SYSTEMS AND METHODS FOR ANALYZING DATA
First Claim
1. A method of generating a default/bankruptcy model for assigning an individual to particular segments of a segmentation structure, wherein the default/bankruptcy model is indicative of an individual'"'"'s propensity to either default on one or more financial instruments or file for bankruptcy, the method comprising:
- receiving observation data comprising financial and demographic information regarding a plurality of individuals, the observation data indicating characteristics of the individuals at an observation time;
receiving outcome data comprising financial and demographic information regarding the plurality of individuals fitting a bad performance definition, the outcome data indicating characteristics of the individuals fitting the bad performance definition during an outcome period, the outcome period beginning after the observation time; and
comparing the observation data and the outcome data in order to generate the bankruptcy/default model usable to determine which of a plurality of segments in the segmentation structure a particular individual should be assigned.
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Accused Products
Abstract
Information regarding individuals that fit a bad performance definition, such as individuals that have previously defaulted on a financial instrument or have declared bankruptcy, is used to develop a model that is usable to determine whether an individual that does not fit the bad performance definition is more likely to subsequently default on a financial instrument or to declare bankruptcy. The model may be used to generate a score for each individual, and the score may be used to segment the individual into a segment of a segmentation structure that includes individuals with related scores, where segments may include different models for generating a final risk score for the individuals assigned to the particular segments. Thus, the segment to which an individual is assigned, which may be determined based at least partly on the score assigned to the individual, may affect the final risk score that is assigned to the individual.
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Citations
24 Claims
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1. A method of generating a default/bankruptcy model for assigning an individual to particular segments of a segmentation structure, wherein the default/bankruptcy model is indicative of an individual'"'"'s propensity to either default on one or more financial instruments or file for bankruptcy, the method comprising:
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receiving observation data comprising financial and demographic information regarding a plurality of individuals, the observation data indicating characteristics of the individuals at an observation time; receiving outcome data comprising financial and demographic information regarding the plurality of individuals fitting a bad performance definition, the outcome data indicating characteristics of the individuals fitting the bad performance definition during an outcome period, the outcome period beginning after the observation time; and comparing the observation data and the outcome data in order to generate the bankruptcy/default model usable to determine which of a plurality of segments in the segmentation structure a particular individual should be assigned. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method of assessing a risk associated with an individual comprising:
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generating a model based on data regarding a first subgroup of a population, the subgroup comprising a first portion fitting a first failure definition and a second portion fitting a second failure definition; and applying the generated model to the individual, wherein the individual is not a member of the first subgroup. - View Dependent Claims (11, 12)
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13. A computing system for segmenting each of a plurality of individuals into one of a plurality of segments of a segmentation structure, the system comprising:
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a profile module configured to generate a default/bankruptcy model for assigning each individual to one or more segments of the segmentation structure, wherein the default/bankruptcy model is indicative of an individual'"'"'s propensity to either default on one or more financial instruments or to file for bankruptcy; and a segmentation module configured to segment each of the individuals using the default/bankruptcy model, wherein the individuals include individuals satisfying a bad performance definition and individuals satisfying a good performance definition. - View Dependent Claims (14)
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15. A method for selecting one or more adverse action codes to associate with a final risk score assigned to an individual, each of the adverse action codes indicating a reason that the final risk score was assigned to the individual, wherein the individual is assigned to a segmentation hierarchy comprising a plurality of segments, including a final segment, in a segmentation structure, the method comprising:
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determining a first penalty associated with assignment of the individual to a final segment; determining a first ratio of the first penalty to a difference between a highest possible final risk score and the final risk score for the individual; if the determined first ratio is above a first determined threshold, allotting an adverse action code related to assignment of the individual to the final segment. - View Dependent Claims (16, 17, 18)
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19. A method of generating a model for determining an individual'"'"'s propensity to enter either a first failure mode or a second failure mode, the method comprising:
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defining a bad performance definition to include individuals that have characteristics of one or more of the first and second failure modes; receiving observation data regarding a plurality of individuals fitting the bad performance definitions, the observation data indicating characteristics of the individuals at an observation time; receiving outcome data regarding the plurality of individuals fitting the bad performance definition, the outcome data indicating characteristics of the individuals fitting the bad performance definition during an outcome period, the outcome period beginning after the observation time; and comparing the observation data and the outcome data in order to generate a model usable to determine a likelihood that an individual not fitting the bad performance definition will enter a first failure mode or if the individual will enter the second failure mode. - View Dependent Claims (20, 21, 22, 23, 24)
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Specification