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Mean-Variance Models for International Portfolio Selection with Uncertain Exchange Rates and Security Returns

机译:汇率和证券收益率不确定的国际证券投资组合的均值-方差模型

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With the liberalization in capital flows and the advances in telecommunication and computer technology, international portfolio selection has been becoming a hot topic for both practitioners and researchers. In traditional international portfolio selection, security selection used to be decided first without considering the fluctuation of foreign exchange rates. Then hedging strategies were made to eliminate the fluctuation of foreign exchange rates. In addition, the security returns and the foreign exchange rates were usually assumed to be random variables. However, in reality, it is usually difficult for many currencies except major currencies to find suitable instruments to make effective currency hedging though cross- hedging may be of some help. In addition, hedging strategy may not be a good choice because the foreign exchange rate fluctuation may also bring the high return to the investors. Furthermore, there are many researches showing that security returns may not be random sometimes. In this paper, we discuss international portfolio selection problem with both foreign exchange rates and security returns containing a new type of uncertainty which is neither random nor fuzzy. Based on the latest development on uncertainty theory, we develop new mean-variance models considering the uncertain foreign exchange rates and security returns simultaneously. To solve the new models in general cases, a hybrid intelligent algorithm is provided. As an illustration, an example is also presented.
机译:随着资本流动的自由化以及电信和计算机技术的发展,国际资产组合的选择已成为从业人员和研究人员的热门话题。在传统的国际投资组合选择中,证券选择通常是在不考虑汇率波动的情况下首先确定的。然后制定了套期保值策略以消除汇率波动。另外,通常假定证券收益率和外汇汇率是随机变量。但是,实际上,尽管交叉对冲可能会有所帮助,但除主要货币以外的许多货币通常都很难找到合适的工具来进行有效的货币对冲。此外,对冲策略可能不是一个好的选择,因为汇率波动也可能为投资者带来高回报。此外,许多研究表明,安全回报有时可能不是随机的。在本文中,我们讨论了具有外汇汇率和证券收益的国际投资组合选择问题,其中包含一种既不随机也不模糊的新型不确定性。基于不确定性理论的最新发展,我们同时考虑了不确定的汇率和证券收益率,开发了新的均值-方差模型。为了解决一般情况下的新模型,提供了一种混合智能算法。作为说明,还提供了一个示例。

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