Method for Generating a Computer-Processed Financial Tradable Index

• US 20100030799A1
• Filed: 07/30/2008
• Published: 02/04/2010
• Est. Priority Date: 07/30/2008
• Status: Abandoned Application

• Current Assignee: 3phases LLC
• Original Assignee: 3phases LLC
• Inventors: Parker, Daniel J., Rothenberg, Erik
• Application Number:
  US12/182,561
• Publication Number:
  US 20100030799A1
• Time in Patent Office: Days
• US Class Current: N/A
• 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

Abstract

A method for generating a computer-processed financial tradable index comprising the steps of gathering organizational data, gathering sentiment data, combining the organizational data and the sentiment data and computing a financial tradable index. More specifically, the organizational data is accessed from public data, entity data and third party data and is representative of environmental, regulatory, economic, technical, social, legal, financial, political and/or policy information. The sentiment data is obtained from an online community and group data comprising perception polls, surveys, questionnaires, pick lists, votes, opinion polls and/or individual opinions. The organizational data and the sentiment data are then multiplied by weighting factors and aggregated into a financial tradable index. Within the computer system Words and/or phrases can be numerically valued, combined, aggregated to construct index valuations.

Claims

1. A method for generating a computer-processed financial tradable index, said method comprising the steps of:

gathering organizational data;

gathering sentiment data;

combining said sentiment data with said organizational data; and

computing said financial tradable index.

2. The method of claim 1, wherein said step of gathering said organizational data further comprises the step of:

obtaining said organizational data from the group consisting of public databases, entity databases, third-party databases, and combinations thereof.

3. The method of claim 1, wherein said organizational data is objective.

4. The method of claim 1, wherein said sentiment data is subjective.

5. The method of claim 1, wherein said step of gathering said sentiment data further comprises the step of:

gathering said sentiment data from a plurality of users in an on-line community.

6. The method of claim 5, wherein said sentiment data comprises consensus data.

7. The method of claim 5, wherein said on-line community includes technology networks and Internet websites.

8. The method of claim 1, wherein said step of gathering said sentiment data further comprises the step of:

selecting said sentiment data from the group consisting of responses to surveys, questionnaires, on-line pick lists, votes, opinion polls, perception polls, individual opinions, and combinations thereof.

9. The method of claim 1, said method further comprising the step of:

obtaining said organizational data from sources selected from the group consisting of social information, legal information, technological information, economic information, financial information, political information, regulatory information, environmental information, policy information, and combinations thereof.

10. The method of claim 1, said method further comprising the step of:

obtaining said organizational data from sources selected from the group consisting of municipalities, governments, for-profit entities, non-profit entities, organizations that operate in a plurality of geographic locations, organizations that operate in a plurality of industries, and combinations thereof.

11. The method of claim 1, said method further comprising the step of:

providing price transparency in trading of an investment instrument through an exchange system.

12. The method of claim 11, wherein said step of facilitating trading in an investment instrument comprises the step of:

facilitating marketing, valuation, settlement, profit incentive, business hedging and index benchmarking of an investment instrument.

13. The method of claim 1, said method further comprising the steps of:

obtaining said organizational data, wherein said organizational data is directly delivered; and

aggregating said organizational data into a computer server.

14. The method of claim 13, said method further comprising the steps of:

applying a weighting method to said organizational data, thereby forming weighted organizational data; and

forming an index from said weighted organizational data.

15. The method of claim 1, said method further comprising the steps of:

obtaining said organizational data from third parties; and

aggregating said organizational data into a computer server.

16. The method of claim 1, said method further comprising the step of:

multiplying said organizational data by weighting factors, wherein a baseline variance is created.

17. The method of claim 16, wherein said baseline variance is an historical baseline.

18. The method of claim 16, wherein said baseline variance is an organizational baseline.

19. The method of claim 16, wherein said baseline variance is a regional baseline.

20. The method of claim 16, wherein said baseline variance numerically changes as new organizational data and new sentiment data is obtained.

21. The method of claim 16, wherein said baseline variance is utilized to obtain an historical average.

22. The method of claim 16, wherein said weighting factors are respective to the type of organizational data being multiplied.

23. The method of claim 16, said method further comprising the step of:

quantifying said respective weighting factors.

