Method and Apparatus for Assessing Debtor Payment Behavior
First Claim
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1. A computer readable medium containing a program which, when executed by a processor, performs a method for modeling debtor behavior, comprising:
- obtaining historic customer placement data for each of at least one debtor in a debt portfolio;
obtaining historic credit data for each of the at least one debtor in the debt portfolio;
determining a probability of payment model by processing the historic customer placement data and historic credit data according to either of (1) a generalized linear modeling technique with a link function based upon a Generalized Beta of the Second Kind (GB2) family of distributions or (2) a generalized linear modeling technique using a link function based upon a member of the G-and-H family of distributions; and
storing, in a memory, values corresponding to the probability of payment model.
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Abstract
A computer implemented method that merges historical debtor placement data and historical credit data according to a bivariate analysis to create model of debtor behavior. The model is adapted for processing current debtor placement data and credit data to value a debt portfolio or determine a probability of payment and/or estimate of payment of individual debtors.
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Citations
38 Claims
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1. A computer readable medium containing a program which, when executed by a processor, performs a method for modeling debtor behavior, comprising:
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obtaining historic customer placement data for each of at least one debtor in a debt portfolio; obtaining historic credit data for each of the at least one debtor in the debt portfolio; determining a probability of payment model by processing the historic customer placement data and historic credit data according to either of (1) a generalized linear modeling technique with a link function based upon a Generalized Beta of the Second Kind (GB2) family of distributions or (2) a generalized linear modeling technique using a link function based upon a member of the G-and-H family of distributions; and storing, in a memory, values corresponding to the probability of payment model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31)
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32. A computer readable medium containing a program which, when executed by a processor, performs a method for determining a debtor behavior model, comprising:
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obtaining one or both of historic customer placement data for each of at least one debtor in a debt portfolio and historic credit data for each of the at least one debtor in the debt portfolio; processing the one or both of historic customer placement data and historic credit data according to a generalized linear modeling technique with a Generalized Beta of the Second Kind distribution to determine thereby a model describing a maximum likelihood estimation of at least one of a probability of payment and an estimated payment amount for each account in the debtor population; and storing, in a memory, values corresponding to properties of the determined model.
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33. A computer readable medium containing a program which, when executed by a processor, performs a method for modeling debtor behavior, comprising:
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obtaining historic customer placement data for each of at least one debtor in a debt portfolio; determining a probability of payment model by processing the historic customer placement data according to either of (1) a generalized linear modeling technique with a link function based upon a Generalized Beta of the Second Kind (GB2) family of distributions or (2) a generalized linear modeling technique using a link function based upon a member of the G-and-H family of distributions; and storing, in a memory, values corresponding to the probability of payment model. - View Dependent Claims (34, 35)
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36. A computer readable medium containing a program which, when executed by a processor, performs a method for modeling debtor behavior, comprising:
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obtaining historic credit data for each of at least one debtor in a debt portfolio; determining a probability of payment model by processing the historic credit data according to either of (1) a generalized linear modeling technique with a link function based upon a Generalized Beta of the Second Kind (GB2) family of distributions or (2) a generalized linear modeling technique using a link function based upon a member of the G-and-H family of distributions; and storing, in a memory, values corresponding to the probability of payment model. - View Dependent Claims (37, 38)
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Specification