Markowitz Portfolio Construction at Seventy

被引:0
|
作者
Boyd, Stephen [1 ,2 ]
Johansson, Kasper [3 ]
Kahn, Ronald [4 ]
Schiele, Philipp [3 ,5 ]
Schmelzer, Thomas [6 ]
机构
[1] Stanford Univ, Elect Engn, Stanford, CA 94305 USA
[2] Stanford Univ, Inst Computat & Math Engn, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Elect Engn, Stanford, CA USA
[4] BlackRocks Systemat Investment Team, San Francisco, CA USA
[5] Ludwig Maximilians Univ Munchen, Chair Stat & Econometr, Munich, Germany
[6] Abu Dhabi Investment Author, Abu Dhabi, U Arab Emirates
来源
JOURNAL OF PORTFOLIO MANAGEMENT | 2024年 / 50卷 / 08期
关键词
ROBUST OPTIMIZATION; EXPECTED UTILITY; CROSS-SECTION; SELECTION;
D O I
暂无
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
More than 70 years ago Harry Markowitz formulated portfolio construction as an optimization problem that trades off expected return and risk, defined as the standard deviation of the portfolio returns. Since then, the method has been extended to include many practical constraints and objective terms, such as transaction cost or leverage limits. Despite several criticisms of Markowitz's method, for example, its sensitivity to poor forecasts of the return statistics, it has become the dominant quantitative method for portfolio construction in practice. In this article, the authors describe an extension of Markowitz's method that addresses many practical effects and gracefully handles the uncertainty inherent in return statistics forecasting. Like Markowitz's original formulation, the extension is also a convex optimization problem, which can be solved with high reliability and speed.
引用
收藏
页码:117 / 160
页数:44
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