol Univ, Nanyang Business Sch, Div Banking & Finance, Singapore 639798, Singapore
关键词
skewness persistence; mean-variance-skewness efficient portfolios; re-balance; bootstrap method; polynomial goal programming;
D O I
10.1016/S0378-4266(02)00247-9
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Existing studies have found that ex post stock returns are positively skewed, but such skewness is only persistent for individual stocks, not for portfolios. This implies that the ex post knowledge of skewness may not be useful in ex ante portfolio selection. However, the portfolios in these studies are not optimally formed because preferences for skewness are not taken into consideration when forming these portfolios. It is more meaningful to see if the positive skewness would persist in optimally formed mean-variance-skewness efficient portfolios. Using stocks from both Japanese and US markets and a bootstrap method, we find that the portfolios optimally formed by using a polynomial goal programming method, which considers preference for skewness, greatly enhances skewness persistence over time. Our results are robust across both Japanese and US stocks. However, the skewness persistence is stronger for portfolios formed with monthly data than that with weekly data. These findings have practical implications to investors with skewness preferences. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:1111 / 1121
页数:11
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