System and method for analyzing financial risk

• US 20060059073A1
• Filed: 09/15/2005
• Published: 03/16/2006
• Est. Priority Date: 09/15/2004
• Status: Abandoned Application

• Current Assignee: Walzak Risk Analysis LLC
• Original Assignee: Walzak Risk Analysis LLC
• Inventors: Walzak, Rebecca B.
• Application Number:
  US11/227,339
• Publication Number:
  US 20060059073A1
• Time in Patent Office: Days
• US Class Current: 705/35
• 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

Abstract

The invention relates to the development of systems and methods for assessing a particular loan'"'"'s financial risk due to process variations that have occurred in the underwriting and closing of the loan. The financial risk associated with a particular loan is expressed in terms of a quantitative score (a financial risk score) indicating the probability of the loan being defaulted on. The systems and methods of the invention provide purchasers of loans with a means to predict, in advance of purchasing a particular loan, the probability of the loan being defaulted on. Lenders who conduct quality control reviews and analyses of denied loan applications, as well as investors who wish to determine the regulatory risk associated with a loan, will also find use for the financial risk score generated by the systems and methods of the invention.

Claims

1. A method for assessing a particular loan'"'"'s financial risk, the method comprising the steps of:

(a) providing a predictive model based on a plurality of loans that have been deemed delinquent;

(b) acquiring data pertaining to a borrower who has obtained a particular loan and data pertaining to the particular loan;

(c) processing the acquired data to identify process variations; and

(d) applying the predictive model to the processed data pertaining to the borrower and to the particular loan to generate a financial risk score for the particular loan.

2. The method of claim 1, further comprising the step (e) of use of the generated financial risk score by an entity who is interested in purchasing the particular loan to determine whether or not to purchase the particular loan.

3. The method of claim 1, wherein at least one of the steps is implemented on a computer.

4. The method of claim 1, wherein the steps (c) of processing the acquired data to identify process variations and (d) of applying the predictive model to the processed data pertaining to the borrower and to the particular loan to generate a financial risk score for the particular loan are performed using a computer-implemented algorithm.

5. The method of claim 1, wherein the plurality of loans that have been deemed delinquent have been delinquent for at least 90 days.

6. The method of claim 1, wherein the particular loan is a property or housing loan.

7. The method of claim 1, wherein the data pertaining to the borrower comprises income information and credit information.

8. The method of claim 1, wherein the data pertaining to the particular loan comprises loan amount, interest rate, and type of loan.

9. The method of claim 8, wherein the data pertaining to the particular loan further comprises information pertaining to each step involved in underwriting and closing the particular loan.

10. The method of claim 1, wherein the generated financial risk score is a number between 0 and 100.

11. A system for assessing a particular loan'"'"'s financial risk, the system comprising:

(a) a means for acquiring and processing data pertaining to a borrower who has obtained a particular loan and data pertaining to the particular loan;

(b) a means for applying a predictive model based on a plurality of loans that have been deemed delinquent to the processed data to generate a financial risk score for the particular loan.

12. The system of claim 11, wherein the means for acquiring and processing data pertaining to a borrower who has obtained a particular loan and data pertaining to the particular loan comprises a computer-implemented, rules-based statistical algorithm.

13. The system of claim 12, wherein the computer-implemented, rules-based statistical algorithm is executed by an Artificial Intelligence system.

14. The system of claim 11, wherein the means for applying the predictive model to the processed data to generate a financial risk score for the particular loan comprises a statistical algorithm.

15. The system of claim 14, wherein the statistical algorithm comprises Maximum Likelihood Logistic Regression.

16. The system of claim 11, wherein the particular loan is a property or housing loan.

17. The system of claim 11, wherein the data pertaining to the borrower comprises income information and credit information.

18. The system of claim 11, wherein the data pertaining to the particular loan comprises loan amount, interest rate, and type of loan.

19. The system of claim 11, wherein the data pertaining to the particular loan further comprises information pertaining to each step involved in underwriting and closing the particular loan.

20. The system of claim 11, wherein the generated financial risk score is a number between 0 and 100.

21. The system of claim 11, further comprising (c) a database storing thereon the data pertaining to the borrower, the data pertaining to the particular loan, and the predictive model.

22. A computer-readable medium comprising instructions coded thereon that, when executed on a suitably programmed computer, execute the step of applying a predictive model based on a plurality of loans that have been deemed delinquent to processed data pertaining to a borrower of a particular loan and data pertaining to the particular loan to generate a financial risk score for the particular loan.

23. The computer-readable medium of claim 22, wherein the plurality of loans that have been deemed delinquent have been delinquent for at least 90 days.

24. The computer-readable medium of claim 23, wherein the particular loan is a property or housing loan.

25. The computer-readable medium of claim 23, wherein the data pertaining to the borrower comprises income information and credit information.

26. The computer-readable medium of claim 23, wherein the data pertaining to the particular loan comprises loan amount, interest rate, and type of loan.

27. The computer-readable medium of claim 26, wherein the data pertaining to the particular loan further comprises information pertaining to each step involved in underwriting and closing the particular loan.

28. The computer-readable medium of claim 23, wherein the generated financial risk score is a number between 0 and 100.