Method and apparatus for risk based pricing

• US 20020198819A1
• Filed: 06/21/2001
• Published: 12/26/2002
• Est. Priority Date: 06/21/2001
• Status: Abandoned Application

• Current Assignee: General Electric Capital Corporation (General Electric Company)
• Original Assignee: General Electric Capital Corporation (General Electric Company)
• Inventors: Tom, Daniel, Munoz, Rodrigo
• Application Number:
  US09/886,434
• Publication Number:
  US 20020198819A1
• Time in Patent Office: Days
• US Class Current: 705/38
• 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

Abstract

A system, method, apparatus, computer program code and means for pricing a financial product includes first receiving application data. A price for the financial product is selected. Based on the application data, expected loss data for the application is calculated. A potential return on investment (ROI) for the application is then calculated based at least in part on the expected loss data and the price. The application, with the selected price, is approved if the potential ROI is within a target ROI.

Claims

1. A method of pricing a financial product, the method comprising:

receiving application data;

selecting a price for said financial product;

calculating, based at least in part on said application data, expected cash flow data;

calculating, based at least in part on said expected cash flow data and said price, a potential return on investment (ROI) for said application; and

approving said application with said price if said potential ROI is within a target ROI.

2. The method of claim 1, wherein said application data includes at least one of:

applicant information, collateral information, and payment information.

3. The method of claim 1, further comprising:

repeating said selecting a price, calculating expected cash flow data, and calculating a potential ROI if said potential ROI is not within said target ROI.

4. The method of claim 3, wherein said selecting a price further comprises increasing said price by an increment.

5. The method of claim 3, wherein said price is an annual percentage rate (APR) and wherein said increment is 0.25.

6. The method of claim 3, wherein said selecting a price further comprises decreasing said price by an increment.

7. The method of claim 1, wherein said price is an initial price, and wherein said price is an annual percentage rate (APR), and said initial price is selected below a current market APR.

8. The method of claim 1, further comprising calculating expected loss data, wherein said calculating comprises:

executing an account level loss forecast model;

executing a termination event model; and

calculating an expected loss in response to the execution of the account level loss forecast model and the execution of the termination event model.

9. The method of claim 8, wherein said executing an account level loss forecast model further comprises:

calculating a future value for an item of collateral associated with said application.

10. The method of claim 8, wherein said calculating expected loss data further comprises:

executing a risk model to compute a credit risk; and

generating probabilities of one or more termination events occurring before expiration of said financial product to form one or more termination scenarios.

11. The method of claim 10, wherein said calculating a potential ROI further comprises:

forecasting, based at least on said price, the severity of loss of said termination scenarios to form one or more loss scenarios;

calculating net income and annualized net investment for said loss scenarios; and

determining a potential ROI based on a ratio comprising said net income and said annualized net investment.

12. The method of claim 10, wherein said generating probabilities further comprises:

generating probabilities of said termination events occurring in relation to a plurality of payment times.

13. The method of claim 11, wherein said forecasting the severity of loss further comprises:

forecasting the severity of loss of said termination scenarios for at least a plurality of payment times.

14. The method of claim 10, wherein said financial product requires an item of collateral and wherein said forecasting comprises:

forecasting a current balance on book;

forecasting a market value of said collateral; and

calculating a difference between said current balance on book and said market value of said collateral.

15. The method of claim 14, wherein said forecasting a market value is performed using at least one of:

Winter'"'"'s multiplicative time series estimation;

or an exponential decay between a manufacturer suggested retail price of said collateral and a residual value of said collateral at the expiration.

16. The method of claim 10, wherein said financial product is a lease.

17. The method of claim 16, wherein said termination events comprise at least one of:

repossession with delinquencies, early payoff, insurance loss, and repossession without delinquencies.

18. The method of claim 10, wherein said financial product is a loan.

19. The method of claim 18, wherein said termination events comprise at least one of:

repossession, non-collateralized loss and early payoff.

20. A computer-readable medium bearing a computer program containing instruction steps such that upon installation of said computer program in a general purpose computer, the computer is capable of performing the method of claim 1.

21. A method of pricing a financial product, the method comprising:

receiving application data;

selecting an initial price for said financial product;

calculating, based at least in part on said application data, expected loss data;

calculating, based at least in part on said expected loss data and said initial price, a potential return on investment (ROI) for said application;

selecting a revised price for said financial product if said potential ROI based on said initial price is outside a target ROI;

calculating, based at least in part on said expected loss data and said revised price, a revised potential ROI for said application; and

approving said application if said revised potential ROI for said application is within a target ROI.

22. An apparatus for pricing a financial product, the apparatus comprising:

a processor;

a communication device, coupled to said processor, receiving application data from at least a first user device; and

a storage device in communication with said processor and storing instructions adapted to be executed by said processor to;

select a price for said financial product;

calculate, based at least in part on said application data, expected loss data;

calculate, based at least in part on said expected loss data and said price, a potential return on investment (ROI) for said application; and

approve said application with said price if said potential ROI is within a target ROI.

23. The apparatus of claim 22, wherein said storage device further storing instructions adapted to be executed by said processor to:

select an updated price for said financial product if said potential ROI is not within a target ROI based on said initial price;

calculate an updated potential ROI for said application; and

approve said application with said updated price if said updated potential ROI is within said target ROI.

25. The system of claim 24, wherein said second storage device further storing instructions adapted to be executed by said second processor to forward application approval data to said at least first device.

24. A system for pricing a financial product, comprising:

at least a first user device having a processor;

a communication device, coupled to said processor, configured to send and receive data over a network; and

a storage device in communication with said processor and storing instructions adapted to be executed by said processor to

receive application data; and

forward said application data to an at least first lender device said at least first lender device having

a second processor,

a second communication device, coupled to said second processor, configured to send and receive data over said network and to receive said application data; and

a second storage device in communication with said second processor and storing instructions adapted to be executed by said second processor to

select a price for said financial product;

calculate, based at least in part on said application data, expected loss data;

calculate, based at least in part on said expected loss data and said price, a potential return on investment (ROI) for said application; and

approve said application with said price if said potential ROI is within a target ROI.

26. A computer program product in a computer readable medium for pricing a financial product, comprising:

first instructions for receiving application data;

second instructions for selecting an initial price for said financial product;

third instructions for calculating, based at least in part on said application data, expected loss data;

fourth instructions for calculating, based at least in part on said expected loss data and said initial price, a potential return on investment (ROI) for said application;

fifth instructions for selecting a revised price for said financial product if said potential ROI based on said initial price is outside a target ROI;

sixth instructions for calculating, based at least in part on said expected loss data and said revised price, a revised potential ROI for said application; and

seventh instructions for approving said application if said revised potential ROI for said application is within a target ROI.

27. A device for pricing a financial product, the device comprising:

means for receiving application data;

means for selecting a price for said financial product;

means for calculating, based at least in part on said application data, expected loss data;

means for calculating, based at least in part on said expected loss data and said price, a potential return on investment (ROI) for said application; and

means for approving said application with said price if said potential ROI is within a target ROI.