Risk and Return to Investment in Five Emerging Nations: A Mathematica Simulation

Mohammad R. Safarzadeh, F. Nazarian
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引用次数: 2

Abstract

This paper compares the Mathematica simulations of optimum allocation ratios derived from the application of Modern Portfolio Theory to historical data of five emerging nations with the actual allocations as presented in MSCI BRIC Index Fund (BKE) and Emerging Markets Index Fund (EEM). The paper finds that the BKE and EEM allocations of funds are not consistent with the optimum allocations of funds derived from the Mathematica simulation whether the risk of exchange rate volatility is factored in or not.
五个新兴国家的投资风险与回报:数学模拟
本文将运用现代投资组合理论对五个新兴国家历史数据进行数学模拟得出的最佳配置比例与MSCI金砖四国指数基金(BKE)和新兴市场指数基金(EEM)的实际配置进行了比较。本文发现,无论是否考虑汇率波动风险,BKE和EEM的资金配置都与Mathematica模拟得出的最优资金配置不一致。
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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