Security analyst performance tracking and analysis system and method
First Claim
1. A computer implemented system for creating a composite prediction based on a plurality of analysts'"'"' current predictions and historical data concerning analysts'"'"' past predictions, the system comprising:
- (i) a historical database of data concerning a plurality of analysts'"'"' past predictions;
(ii) a database of a plurality of analysts'"'"' current predictions;
(iii) means for creating a model with user selected parameters to generate a composite prediction based on the historical data, comprising;
a. means for generating individual weighting factors for individual analysts based at least in part on the historical data;
b. means for modifying for individual analysts, the current prediction of an individual analyst by the weighting factor generated for the individual analyst, wherein the composite prediction is generated by summing the modified current predictions of a plurality of analysts; and
wherein the current predictions comprise analysts'"'"' earning estimates for a security.
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Accused Products
Abstract
A system and method for measuring, analyzing, and tracking the past performance of security analysts'"'"' earnings estimates and recommendations. A database containing historical information pertaining to analyst earnings estimates and recommendations is downloaded into the system. Pre-calculated data values are also added to the database including adjustment factors a single or set of analysts based upon their historical earnings estimates as compared to actual earnings estimates over time, and other user-defined performance analysis set parameters and metrics. A weighting factor may also be calculated for a set of analysts based upon factors such as the recency of an analyst'"'"'s earnings estimates. Using these adjustment and weighting factors and each analyst'"'"'s actual earnings estimate, a custom composite estimate may be derived. A front-end graphical user interface (GUI) is used to view analyst historical data either as raw data or, by using a data visualization technique, as a graph or chart. The GUI allows a user to choose from a multitude of predetermined analysis parameters and metrics or to define his own parameters and metrics for calculation and visualization. A user may also, in similar manner, use a GUI to choose parameters and metrics to analyze and display the historical profitability of analysts'"'"' recommendations over a plurality of time periods.
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Citations
15 Claims
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1. A computer implemented system for creating a composite prediction based on a plurality of analysts'"'"' current predictions and historical data concerning analysts'"'"' past predictions, the system comprising:
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(i) a historical database of data concerning a plurality of analysts'"'"' past predictions;
(ii) a database of a plurality of analysts'"'"' current predictions;
(iii) means for creating a model with user selected parameters to generate a composite prediction based on the historical data, comprising;
a. means for generating individual weighting factors for individual analysts based at least in part on the historical data;
b. means for modifying for individual analysts, the current prediction of an individual analyst by the weighting factor generated for the individual analyst, wherein the composite prediction is generated by summing the modified current predictions of a plurality of analysts; and
wherein the current predictions comprise analysts'"'"' earning estimates for a security. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A computer implemented system for creating a composite prediction based on a plurality of analysts'"'"' current predictions and historical data concerning analysts'"'"' past predictions, the system comprising:
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(i) a historical database of data concerning a plurality of analysts'"'"' past predictions;
(ii) a database of a plurality of analysts'"'"' current predictions;
(iii) means for creating a model with user selected parameters to generate a composite prediction based on the historical data, comprising;
a. means for enabling an adjustment factor to be applied to current predictions for selected analysts;
b. means for enabling a weighting factor to be applied to the adjusted current predictions for the selected analysts to generate modified current predictions of the selected analysts, wherein the composite prediction is generated by summing the modified current predictions of the selected analysts; and
wherein the current predictions comprise analysts'"'"' earning estimates for a security.
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13. A computer implemented system for creating a composite prediction based on a plurality of analysts'"'"' current predictions and historical data concerning analysts'"'"' past predictions, the system comprising:
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(i) a historical database of data concerning a plurality of analysts'"'"' past predictions;
(ii) a database of a plurality of analysts'"'"' current predictions; and
(iii) means for creating a model with user selected parameters to generate a composite prediction based on the historical data wherein the current predictions comprise analysts'"'"' buy-sell recommendations for a security;
wherein the means for creating a model comprises;
a. means for generating individual weighting factors for individual analysts based at least in part on the historical data; and
b. means for modifying for individual analysts, the current buy-sell recommendation of an individual analyst by the weighting factor generated for the individual analyst, wherein the composite prediction is generated by summing the modified current buy-sell recommendations of a plurality of analysts.
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14. A computer implemented system for creating a composite prediction based on a plurality of analysts'"'"' current predictions and historical data concerning analysts'"'"' past predictions, the system comprising:
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(i) a historical database of data concerning a plurality of analysts'"'"' past predictions;
(ii) a database of a plurality of analysts'"'"' current predictions; and
(iii) means for creating a model with user selected parameters to generate a composite prediction based on the historical data wherein the current predictions comprise analysts'"'"' buy-sell recommendations for a security;
wherein the means for creating a model comprises;
a. means for enabling an adjustment factor to be applied to current buy-sell recommendations for selected analysts; and
b. means for enabling a weighting factor to be applied to the adjusted current buy-sell recommendations for the selected analysts to generate modified current buy-sell recommendations of the selected analysts, wherein the composite prediction is generated by summing the modified current buy-sell recommendations of the selected analysts.
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15. A computer implemented system for creating a composite prediction based on a plurality of analysts'"'"' current predictions and historical data concerning analysts'"'"' past predictions, the system comprising:
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(i) a historical database of data concerning a plurality of analysts'"'"' past predictions;
(ii) a database of a plurality of analysts'"'"' current predictions; and
(iii) means for creating a model with user selected parameters to generate a composite prediction based on the historical data wherein the current predictions comprise analysts'"'"' buy-sell recommendations for a security;
wherein the means for creating a model comprises;
a. means for enabling an adjustment factor based on a raw error metric to be applied to current buy-sell recommendations for selected analysts; and
b. means for enabling a weighting factor based on an absolute error metric to be applied to the adjusted current buy-sell recommendations for the selected analysts to generate modified current buy-sell recommendations of the selected analysts, wherein the composite prediction is generated by averaging the modified current buy-sell recommendations of the selected analysts.
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Specification