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Method and System to Solve Dynamic Multi-Factor Models in Finance

机译:解决金融动态多因素模型的方法和系统

摘要

Methods and systems for estimating time-varying factor exposures of either an individual financial instrument or a portfolio of such instruments, through the solution of a constrained multi-criteria dynamic optimization problem, providing an estimation error function and one or more transition error functions to be minimized over a period of time. The factor exposures relay the influence of the factors on the return of the instrument or portfolio. The estimation error function provides the estimation error at each time interval between the return of the asset collection and a sum of products of each factor exposure and its respective factor. Each transition error function provides a transition error of each factor exposure between time intervals. In one embodiment, the constraints can include a budget constraint and non-negativity bounds applying to some or all of the factor exposures. In other embodiments, the method and system can be applied to estimating any time-varying weight that is used in a model, to relay the influence of one or more independent variables on a dependent financial or economic variable, through the solution of a constrained multi-criteria dynamic problem, minimizing estimation error and transition error terms. In other embodiments, the solution of a multi-criteria dynamic problem can be used as part of a method and system to determine structural breakpoints for each factor, and also as part of a method and system for determining optimal parameters to weight the transition error functions and selecting the factors included in the model.
机译:通过约束多准则动态优化问题的解决方案来估计单个金融工具或此类工具组合的时变因子敞口的方法和系统,提供估计误差函数和一个或多个过渡误差函数在一段时间内最小化。因子暴露传递了因子对工具或投资组合收益的影响。估计误差函数在资产回收的收益与每个因素敞口及其相关因素的乘积之和之间的每个时间间隔提供估计误差。每个过渡误差函数提供时间间隔之间每个因子暴露的过渡误差。在一个实施例中,约束可以包括预算约束和应用于某些或全部因素暴露的非负边界。在其他实施例中,该方法和系统可以应用于通过约束多解的解来估计模型中使用的任何随时间变化的权重,以传递一个或多个自变量对因变量的影响。 -标准动态问题,最大程度地减少估计误差和过渡误差项。在其他实施例中,多准则动态问题的解决方案可以用作确定每个因素的结构断点的方法和系统的一部分,也可以用作确定权重过渡误差函数的最佳参数的方法和系统的一部分。并选择模型中包含的因素。

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