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Optimal portfolio allocation with Asian hedge funds and Asian REITs

机译:亚洲对冲基金和亚洲房地产投资信托基金的最佳投资组合配置

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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收益分布的模型(如电力公司,Ω和得分值模型)来分析投资另类资产类别的收益。为了获得比仅从历史数据中获得的结果更多的一般结果,我们通过马尔可夫转换过程对资产​​收益进行了建模,并进行了蒙特卡洛研究。在此设计中,我们静态分析了对冲基金和REIT的最佳配置,并根据来自亚洲市场的数据每月进行了重新分配。我们的主要发现是,在静态情况下,效用模型和评分模型占主导地位,而在动态情况下,均方差模型似乎是首选模型。在这两种情况下,对冲基金都是最佳投资组合中最主要的资产。房地产投资信托基金主要用于多元化,并以相对较低的比率增加。

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