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System implementing smart beta factor deposition based on assets in existing portfolio

机译:基于现有投资组合中的资产实施智能β因子沉积的系统

摘要

Disclosed is a system implementing smart beta factor deposition based on assets in an existing portfolio. The system typically includes a processor, a memory, and a module stored in the memory. The module is typically configured to: retrieve factor data for one or more securities associated with an existing portfolio; determine a score for beta factor models for the securities; receive threshold conditions associated with the existing portfolio; defining a plurality of factor sleeves for an investment portfolio; for each factor sleeve's beta factor model, determine a score of each of a plurality of securities; select one or more securities based on the score of each security according to the factor sleeve's beta factor model and the score of each of the securities in the existing portfolio until the factor sleeve's size has been reached; and combine the positions of each factor sleeve to create the investment portfolio.
机译:公开了一种基于现有投资组合中的资产实施智能β因子沉积的系统。该系统通常包括处理器,存储器以及存储在该存储器中的模块。该模块通常被配置为:检索与现有投资组合相关的一种或多种证券的因子数据;以及确定证券的beta因子模型的分数;接收与现有投资组合相关的门槛条件;为投资组合定义多个要素套;对于每个因子套筒的β因子模型,确定多个证券中每个证券的得分;根据因子套管的beta因子模型和现有证券组合中每种证券的得分,根据每种证券的得分选择一种或多种证券,直到达到因子套管的规模;并结合每个因素套的头寸来创建投资组合。

著录项

  • 公开/公告号US10275831B2

    专利类型

  • 公开/公告日2019-04-30

    原文格式PDF

  • 申请/专利权人 BANK OF AMERICA CORPORATION;

    申请/专利号US201514744381

  • 发明设计人 STEVEN K. STEARNS;

    申请日2015-06-19

  • 分类号G06Q40/06;

  • 国家 US

  • 入库时间 2022-08-21 12:13:11

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