发明名称 Adjusted Factor-Based Performance Attribution
摘要 Performance attribution results of investment portfolios are often misleading due to correlation between the factor and specific contributions. This correlation is not correctly accounted for in standard factor-based attribution thus leading to potentially erroneous results. The present invention produces an adjusted factor-based performance attribution methodology that moves a portion of the specific return that is correlated with the factor contributions into the factor portion. This methodology adjusts the contribution to a subset of factors and to the specific contributions such that the resulting factor and specific contributions have small correlation.
申请公布号 US2015081592(A1) 申请公布日期 2015.03.19
申请号 US201414336123 申请日期 2014.07.21
申请人 Axioma, Inc. 发明人 Stubbs Robert A.;Jeet Vishv
分类号 G06Q40/06;G06Q10/06 主分类号 G06Q40/06
代理机构 代理人
主权项 1. A computer-implemented method for computing and reporting the performance attribution of a set of portfolio holdings over time comprising: electronically receiving and storing by the programmed computer a set of dates defining an attribution time horizon to be analyzed; for each date, electronically receiving and storing by the programmed computer a historical portfolio of holdings having investment weights in a set of investible assets; for each date, electronically receiving and storing by the programmed computer a set of factors and a set of factor exposures for each investible asset in the historical portfolio of holdings as of that date; for each date, electronically receiving and storing or calculating and storing by the programmed computer a factor return for each factor exposure as of that date: for each date, electronically receiving and storing or calculating and storing by the programmed computer specific returns for all investible assets in the portfolio as of that date; for each date, computing factor contributions by combining the investment weights of the historical portfolio, the factor exposures and the factor returns as of that date; for each date, computing specific contributions by combining the investment weights of the historical portfolio and the specific returns as of that date; computing one or more mathematical models using time series regression that describes a relationship between a time series of specific contributions as a function of the time series of factor contributions; selecting a preferred mathematical model from those computed; computing an adjusted set of factor contributions and specific contributions utilizing the preferred mathematical model; computing a performance attribution for the historical portfolios of holdings based on the adjusted set of factor and specific contributions; and electronically outputting the performance attribution results using an output device.
地址 New York NY US