Automated loan evaluation system
Abstract
Disclosed is a system and method of creating a probability of delinquency database using historical loan data and a plurality of loan factors, for use in determining a loan rate, the method comprising: identifying a plurality of multi-level loan factors; creating a pool from the historic loan data, wherein the first pool contains records relating to the plurality of multi-level loan factors; separating the pool into a set of groups based on the multi-level loan factors, calculating a probability of delinquency for each group; and arranging the probability of delinquency for each group into a database such that the probability of delinquency for each group is accessible for any combination of multi-level loan factors. Also disclosed is a system and method of determining the loan rate for a loan for a borrower based on the probability of delinquency database.
Claims
exact text as granted — not AI-modified1 - 9 . (canceled)
10 . A method of determining the loan rate for a loan for a borrower comprising:
(a) determining a payment history of the borrower; (b) determining a Loan-to-Value (“LTV”) for the borrower; (c) determining a credit rating for the borrower; (d) selecting a group of historical data, wherein each element of the group has a historic payment history within a first predetermined amount of the borrower's payment history, a historic credit rating within a second predetermined amount of the borrower's credit rating, and an historic LTV within a third predetermined amount of the borrower's LTV; (e) determining a first probability of delinquency of the group from an incidence of delinquency for the group; (f) determining a second probability of delinquency using applicable add-on loan factors; (g) combining the first probability of delinquency with the second probability of delinquency to determine a total probability of delinquency factor; and (h) calculating the loan rate for the loan using the total probability of delinquency factor.
11 . The method of claim 10 , wherein step (d) further comprises:
(a) determining a credit grade for the borrower by using a predetermined criteria based on the borrower's payment history; (b) selecting a credit grade matrix based on the credit grade; and (c) selecting the first probability of delinquency from the credit grade matrix using the borrower's credit rating and the borrower's LTV.
12 . The method of claim 10 , wherein step (f) further comprises:
(a) determining which add-on factors are-applicable to the borrower, (b) adding the applicable add-on to determine the total probability of delinquency factor.
13 . The method of claim 10 , wherein the add-on factors are selected from the group consisting of: alternative documentation, stated documentation, number of units, owner occupation, no mortgage history, combined loan-to-value ratio, cash out, debt-to-income ratio, and bankruptcy.
14 . The method of claim 10 wherein the loan rate is calculated by a function of: a Funding Rate, an Average Life of the Loan, the total probability of delinquency, an Expected Loss, and a Profit Goal.
15 . The method of claim 10 wherein the loan rate is calculated by:
P
=
[
F
(
A
)
C
+
L
-
C
(
L
)
+
G
]
A
C
Wherein P is the Loan Rate, F is a Funding Rate, A is an Average Life of the Loan, C is (1 minus the total probability of delinquency) multiplied by 100, L is an Expected Loss, and G is a Profit Goal.
16 . The method of claim 10 , wherein the historical data is divided into a plurality of groups divided by payment histories, LTVs, and credit ratings.
17 . The method of claim 16 , wherein the probability of delinquency for each group of the plurality of groups is computed and stored in a database.
18 . The method of claim 17 wherein the probability of delinquency for each group is transformed into a loan score.
19 . The method of claim 18 wherein the database is stored in a matrix format.
20 . The method of claim 10 , wherein the additional probability of delinquencies are transformed into add-on scores.
21 - 26 . (canceled)Join the waitlist — get patent alerts
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