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SYSTEMS AND METHODS FOR MEASURING RELATIONSHIPS BETWEEN INVESTMENTS AND OTHER VARIABLES

机译:用于测量投资与其他变量之间的关系的系统和方法

摘要

The systems and methods described herein can identify meaningful relationships between variables, such as particular investments or general asset classes. Unlike conventional correlation analysis, these systems and methods provide an improved technique of comovement analysis that implements a threshold to eliminate data “noise” and then discretizes the remaining observations to normalize any outliers. Such comovement analysis has numerous advantages over known techniques for characterizing relationships between variables. In some embodiments, this improved comovement analysis can be used to calculate a covariance matrix for purposes of mean-variance optimized portfolio construction.
机译:这里描述的系统和方法可以识别变量之间的有意义的关系,例如特定的投资或通用资产类别。与传统的相关性分析不同,这些系统和方法提供了一种改进的可分析技术,其实现阈值以消除数据“噪声”,然后离散地分离剩余的观察以标准化任何异常值。这种分解分析具有与已知技术的许多优点,用于表征变量之间的关系。在一些实施例中,这种改进的可分解分析可用于计算用于平均方差优化的产品组合构造的协方差矩阵。

著录项

  • 公开/公告号US2021224916A1

    专利类型

  • 公开/公告日2021-07-22

    原文格式PDF

  • 申请/专利权人 SANDER GERBER;

    申请/专利号US202117226874

  • 发明设计人 SANDER GERBER;

    申请日2021-04-09

  • 分类号G06Q40/06;

  • 国家 US

  • 入库时间 2022-08-24 20:03:29

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