Total structural risk model
First Claim
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1. A method for determining a comprehensive consumer default risk value for a consumer, wherein said consumer default risk value is derived by a risk analysis computer, said method comprising:
- obtaining consumer credit data relating to said consumer, at a risk analysis computer wherein said risk analysis computer comprises a processor, a memory, and a data store;
modeling, by said risk analysis computer, consumer spending patterns of said consumer using said consumer credit data to obtain an estimated spend capacity of said consumer;
obtaining, by said risk analysis computer, internal data relating to said consumer, said internal data comprising consumer transactional data;
calculating, by said risk analysis computer, said comprehensive consumer default risk value for said consumer based upon said consumer credit data, said internal data and said estimated spend capacity, wherein said comprehensive consumer default risk value represents a risk associated with said consumer defaulting on an existing debt obligation andwherein said calculating comprisesassigning, by said risk analysis computer, said consumer to a consumer population segment based upon primary residence value,selecting, by said risk analysis computer, an appropriate risk factor relationship based upon said consumer credit data and said internal data.
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Abstract
The present invention generally relates to financial data processing, and in particular it relates to credit scoring, consumer profiling, consumer behavior analysis and modeling. More specifically, it relates to risk modeling using the inputs of credit bureau data, size of wallet data, and, optionally, internal data.
139 Citations
20 Claims
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1. A method for determining a comprehensive consumer default risk value for a consumer, wherein said consumer default risk value is derived by a risk analysis computer, said method comprising:
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obtaining consumer credit data relating to said consumer, at a risk analysis computer wherein said risk analysis computer comprises a processor, a memory, and a data store; modeling, by said risk analysis computer, consumer spending patterns of said consumer using said consumer credit data to obtain an estimated spend capacity of said consumer; obtaining, by said risk analysis computer, internal data relating to said consumer, said internal data comprising consumer transactional data; calculating, by said risk analysis computer, said comprehensive consumer default risk value for said consumer based upon said consumer credit data, said internal data and said estimated spend capacity, wherein said comprehensive consumer default risk value represents a risk associated with said consumer defaulting on an existing debt obligation and wherein said calculating comprises assigning, by said risk analysis computer, said consumer to a consumer population segment based upon primary residence value, selecting, by said risk analysis computer, an appropriate risk factor relationship based upon said consumer credit data and said internal data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. An article of manufacture including a computer readable medium having non-transitory instructions stored thereon that, in response to execution by a computing device, cause the computing device to perform operations comprising:
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obtaining consumer credit data relating to said consumer; modeling consumer spending patterns of said consumer using said consumer credit data to obtain an estimated spend capacity of said consumer; obtaining internal data relating to said consumer, said internal data comprising consumer transactional data; and calculating said comprehensive consumer default risk value for said consumer based upon said consumer credit data, said internal data and said estimated spend capacity, wherein said comprehensive consumer default risk value represents a risk associated with said consumer defaulting on an existing debt obligation and wherein said calculating comprises assigning said consumer to a consumer population segment based upon primary residence value, selecting an appropriate risk factor relationship based upon said consumer credit data and said internal data - View Dependent Claims (20)
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Specification