PATENT CLAIM ANALYSIS

Application Number: 15861806
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["705", "03600R"]

Abstract:
Disclosed are a system and a method for selecting index Portfolio Managers/Products and active Portfolio Managers/Products for an investment portfolio. The invention separates the performance impact of temporal market events from a Portfolio Manager's active security and/or factor selection skill. The method includes preparing data by calculating excess returns for Portfolio Managers/Products using stock market indices, extracting Active Share, and extracting raw factor data and generating composite indices for sectors. Using the skill metrics, Active Shares, and Manager 36-month return, a cross sectional rolling regression model with rolling one-month window is calibrated to forecast the probability of outperforming a benchmark over the subsequent 36-month period. To determine the efficacy of each of the forecast models, an analysis is performed to determine the overall accuracy for each one. P-values are used to measure significance of the independent variables. Accuracy is measured by comparing forecasts with Managers' actual excess returns.

Claim (Index 9):
The method of  claim 8  wherein said assigning comprises computing the first forecast accuracy value and the second forecast accuracy value using a first true benchmark relative excess return and a second true benchmark relative return, respectively.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 86.0
- Lexical Diversity: 1.66327
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11541146', '14028132', '09346195', '10939641', '11043382']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1166400239303941
- 35 USC 102 Novelty (BERT): 0.5193249955364421
- Combined Prediction Score: 0.1569085210909989
- Mean Citation Score: 267.83880600000003
- Max Citation Score: 280.3867
- Similarity Product: 179.23181111676098

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test