Optimal Portfolio Allocation with Asian Hedge Funds and Asian Reits

Stephan Höcht, K. H. Ng, Jürgen Wolf, R. Zagst
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引用次数: 9

Abstract

During the past years, the institutional interest in investments into hedge funds and Real Estate Investment Trusts (REITs) has grown considerably. In this paper, the benefits of investing in these asset classes are analysed by applying models that recognise 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 analysed 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 the 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.
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亚洲对冲基金和亚洲房地产投资信托基金的最优投资组合配置
在过去几年中,机构对对冲基金和房地产投资信托基金(REITs)的投资兴趣大幅增长。在本文中,通过应用识别高阶矩或整个回报分布的模型(如功率效用,Omega-和Score-value模型)来分析投资这些资产类别的收益。为了获得比仅从历史数据中获得的结果更一般的结果,我们通过马尔可夫转换过程对资产回报进行了建模,并进行了蒙特卡罗研究。在这个设计中,我们静态地分析了对冲基金和房地产投资信托基金的最佳配置,并根据亚洲市场的数据进行了月度重新配置。我们的主要发现是,在静态情况下,实用新型和得分模型占主导地位,而在动态情况下,均值-方差模型似乎是首选模型。在这两种情况下,对冲基金都是最优投资组合中最主要的资产。房地产投资信托基金主要用于分散投资,利率相对较低。
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