Portfolio diversification with varying investor abilities

被引:1
|
作者
James, N. [1 ]
Menzies, M. [2 ]
机构
[1] Univ Melbourne, Sch Math & Stat, Parkville, Vic 3010, Australia
[2] Beijing Inst Math Sci & Applicat, Beijing 101408, Peoples R China
关键词
METEOROLOGICAL NORMALIZATION; CROSS-CORRELATIONS; AIR-QUALITY; OPTIMIZATION; SELECTION; ALGORITHMS;
D O I
10.1209/0295-5075/ad1ef2
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We introduce new mathematical methods to study the optimal portfolio size of investment portfolios over time, considering investors with varying skill levels. First, we explore the benefit of portfolio diversification on an annual basis for poor, average and strong investors defined by the 10th, 50th and 90th percentiles of risk -adjusted returns, respectively. Second, we conduct a thorough regression experiment examining quantiles of risk -adjusted returns as a function of portfolio size across investor ability, testing for trends and curvature within these functions. Finally, we study the optimal portfolio size for poor, average and strong investors in a continuously temporal manner using more than 20 years of data. We show that strong investors should hold concentrated portfolios, poor investors should hold diversified portfolios; average investors have a less obvious distribution with the optimal number varying materially over time.
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页数:8
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