Risk reduction and Diversification within Markowitz's Mean-Variance Model: Theoretical Revisit

G. Koumou
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引用次数: 1

Abstract

The conventional wisdom of mean-variance (MV) portfolio theory asserts that the nature of the relationship between risk and diversification is a decreasing asymptotic function, with the asymptote approximating the level of portfolio systematic risk or undiversifiable risk. This literature assumes that investors hold an equally-weighted or a MV portfolio and quantify portfolio diversification using portfolio size. However, the equally-weighted portfolio and portfolio size are MV optimal if and only if asset returns distribution is exchangeable or investors have no useful information about asset expected return and risk. Moreover, the whole of literature, absolutely all of it, focuses only on risky assets, ignoring the role of the risk free asset in the efficient diversification. Therefore, it becomes interesting and important to answer this question: how valid is this conventional wisdom when investors have full information about asset expected return and risk and asset returns distribution is not exchangeable in both the case where the risk free rate is available or not? Unfortunately, this question have never been addressed in the current literature. This paper fills the gap.
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马科维茨均值-方差模型中的风险降低和多元化:理论回顾
传统的均值-方差(MV)投资组合理论认为,风险与多样化之间的关系本质上是一个递减的渐近函数,渐近线近似于投资组合系统风险或不可分散风险的水平。本文献假设投资者持有等权重或MV投资组合,并使用投资组合规模量化投资组合多样化。然而,当且仅当资产收益分布是可交换的或投资者没有关于资产预期收益和风险的有用信息时,等权投资组合和投资组合规模是最优的。而且,所有的文献都只关注风险资产,而忽略了无风险资产在有效分散投资中的作用。因此,回答这个问题变得有趣和重要:当投资者拥有关于资产预期收益和风险的充分信息时,这种传统智慧如何有效?在无风险利率可用或不可用的情况下,资产收益分布是不可交换的?不幸的是,这个问题从未在当前的文献中得到解决。本文填补了这一空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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