A portfolio diversification measure in the unit interval: A coherent and practical approach

Yuri Salazar Flores, Adan Diaz‐Hernandez, Oralia Nolasco‐Jauregui, Luis Alberto Quezada‐Tellez
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Abstract

In this article, we introduce and examine the efficiency of a portfolio diversification measure. Using the recently developed coherence properties for diversification measures as well as other criteria, we show that the novel measure outperforms the most commonly used diversification measures. Although similar in shape to other measures, our measure is the only one that satisfies all nine coherence properties whilst being easily interpreted. After testing interpretability and coherence for all measures, we perform an empirical analysis divided into two main parts. In the first part, we test some common diversification measures in a Gaussian context and in the second part we consider three empirical portfolios during the COVID‐19 pandemic. We establish the efficiency of our measure in capturing the changing level of diversification in empirical portfolios. We believe these results imply a competitive advantage for our measure and make it relevant for econometricians, practitioners and decision‐makers in general in a portfolio optimisation context.
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单位区间内的投资组合多样化度量:连贯实用的方法
在本文中,我们介绍并研究了一种投资组合多样化措施的效率。通过使用最近开发的分散化度量的一致性属性以及其他标准,我们表明新的度量方法优于最常用的分散化度量方法。虽然在形状上与其他衡量标准相似,但我们的衡量标准是唯一一个既满足所有九个一致性属性,又易于解释的衡量标准。在测试了所有测量方法的可解释性和一致性之后,我们进行了实证分析,主要分为两个部分。在第一部分中,我们测试了高斯背景下一些常见的分散措施;在第二部分中,我们考虑了 COVID-19 大流行期间的三个经验投资组合。我们确定了我们的衡量方法在捕捉经验投资组合中不断变化的多样化水平方面的效率。我们相信,这些结果意味着我们的方法具有竞争优势,并使其与计量经济学家、从业人员以及投资组合优化背景下的一般决策者息息相关。
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