Business enterprise risk model and method

• US 20050027645A1
• Filed: 01/31/2003
• Published: 02/03/2005
• Est. Priority Date: 01/31/2002
• Status: Abandoned Application

• Current Assignee: Sebury Analytic LLC
• Original Assignee: Sebury Analytic LLC
• Inventors: Tang, Wai-Keung, Lu, Hung Jung, Lui, William, Wai, Shing
• Application Number:
  US10/502,901
• Publication Number:
  US 20050027645A1
• Time in Patent Office: Days
• US Class Current: 705/38
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

A method for evaluating the risk associated with an enterprise is presented. The method, based on a value-at-risk approach, uses a large number of scenarios to simulate the potential variation in the enterprise'"'"'s future surplus capital based on its current assets and liabilities, and produces a probability distribution of future surplus capital. The scenarios are generated using quasi-Monte Carlo techniques in order to quickly achieve realistic scenarios. Each asset and each type of liability is modeled rigorously, and the effect of credit, interest rate, insurance, currency exchange, and equity risks on those assets and liabilities determined. The model also allocates surplus capital by division according to the risk associated with each division. The model is particularly well-suited for insurance companies.

Claims

1. A method for assessing the risk to the future capital surplus of an enterprise, said method comprising the steps of:

(a) identifying assets and liabilities of an enterprise;

(b) obtaining data regarding changes in the value of said assets and said liabilities;

(c) analyzing said data to determine variables and correlations among said variables that affect the value of said assets and said liabilities;

(d) simulating at least one scenario of said variables based on said correlations; and

(e) calculating the capital surplus of said enterprise based on the value of said assets and said liabilities for said at least one scenario.

2. The method as recited in claim 1, wherein said simulating step includes simulating multiple scenarios, and said method further comprises the step of producing a distribution of said calculated capital surpluses.

3. The method as recited in claim 2, wherein said simulating step uses quasi-Monte Carlo methods for simulating said multiple future value scenarios.

4. The method as recited in claim 1, wherein said enterprise is an insurance company, and said liabilities include insurance policies.

5. The method as recited in claim 4, wherein said insurance policies have cancellation options exercisable by insureds, and wherein said variables include behavior variables related to exercise of said cancellation options by said insureds, and said scenarios include said behavior variables.

6. The method as recited in claim 1, wherein said at least one scenario simulates said variables at a time one year in the future.

7. The method as recited in claim 1, wherein said enterprise has plural operating divisions, and wherein said method further comprises the step of calculating risk adjusted return on capital for each of said plural operating divisions.

8. A method for analyzing an insurance company according to downside risk to the capital surplus of said insurance company, said method comprising the steps of:

(a) identifying assets and liabilities of an enterprise;

(b) obtaining data regarding changes in the value of said assets and said liabilities;

(c) analyzing said data to determine variables and correlations among said variables that affect the value of said assets and said liabilities;

(d) simulating multiple scenarios of said variables based on said correlations; and

(e) calculating the capital surplus of said enterprise based on the value of said assets and said liabilities for said multiple scenarios;

(f) producing a distribution of said calculated capital surplus;

(g) extracting a downside risk from said distribution; and

(h) analyzing said insurance company based said downside risk.

9. The method as recited in claim 8, wherein said extracting step further comprises the steps of:

(a) calculating a variance of said distribution; and

(b) calculating the ratio of capital surplus to said variance to produce said downside risk.

10. The method as recited in claim 8, wherein said downside risk is selected from the group consisting of probability of default, probability of loss of 50% of capital and probability of loss of 25% capital.

11. The method as recited in claim 8, wherein said changes in said values of said assets and said liabilities result from risk selected from the group consisting of currency exchange risk, interest rate risk, credit rating risk, equity value risk, insurance risk, and combinations thereof.

12. The method as recited in claim 8, wherein said liabilities are selected from the group consisting of life insurance, health insurance, property and casualty insurance, annuities, structured settlements, and combinations thereof.

13. The method as recited in claim 8, wherein said assets are selected from the group consisting of asset-based securities, mortgage-based securities, government bonds, municipal bonds, corporate bonds, preferred stocks, common stocks, caps, swaps, futures, mortgages, real estate holdings, loans, reinsurance receivables, long term investments, and combinations thereof.

14. The method as recited in claim 8, wherein said insurance policies have cancellation options exercisable by insureds, and wherein said variables include behavior variables related to exercise of said cancellation options by said insureds, and said scenarios include said behavior variables.

15. A method of assessing the performance of an enterprise, said method comprising the steps of:

(a) identifying assets and liabilities of an enterprise;

(b) obtaining data regarding changes in the value of said assets and said liabilities;

(c) analyzing said data to determine variables and correlations that affect the value of said assets and said liabilities;

(d) simulating multiple scenarios of said variables based on said correlations; and

(e) calculating the capital surplus of said enterprise based on the value of said assets and said liabilities for said multiple scenarios;

(f) producing a distribution of said calculated capital surplus; and

(g) analyzing said distribution.

16. The method as recited in claim 15, wherein said simulating step further comprises the step of generating said multiple scenarios using quasi-Monte Carlo methods.

17. The method as recited in claim 15, wherein said multiple scenarios is at least 1,000 scenarios.

18. The method as recited in claim 15, wherein said enterprise has more than one division, and said method further comprises the step of allocating capital among said more than one division.

19. The method as recited in claim 18, wherein said step of allocating capital among said more than one division allocates said capital to said more than one division based on risk assumed by said more than one division.

20. The method as recited in claim 15, wherein said enterprise has more than one division, and said method further comprises the step of allocating return on capital to said more than one division.

21. The method as recited in claim 20, wherein said return on capital is risk-adjusted prior to allocation to said more than one division.

22. The method as recited in claim 15, wherein said distribution is characterized by a standard deviation, and wherein said analyzing step further comprises the step of calculating the ratio of capital surplus to said standard deviation.

23. A method of evaluating performance of an enterprise having operating divisions, said method comprising the steps of:

(a) identifying an enterprise having plural divisions;

(b) scaling assets and liabilities of each division of said plural divisions by a factor to yield slices of said assets and said liabilities of said each division;

(c) determining incremental contributions in the future to said surplus capital of said enterprise by said slices beginning with a single slice of said first division and proceeding to a first slice of a second division and continuing until said contribution of a last slice of said assets and said liabilities of a last division is determined;

(d) adding said incremental contributions to said surplus capital for said each division from said slices to obtain the contribution in the future of said each division to said surplus capital of said enterprise; and

(e) identifying the risk distribution contribution from said each division from the added incremental contributions of said each division.

24. The method as recited in claim 23, further comprising the steps of

(a) determining surplus capital for said enterprise;

and

(b) allocating surplus capital of said enterprise to said each division in accordance with said risk

25. The method as recited in claim 23, wherein said factor is at least 100.

26. The method as recited in claim 23, wherein said determining step further comprises the steps of:

(a) identifying said assets and liabilities of said enterprise;

(b) obtaining data regarding changes in the value of said assets and said liabilities;

(c) analyzing said data to determine variables and correlations that affect the value of said assets and said liabilities; and

(d) simulating multiple scenarios of said variables based on said correlations; and

(e) calculating the capital surplus of said enterprise based on the value of said assets and said liabilities for said multiple scenarios.

27. The method as recited in claim 26, wherein said multiple scenarios are generated using quasi-Monte Carlo methods.