Method and system for updating a loan portfolio with information on secondary liens

• US 7,873,570 B2
• Filed: 08/30/2010
• Issued: 01/18/2011
• Est. Priority Date: 08/05/2005
• Status: Active Grant

• Current Assignee: Corelogic Solutions LLC (CoreLogic Incorporated)
• Original Assignee: CoreLogic Information Solutions Incorporated (CoreLogic Incorporated)
• Inventors: Cagan, Christopher L., Gussmann, David, Crawford, Charles E. Jr.
• Primary Examiner(s): Colbert; Ella
• Assistant Examiner(s): Ojiaku; Chika
• Application Number:
  US12/871,782
• Publication Number:
  US 20100325067A1
• Time in Patent Office: 141 Days
• Field of Search: 705/36, 705/17, 235/380, 1/1
• US Class Current: 705/38
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G06Q 50/16 Real estate

Abstract

A computer-based method of updating a client loan portfolio with information on secondary liens relatable to portfolio properties includes inputting property data from the portfolio, monitoring a secondary lien database for secondary liens relatable to the property data, and notifying the client if a secondary lien is detected. Notifying the client may include generating a secondary lien report containing an AVM score or a CLTV ratio, and updating the portfolio by generating a new version of the portfolio that includes secondary liens detected during monitoring. A system may include a client station for inputting data for monitoring, an FTP server for uploading the data from the client station, and a mainframe server for standardizing the data, searching databases for secondary liens, calculating the AVM score and CLTV ratio, and generating the secondary lien report for delivery to the client station via the FTP server.

Claims

1. A computer-based method of updating a client loan portfolio with information on secondary liens, comprising:

receiving, using a processor, property data from the client loan portfolio;

iteratively monitoring, using the processor, at least one database for secondary liens relatable to the property data; and

updating, using the processor, the property data from the client loan portfolio if a previously undetected secondary lien relatable to the property data is detected.

2. The method of claim 1, wherein the updating step includes:

computing, using the processor, an automated valuation model (AVM) score,

computing, using the processor, a combined loan-to-value (CLTV) score based on the previously undetected secondary lien and the AVM score, and

updating, using the processor, the property data from the client loan portfolio with the CLTV score.

3. The method of claim 2, wherein the CLTV includes a total loan amount divided by the AVM, and the total loan amount is based on an original loan and the previously undetected secondary lien.

4. The method of claim 2, further comprising generating, using the processor, a report including the previously undetected secondary lien and the CLTV score.

5. The method of claim 4, further comprising sending, using a server coupled to the processor, the report to a client.

6. The method of claim 1, further comprising extracting, using the processor, borrower identification data from the property data before the iteratively monitoring step.

7. The method of claim 6, further comprising obtaining, using the processor, credit report information relatable to the borrower identification data when the previously undetected secondary lien is detected.

8. The method of claim 1, further comprising extracting, using the processor, property address data from the property data before the iteratively monitoring step.

9. The method of claim 8, wherein the updating step includes:

computing, using the processor, an automated valuation model AVM score based on the property address data,

computing, using the processor, a combined loan-to-value (CLTV) score based on the previously undetected secondary lien and the AVM score, and

updating, using the processor, the property data from the client loan portfolio with the CLTV score.

10. The method of claim 1, wherein the iteratively monitoring step is iterated at a monitoring frequency, and wherein the monitory frequency is based on a parameter selected from a group consisting of a reference interest rate, an amount of credit card debt of a property owner relatable to the property data, and combinations thereof.

11. A tangible, computer readable medium comprising program instructions, wherein the program instructions cause a computer to:

receive property data from a client loan portfolio;

iteratively monitor for secondary liens relatable to the property data; and

update the property data from the client loan portfolio if a previously undetected secondary lien relatable to the property data is detected.

12. The tangible, computer readable medium of claim 11, wherein the program instructions further cause the computer to:

compute an automated valuation model (AVM) score,

compute a combined loan-to-value (CLTV) score based on the previously undetected secondary lien and the AVM score, and

update the property data from the client loan portfolio with the CLTV score.

13. The tangible, computer readable medium of claim 12, wherein the CLTV includes a total loan amount divided by the AVM, and the total loan amount is based on an original loan and the previously undetected secondary lien.

14. The tangible, computer readable medium of claim 12, wherein the program instructions further cause the computer to generate a report including the previously undetected secondary lien and the CLTV score.

15. The tangible, computer readable medium of claim 14, wherein the program instructions further cause the computer to send the report to a client.

16. A system for updating a loan portfolio with information on secondary liens, comprising:

a processor configured to receive loan data from the loan portfolio; and

a server coupled to the processor and accessing the loan data, the server having;

a search engine configured to iteratively monitor at least one database for secondary liens relatable to the loan data, and

a report module configured to update the loan data when a previously undetected secondary lien relatable to the loan data is detected.

17. The system of claim 16, wherein the report module of the server is configured to:

compute an automated valuation model (AVM) score,

compute a combined loan-to-value (CLTV) score based on the previously undetected secondary lien and the AVM score, and

update the loan data with the CLTV score.

18. The system of claim 17, wherein the CLTV includes a total loan amount divided by the AVM, and the total loan amount is based on an original loan and the previously undetected secondary lien.

19. The system of claim 17, wherein the report module is configured to generate a report including the previously undetected secondary lien and the CLTV score.

20. The system of claim 19, wherein the processor is configured to receive the report and send the report to a client.

21. A computer-based method of updating a client loan portfolio with information on secondary liens, comprising:

receiving, using a processor, property data from the client loan portfolio;

iteratively monitoring, using the processor, at least one database for secondary liens relatable to the property data, the iteratively monitoring iterated at a monitoring frequency based on a parameter selected from a group consisting of a first-time home buyer status, a credit card debt history, a secondary lien history, a financial indicator, and combinations thereof; and

updating, using the processor, the property data from the client loan portfolio if a previously undetected secondary lien relatable to the property data is detected.

22. The method of claim 21, wherein the financial indicator is selected from a group consisting of a prime interest rate, a LIBOR reference rate, and combinations thereof.

23. A computer-based method of updating a client loan portfolio with information on secondary liens, comprising:

receiving, using a processor, property data from the client loan portfolio;

iteratively monitoring, using the processor, at least one database for secondary liens relatable to the property data; and

updating, using the processor, the property data from the client loan portfolio if a previously undetected secondary lien relatable to the property data is detected, the updating the property data including;

computing an automated valuation model (AVM) score,

computing a combined loan-to-value (CLTV) score based on the previously undetected secondary lien and the AVM score,

storing the previously undetected secondary lien, the AVM score, and the CLTV score to the property data from the client loan portfolio, and

generating a secondary lien report including the CLTV score.

24. A computer-based method of updating a client loan portfolio with information on secondary liens, comprising:

receiving, using a processor, property data from the client loan portfolio;

extracting, using the processor, property address data and owner identity data from the property data from the client loan portfolio;

iteratively monitoring, using the processor, at least one database for secondary liens relatable to the property address data or the owner identity data; and

updating, using the processor, the property data from the client loan portfolio if a previously undetected secondary lien relatable to the property data is detected.

25. The method of claim 24, wherein the updating step includes:

computing, using the processor, an automated valuation model (AVM) score,

computing, using the processor, a combined loan-to-value (CLTV) score based on the previously undetected secondary lien and the AVM score, and

updating, using the processor, the property data from the client loan portfolio with the CLTV score.