Systems and methods for credit worthiness scoring and loan facilitation

1. A computer-implemented method for generating a financial score, comprising:

collecting a first data set of user-independent information, the first data set having values of a general population within a category common to a user, including individual income and education information;

collecting a second data set of user information, the second data set being specific to the user;

aggregating information from the first data set with information from the second data set to create an aggregate data set;

storing the aggregate data set on a computer readable medium;

using at least one processor, predicting a future income path for the user on the basis of information in the aggregate data set, the future income path comprises at least one possible realization of income in the future;

determining risk associated with the predicted future income path, wherein the risk comprises a deviation from the predicted future income path; and

generating a financial score for the user based on the predicted future income path and the risk associated with the predicted future income path.

2. The method of claim 1 wherein the step of collecting the second data set of comprises collecting educational information.

3. The method claim 1 receiving user attribute values comprising an age value, an education value and an occupation value of the user and predicting the future income path based on the user attribute values received.

4. The method of claim 1 wherein the step of determining risk associated with the income path comprises calculating a distribution of change for the income path.

5. The method of claim 1 wherein generating the financial score for the user comprises displaying a numerical value and a graphical representation of the income path.

6. A non-transitory computer readable media comprising program code that when executed by a programmable processor causes execution of a method for generating a financial score comprising:

collecting a first data set of user-independent information, the first data set having values of a general population within a category common to a user, including individual income and education information;

collecting a second data set of user information, the second data set being specific to the user;

aggregating information from the first data set with information from the second data set to create an aggregate data set;

storing the aggregate data set on a computer readable medium;

predicting a future income path for a user on the basis of information in the aggregate data set, the future income path comprises at least one possible realization of income in the future;

determining risk associated with the predicted future income path, wherein the risk comprises a deviation from the predicted future income path; and

generating a financial score for the user based on the predicted future income path and the risk associated with the predicted future income path.

7. The computer readable media of claim 6 , wherein collecting the second data set comprises collecting educational information.

8. The computer readable media of claim 6 , the method comprising receiving user attribute values comprising an age value, an education value and an occupation value of the user and predicting the future income path based on the user attribute values received.

9. The computer readable media of claim 6 , wherein determining risk associated with the income path comprises calculating a distribution of change for the income path.

10. The computer readable media of claim 6 , wherein generating the financial score for the user comprises displaying a numerical value and a graphical representation of the income path.

11. A computerized system for generating a financial score, the system comprising: a non-transitory computer readable medium having program code that when executed by a programmable processor causes the programmable processor to execute a method for generating a financial score, comprising:

collecting a first data set of user-independent information, the first data set having values of a general population within a category common to a user, including individual income and education information;

collecting a second data set of user information, the second data set being specific to the user;

aggregating information from the first data set with information from the second data set to create an aggregate data set;

storing the aggregate data set on the computer readable medium;

predicting a future income path for a user on the basis of information in the aggregate data set, the future income path comprises at least one possible realization of income in the future;

determining risk associated with the predicted future income path, wherein the risk comprises a deviation from the predicted future income path; and

generating a financial score for the user based on the predicted future income path and the risk associated with the predicted future income path.

12. The system of claim 11 wherein collecting the second data set comprises collecting educational information.

13. The system of claim 11 the method comprising receiving user attribute values comprising an age value, an education value and an occupation value of the user and predicting the future income path based on the user attribute values received.

14. The system of claim 11 wherein determining risk associated with the income path comprises calculating a distribution of change for the income path.

15. The system of claim 11 wherein generating the financial score for the user further comprises displaying a numerical value and a graphical representation of the income path.

16. A method for processing financial instruments on a network, comprising:

displaying, on a networked device, an offer to enter into a financial contract associated with a borrower; auctioning the financial contract to a plurality of lenders;

providing borrower information to a given lender, the borrower information comprising a score generated by a processor based on a predicted future income path of the borrower and a risk associated with the predicted future income path, wherein the future income possible realization of income in the future and the risk comprises a deviation from the predicted future income path;

receiving bid information from the given lender, the bid information from the given lender matched to the financial contract; and

storing auction information on a computer readable medium.

17. The method of claim 16 wherein the borrower information further comprises a score chart.

18. The method of claim 16 wherein the borrower information is selected by the given lender.

19. The method of claim 16 wherein the borrower information is associated with the financial contract.

20. The method of claim 16 wherein the step of receiving bid information from the given lender further comprises receiving a fractional bid.

21. Non-transitory computer readable media comprising program code that when executed by a programmable processor causes execution of a method for processing financial instruments comprising:

providing an offer to enter into a financial contract associated with a borrower;

auctioning the financial contract to a plurality of lenders;

providing borrower information to a given lender, the borrower information comprising a score generated based on a predicted future income path of the borrower and a risk associated with the predicted future income path, wherein the future income path comprises at least one possible realization of income in the future and the risk comprises a deviation from the predicted future income path;

receiving bid information from the given lender, the bid information from the given lender matched to the financial contract; and

storing auction information on a computer readable medium.

22. The computer readable media of claim 21 wherein the borrower information further comprises a score chart.

23. The computer readable media of claim 21 wherein the borrower information is based on criteria selected by the given lender.

24. The computer readable media of claim 21 wherein the borrower information is associated with the financial contract.

25. The computer readable media of claim 21 wherein receiving bid information from the given lender further comprises receiving a fractional bid.

26. A system for processing financial instruments on a network, the system comprising a non-transitory computer readable medium having program code that when executed by a programmable processor causes the programmable processor to execute a method comprising:

providing an offer to enter into a financial contract associated with a borrower;

auctioning the financial contract to a plurality of lenders;

providing borrower information to a given lender, the borrower information comprising a score generated based on a predicted future income path of the borrower and a risk associated with the predicted future income path, wherein the future income path comprises at least one possible realization of income in the future and the risk comprises a deviation from the predicted future income path;

receiving bid information from the given lender, the bid information from the given lender matched to the financial contract; and

storing auction information on a computer readable medium.

27. The system of claim 26 wherein the borrower information further comprises a score chart.

28. The system of claim 26 wherein the borrower information is based on criteria selected by the given lender.

29. The system of claim 26 wherein the borrower information is associated with the financial contract.

30. The system of claim 26 wherein receiving bid information from the given lender comprises receiving a fractional bid.

31. A method for processing financial contracts online, the method comprising:

providing a social network interface to connect a borrower with a plurality of lenders;

generating a financial score, using a pricing engine for the borrower on the basis of a predicted future income path of the borrower, a risk associated with the predicted future income path, and an input received from the borrower, wherein the future income path comprises at least one possible realization of income in the future and the risk comprises a deviation from the predicted future income path;

executing program code associated with the pricing engine on a processor;

generating terms for a financial contract associated with the borrower on the basis of the income path and the input received from the borrower; auctioning the financial contract associated with the borrower to a plurality of lenders; and

using a peer-to-peer model to allow a given lender to place a fractional bid on the financial contract associated with the borrower.