Total structural risk model
First Claim
Patent Images
1. A method for obtaining a comprehensive consumer default risk value for a consumer with respect to an existing debt obligation secured by an automobile, wherein said comprehensive consumer default risk value is derived by a risk analysis computer, said method comprising:
- requesting said comprehensive consumer default risk value for said consumer; and
receiving said comprehensive consumer default risk value for said consumer, wherein said comprehensive consumer default risk value is calculated by determining a comprehensive consumer default risk value, said determining comprises;
obtaining, at said risk analysis computer, wherein said risk analysis computer comprises a processor, a memory, and a data store, consumer credit data relating to said consumer;
obtaining, by said risk analysis computer, internal data relating to said consumer wherein said internal data is derived from a credit issuer'"'"'s transaction system and comprises a payment history of said consumer and consumer transactional data pertaining to particular transactions in which said consumer has engaged and including at least one of transaction amount, transaction time, transaction merchant, transaction merchant location, and transaction merchant web address;
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; and
calculating, by said risk analysis computer, said comprehensive consumer default risk value for said consumer, wherein said calculating comprises assigning said consumer to a consumer population segment based upon primary residence value and selecting an appropriate risk factor relationship based upon said consumer credit data and merchant data contained within said internal data, and wherein a coefficient is selected based upon the assigned population segment,wherein said calculating is based upon said consumer credit 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 said comprehensive consumer default risk value comprises a probability value between 0 and 1.
2 Assignments
0 Petitions
Accused Products
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.
-
Citations
12 Claims
-
1. A method for obtaining a comprehensive consumer default risk value for a consumer with respect to an existing debt obligation secured by an automobile, wherein said comprehensive consumer default risk value is derived by a risk analysis computer, said method comprising:
-
requesting said comprehensive consumer default risk value for said consumer; and receiving said comprehensive consumer default risk value for said consumer, wherein said comprehensive consumer default risk value is calculated by determining a comprehensive consumer default risk value, said determining comprises; obtaining, at said risk analysis computer, wherein said risk analysis computer comprises a processor, a memory, and a data store, consumer credit data relating to said consumer; obtaining, by said risk analysis computer, internal data relating to said consumer wherein said internal data is derived from a credit issuer'"'"'s transaction system and comprises a payment history of said consumer and consumer transactional data pertaining to particular transactions in which said consumer has engaged and including at least one of transaction amount, transaction time, transaction merchant, transaction merchant location, and transaction merchant web address; 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; and calculating, by said risk analysis computer, said comprehensive consumer default risk value for said consumer, wherein said calculating comprises assigning said consumer to a consumer population segment based upon primary residence value and selecting an appropriate risk factor relationship based upon said consumer credit data and merchant data contained within said internal data, and wherein a coefficient is selected based upon the assigned population segment, wherein said calculating is based upon said consumer credit 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 said comprehensive consumer default risk value comprises a probability value between 0 and 1. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
-
-
11. A system for obtaining a comprehensive consumer default risk value for a consumer with respect to an existing debt obligation secured by an automobile comprising:
-
a risk analysis computer comprising a processor, a memory, and a data store, wherein said risk analysis computer is configured to obtain consumer credit data relating to said consumer, wherein said risk analysis computer is configured to obtaining, by said risk analysis computer, internal data relating to said consumer wherein said internal data is derived from a credit issuer'"'"'s transaction system and comprises a payment history of said consumer and consumer transactional data pertaining to particular transactions in which said consumer has engaged and including at least one of transaction amount, transaction time, transaction merchant, transaction merchant location, and transaction merchant web address; wherein said risk analysis computer is configured to model consumer spending patterns of said consumer using said consumer credit data to obtain an estimated spend capacity of said consumer, wherein said risk analysis computer is configured to calculate said comprehensive consumer default risk value for said consumer based upon said consumer credit data and said estimated spend capacity by assigning said consumer to a consumer population segment based upon primary residence value and selecting an appropriate risk factor relationship based upon said consumer credit data and merchant data contained within said internal data, and wherein a coefficient is selected based upon the assigned population segment, wherein said comprehensive consumer default risk value represents a risk associated with said consumer defaulting on an existing debt obligation and said comprehensive consumer default risk value comprises a probability value between 0 and 1.
-
-
12. A tangible computer readable medium having stored thereon, computer executable instructions that, if executed by a computing device, cause said computing device to perform a method for obtaining a comprehensive consumer default risk value for a consumer with respect to an existing debt obligation secured by an automobile comprising:
-
requesting said comprehensive consumer default risk value for said consumer; and
receiving said comprehensive consumer default risk value for said consumer, wherein said comprehensive consumer default risk value is calculated by determining a comprehensive consumer default risk value, said determining comprises;obtaining consumer credit data relating to said consumer;
obtaining, by said risk analysis computer, internal data relating to said consumer wherein said internal data is derived from a credit issuer'"'"'s transaction system and comprises a payment history of said consumer and consumer transactional data pertaining to particular transactions in which said consumer has engaged and including at least one of transaction amount, transaction time, transaction merchant, transaction merchant location, and transaction merchant web address;modeling consumer spending patterns of said consumer using said consumer credit data to obtain an estimated spend capacity of said consumer; and
calculating, by said risk analysis computer, said comprehensive consumer default risk value for said consumer, wherein said calculating comprises assigning said consumer to a consumer population segment based upon primary residence value and selecting an appropriate risk factor relationship based upon said consumer credit data and merchant data contained within said internal data, and wherein a coefficient is selected based upon the assigned population segment,wherein said calculating is based upon said consumer credit 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 said comprehensive consumer default risk value comprises a probability value between 0 and 1.
-
Specification