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Grouped data, investment committees & multicriteria portfolio selection

机译:分组数据,投资委员会和多标准组合选择

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Little attention has been paid to the necessity of a principal business context, in which the members of an investment committee decide for the optimal synthesis of portfolios, taking into account several and conflicting investment criteria. The underlying gap widens significantly, considering that mainstream portfolio theory fails to accommodate, both additional investment objectives, beyond expected return and variance, and analysts' forecasts, when these are coming in the form of discrete recommendations. Our central contribution in this paper is associated with the introduction and standardization of a unified decision support business framework, which deals with all the above complexities and facilitates asset managers in their professional practice. Extensive out-of-sample empirical testing, based on the Dow Jones Industrial Average for a 10-year time period, provides evidence that investment portfolios generated by the methodology, appear with, either equal or superior risk-adjusted return performance, against various benchmarks.
机译:对主要业务背景的必要性来说,投资委员会成员的必要性达到了很少的关注,以考虑到几个和冲突的投资标准,决定投资组合的最佳综合。潜在的差距显着扩大,考虑到主流产品组合理论未能适应,额外的投资目标,超越预期的回报和方差,以及分析师预测,这些都以离散建议的形式。我们本文中的核心贡献与统一决策支持商业框架的引入和标准化有关,该框架涉及所有上述复杂性,并促进资产管理人员在他们的专业实践中。基于10年期间的道琼斯工业平均值的广泛采样的实证测试提供了通过该方法产生的投资组合,与各种基准相同或卓越的风险调整回报性能。

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