Integrated trading and information system for collection and dissemination of valuation data

• US 20080288419A1
• Filed: 05/16/2008
• Published: 11/20/2008
• Est. Priority Date: 05/18/2007
• Status: Abandoned Application

• Current Assignee: Globalprivatequity.com Incorporated
• Original Assignee: Globalprivatequity.com Incorporated
• Inventors: Ginder, Jacob, Miles, Douglas
• Application Number:
  US12/153,311
• Publication Number:
  US 20080288419A1
• Time in Patent Office: Days
• US Class Current: 705/36R
• 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

Systems and methods are provided for a financial trading information processing and transmission system representing: (a) a financial business intelligence system (FBIS) which aggregates observable market inputs along with valuation algorithms or pricing models to generate synthetic or theoretical ‘fair values’ or prices (aka Level 2 prices as defined by the FAS 157, effective Nov. 15, 2007 or other measures of fair values); (b) a multilateral counterparty trade module, an auction module, a risk metric and analytical tool module, and optionally a derivative tracking module; or (c) a central data base of Level 2 or other desired price information used to provide bid and offer market intelligence at the point of trading or preparing to trade on any electronic system for specific assets or markets, which may not be actively yielding Level 2 or other desired price information or actual trades.

Claims

1. A system for automated trading comprising:

a processor coupled to a memory, the memory comprising computer-program instructions executable by the processor, the computer-program instructions, when executed by the processor, for performing operations of;

facilitating communications between one or more bidders and one or more offerors regarding one or more transactions for an asset,

facilitating communications between the one or more bidders and the one or more offerors regarding one or more auction deals for the asset,

price value indications for the asset, and

providing additional information regarding the asset through risk metrics and analytical tools, wherein the risk metrics and analytical tools accept input regarding a desired model and compute an output recommendation through one or more algorithms to assist in review of the asset.

2. The system of claim 1, further comprising monitoring the one or more transactions.

3. The system of claim 1, wherein the one or more transactions are simulated.

4. The system of claim 1, wherein the one or more auction deals are simulated.

5. The system of claim 1, wherein the price value indications are a synthetic fair value for the asset.

6. The system of claim 5, wherein the risk metric and analytical tool module provides a comparison of the synthetic fair value for the asset and actual trade values for the asset.

7. The system of claim 1, wherein the system communicates with one or more outside information sources via a network.

8. The system of claim 1, wherein the one or more outside information sources are selected from the group consisting of global asset managers, global investment banks, global investment dealers, institutional investors, institutional fund managers, and combinations thereof.

9. The system of claim 1, wherein the one or more bidders may withdraw or modify a bid prior to acceptance by the one or more sellers.

10. The system of claim 1, wherein the one or more bidders may withdraw or modify an offer prior to acceptance by the one or more buyers.

11. The system of claim 1, wherein an identity of the one or more bidders is confidential from the one or more sellers.

12. A method for determining a synthetic fair value comprising:

aggregating one or more inputs corresponding to an asset type from one or more external databases of financial information,

processing the one or more inputs corresponding to the asset type with one or more synthetic fair value models,

generating a synthetic fair value for the asset type from the one or more synthetic fair values, and

storing the synthetic fair value in a central database for dissemination to a user desiring the synthetic value for the asset type.

13. The method of claim 12, wherein the one or more inputs are observable market data.

14. The method of claim 12, wherein the asset type is selected from the group consisting of, unregistered securities, exempt securities, indices, derivatives, contracts, unlisted products, and combinations thereof.

15. The method of claim 12, wherein the synthetic fair value models are valuation algorithms or pricing models.

16. The method of claim 12, wherein the synthetic fair value models are selected from the group consisting of qualitative and quantitative-based judgments, observable market data algorithms, variable, and combinations thereof.

17. The method of claim 12, wherein the synthetic fair value is a Level 2 price as defined by the Financial Accounting Standards Board Rule 157, effective Nov. 15, 2007.

18. The method of claim 17, wherein the synthetic fair value is associated with a date and time of the generating of the synthetic fair value.

19. A system for providing a synthetic fair value comprising:

a central database comprising one or more synthetic fair values corresponding to one or more asset types,

wherein the one or more synthetic fair values are used to provide bid and offer market intelligence in response to an inquiry during trading or prior to trading on an automated trading system for the one or more asset types,

wherein the trading on the one or more asset types is not actively yielding actual trade information, and

wherein the synthetic fair value enables asset price discovery at the time and date of the inquiry.

20. The system of claim 19, wherein the synthetic fair value is a Level 2 price as defined by the Financial Accounting Standards Board Rule 157, effective Nov. 15, 2007.