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Are You Optimizing...or Error Magnifying?

机译:您正在优化...还是错误放大?

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摘要

Today it is widely recognized that a strategic asset allocation is the single most important decision a long-term investor makes. The dominant quantitative approach is based on Harry Markowitz's mean-variance optimization (MVO) technique. Common sense calls for diversification in a portfolio. But in practice, MVO can lead to highly concentrated allocations to just a few asset classes. The natural errors that occur when applying returns estimates from the past-capital market assumptions-in a forward-looking context are magnified by traditional MVO. Add this to the technique's sensitivity to small changes in input and you have an "estimation error maximizer." These flaws lead some practitioners to set strict asset class constraints, or even abandon MVO altogether.
机译:如今,众所周知,战略资产配置是长期投资者做出的最重要的决定。占主导地位的定量方法基于哈里·马克维兹(Harry Markowitz)的均值方差优化(MVO)技术。常识要求投资组合多样化。但实际上,MVO可以导致高度集中地分配给少数资产类别。传统的MVO放大了在前瞻性的情况下应用过去资本市场假设的收益估算时发生的自然误差。将此添加到该技术对输入的微小变化的敏感性上,您将获得一个“估计误差最大化器”。这些缺陷导致一些从业人员设置了严格的资产类别约束,甚至完全放弃了MVO。

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