应用不同风险度量对最优投资组合选择的影响&以贝尔格拉德证券交易所为例

J. Stanković, Evica Petrović, K. Denčić-Mihajlov
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引用次数: 1

摘要

尽管现代投资组合理论在实践中得到了广泛的应用,但基于二次规划和收益率概率分布的前两个矩作为主要参数的Markowitz的优化方法仍受到了批评。因此,通过在优化算法中应用更合适的风险度量,对标准的均值-方差方法进行了修改。本文的目的是表明这些模型的有效性,以及它们在贝尔格莱德证券交易所股票投资组合管理中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EFFECTS OF APPLYING DIFFERENT RISK MEASURES ON THE OPTIMAL PORTFOLIO SELECTION: THE CASE OF THE BELGRADE STOCK EXCHANGE
Despite its wide use in practice, Modern Portfolio Theory and Markowitz’s approach to optimization, which is based on quadratic programming and the first two moments of the probability distribution of returns as major parameters, was faced with criticism. Therefore, standard Mean-Variance approach had been modified by applying more appropriate risk measures in optimization algorithm. The aim of this paper is to indicate efficiency of these models as well as justification of their usage in managing stocks portfolio on the Belgrade Stock Exchange.
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