基于夏普指数模型的两阶段最优投资组合选择,应用于雅典证券交易所

Vasileios Nastas, P. Boufounou
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摘要

虽然在文献中已经应用了许多基于市场或会计股票特征的多元模型来进行最优投资组合选择,并提出了大量的技术和/或基本标准,但问题尚未得到解决。本文改进了一种结合基础标准和技术标准的两阶段分析方法,以克服上述缺点。首先,将来自11个最大市值行业/部门的25只股票的基本特征与雅典证券交易所FTSE/XA大型股票指数的表现进行比较,因此使用不同的基准形成两个计分表,其中选择表现最好的股票。随后,对于这些股票,基于3年期间的每周数据,应用夏普指数模型,选择表现最佳的投资组合。估计的夏普指数模型(SIM)显示,有几个机会以有效的方式优化回报和分散风险,表现优于富时大型股指数。JEL分类:D53, G11, G12, G17, G23关键词:风险与收益,技术分析,基本面分析,夏普指数模型
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A Two-Phase Optimal Portfolio Selection Using Sharpe Index Model Applied to the Athens Stock Exchange
  Although in literature numerous multivariate models have been applied for optimal portfolio selection based on either market or accounting stock characteristics, whereby plenty of technical and/or fundamental criteria have been proposed, the problem is yet to be solved. This paper enhances a two-phased analysis that combines both fundamental and technical criteria, to overcome the aforementioned shortcomings. Initially, the fundamental characteristics of 25 stocks from 11 industries/sectors with the largest market capitalization, are compared to the performance of the Athens Stock Exchange FTSE/XA Large CAP Index, and hence two scoring tables are formed using different benchmarks, where the best performing stocks are selected. Subsequently, for these stocks, based on weekly data covering a 3-year period, the Sharpe Index Model is applied, and the best performing portfolio is selected. The estimated Sharpe Index Model (SIM) reveals that there are several opportunities to optimize return and diversify risk in an efficient manner, outperforming the FTSE Large Cap Index.   JEL Classifications: D53, G11, G12, G17, G23 Key words: Risk & Return, Technical Analysis, Fundamental Analysis, Sharpe Index Model
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