A Brief Review of Two Classical Models for Asset Allocating

Ya-juan Yang, Liang Zhang, Yi Niu, Ouan-Ju Zhang
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Abstract

The two most famous models, one is called mean-variance optimization model (in short MVO) which was proposed by Markowiz who won the Nobel prize in 1990 due to his pioneering research in the theory of modern financial economics, and another is named after B-L model proposed by Black-Litterman. This paper introduces the evolution of these two models in asset allocating: MVO model and B-L model. First, the advantages and disadvantages of the two models are described in case of treating a practical investment strategy by the two models being employed. Second, we illustrate that, with a comparison of the mean-variance optimization model, the key ingredients are accurate judgment on the performance and correlation of each asset for Black-Litterman model. Finally, we point out that the Black-Litterman model is not always superior to mean-variance optimization in case of the experiences of an investor are insufficient.
两种经典资产配置模型述评
最著名的两种模型,一种是均值方差优化模型(mean-variance optimization model,简称MVO),由1990年因在现代金融经济学理论方面的开创性研究而获得诺贝尔奖的马科维茨提出,另一种是以Black-Litterman提出的B-L模型命名的。本文介绍了MVO模型和B-L模型这两种资产配置模型的演变过程。首先,在使用两种模型处理实际投资策略的情况下,描述了两种模型的优缺点。其次,通过与均值-方差优化模型的比较,说明Black-Litterman模型对各资产的表现和相关性的准确判断是关键。最后,我们指出,在投资者经验不足的情况下,Black-Litterman模型并不总是优于均值方差优化。
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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