24. The method of claim 1, wherein said step of combining said sentiment data with said organizational data further comprises the step of:

accumulating said sentiment data and said organizational data into a computer server.

25. The method of claim 1, wherein said organizational data and said sentiment data are based on a plurality of measurement and weighting conventions.

26. The method of claim 1, said method further comprising the step of:

obtaining said organizational data from entities existing in a plurality of geographic locations.

27. The method of claim 1, said method further comprising the step of:

obtaining said organizational data from entities operating in a plurality of industries.

28. The method of claim 1, wherein said organizational data is characterized by positive and negative numerical changes.

29. The method of claim 1, said method further comprising the step of:

relating said organizational data to financial, legal, environmental, economic, political, social, regulatory, policy and technological information.

30. The method of claim 1, wherein said organizational data comprises at least one data input selected from the group consisting of policy, environment, technology, economic, financial, legal, political, regulatory, social information, and combinations thereof.

31. The method of claim 1, wherein said step of gathering said sentiment data further comprises the step of:

obtaining a communications network, wherein said communications network comprises at least one terminal having an input device and at least one server, wherein said at least one server comprises at least one database, and wherein said at least one database comprises storage fields, an input data object generator, an output data object generator and a choice generator.

32. The method of claim 1, wherein said step of gathering said organizational data further comprises the step of:

obtaining said organizational data from sources selected from the group consisting of independent parties, public domain sources, indexes, data representing said indexes, and combinations and thereof.

33. The method of claim 1, wherein said step of gathering said sentiment data further comprises the step of:

obtaining said sentiment data from technology networks and internet websites.

34. The method of claim 1, wherein said financial tradable index is representative of social, economic, environmental, political, regulatory, legal, policy, technological and financial information.

35. The method of claim 1, wherein said step of computing said financial tradable index is representative of variance valuation.

36. The method of claim 1, wherein said financial tradable index further comprises at least one index value, and wherein said at least one index value is the basis for a transaction between at least two parties.

37. The method of claim 36, wherein said transaction takes place on a financial exchange.

38. The method of claim 36, wherein said transaction takes separate from a financial exchange.

39. The method of claim 1, wherein said step of computing said financial tradable index further comprises the step of:

recompiling a new financial tradable index when new sentiment and new organizational data is gathered.

40. The method of claim 1, wherein said step of computing said financial tradable index further comprises the step of:

deriving said financial tradable index during a fixed period of time.

41. The method of claim 1, wherein said step of computing said financial tradable index further comprises the step of:

recompiling a new financial tradable index when additional sentiment data and additional organizational data are gathered.

42. The method of claim 1, wherein said step of gathering sentiment data further comprises the step of:

obtaining said sentiment data from a voting community via a computer network.

43. The method of claim 1, wherein said step of combing said sentiment data with said organizational data further comprises the step of:

processing said sentiment data and said organizational data via a computer network; and

attaching numerical values to words or phrases for the purpose of index creation or valuation.

44. The method of claim 1, wherein said sentiment data and said organizational data is gathered from a plurality of data sources.

45. The method of claim 1, wherein said method further comprises the step of:

searching said financial tradable index via evaluating queries, wherein said evaluating queries comprise search terms, phrases and individual words.

46. The method of claim 45, wherein said evaluating queries are assigned a search value via a search value algorithm.

47. A method of generating a financial index comprising the steps of:

populating a computer server with organizational data, wherein said organizational data is selected from the group consisting of social, legal, environmental, political, policy, regulatory, technological, economic and financial information, and combinations thereof;

populating said computer server with sentiment data selected from the group consisting of results of surveys, questionnaires, ballots, and combinations thereof;

applying a weighting value to said organizational and sentiment data;

calculating an index value;

calculating a baseline value for said index; and

disseminating said index value.

48. The method of claim 47, wherein said step of calculating a baseline value further comprises the step of:

converting said baseline value to an equivalent currency value.

49. A method for generating a computer-processed financial tradable index, said method comprising the steps of:

gathering organizational data;

gathering sentiment data;

tagging said sentiment data and said organizational data into a numerical valuation;

combining said organizational data and said sentiment data; and

computing a financial tradable index.

50. The method of claim 49, wherein said step of tagging said organizational data and said sentiment data further comprises the step of:

weighting words, descriptions, questionnaires, surveys, and combinations thereof in a computer system.