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Optimal portfolio allocation with Asian hedge funds and Asian REITs

机译:与亚洲对冲基金和亚洲房地产的最佳投资组合分配

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In this paper the benefits of investing in alternative asset classes are analyzed by applying models that recognize higher-order moments or the whole return distribution like the power- utility,Omega,and Score-value model. Trying to obtain more general results than those we can find from historical data only,we modelled the asset returns by Markov switching processes and did a Monte Carlo study. Within this design we analyzed the optimal allocations to hedge funds and REITs statically and with monthly reallocations based on data from Asian markets. Our main findings are that in the static case the utility model and the Score model are dominant,whereas the mean-variance model appears to be the model of first choice in the dynamic case. In both settings hedge funds are the most dominant asset of the optimal portfolios. REITs are mainly used for diversification and added at comparably lower rates.
机译:在本文中,通过应用识别高阶矩或整个返回分布的模型来分析投资替代资产类别的益处,如能量,欧米茄和刻度值模型。试图获得更多的一般结果,而不是我们可以从历史数据中找到的那些普遍的结果,我们通过Markov交换过程建模了资产回报,并进行了蒙特卡罗研究。在此设计中,我们分析了对冲基金的最佳分配,并静态地重新排列,并根据来自亚洲市场的数据进行静态重新分配。我们的主要研究结果是,在静态案例中,实用新型和得分模型是显性的,而平均方差模型似乎是动态案例中首选的模型。在两个设置中,对冲基金是最佳投资组合的最大资产。 Reits主要用于多样化,并在相对较低的速率下添加。

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