Patents by Inventor Jeff Eder

Jeff Eder has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20070239581
    Abstract: A data processing framework for financial services that supports the automated development and delivery of financial service products to a plurality of customers.
    Type: Application
    Filed: April 2, 2006
    Publication date: October 11, 2007
    Inventor: Jeff Eder
  • Publication number: 20060184449
    Abstract: A method and system (100) for identifying, measuring and managing the risk associated with a portfolio of securities.
    Type: Application
    Filed: April 1, 2006
    Publication date: August 17, 2006
    Inventor: Jeff Eder
  • Publication number: 20060184570
    Abstract: An automated method and system (100) for the development and delivery of value impact risk transfer products and programs.
    Type: Application
    Filed: April 1, 2006
    Publication date: August 17, 2006
    Inventor: Jeff Eder
  • Publication number: 20060184473
    Abstract: A system (100), method and media for an entity centric computer that develops, entity context by layer before analyzing, applying, distributing, maintaining, replicating and/or synchronizing the knowledge developed using said context as required and/or requested.
    Type: Application
    Filed: April 8, 2006
    Publication date: August 17, 2006
    Inventor: Jeff Eder
  • Publication number: 20050251468
    Abstract: An automated method and system (100) for enhancing the operational effectiveness and optimizing the tangible financial impact of one or more enterprise processes on a continual basis.
    Type: Application
    Filed: June 27, 2005
    Publication date: November 10, 2005
    Inventor: Jeff Eder
  • Publication number: 20050144106
    Abstract: An automated system (100) and methods for defining and measuring the real options of a commercial enterprise on a specified valuation date. The real options are evaluated on the basis of the relative strength of the elements of value of the enterprise. The performance of the elements of value are first summarized using composite variables. The elements strength of the cause change in enterprise stock price are then determined. The relative strength of the causal elements of value for the enterprise vis a vis its competitors are then calculated. The relative ranking of the enterprise causal elements of value is then used in determining the discount rate to be used in real option valuation. The real options are then valued.
    Type: Application
    Filed: May 20, 2003
    Publication date: June 30, 2005
    Inventor: Jeff Eder
  • Publication number: 20050119922
    Abstract: An automated system (100) and method for analyzing, modeling and valuing elements of a business enterprise on a specified valuation date. The performance of the elements are analyzed using search algorithms and induction algorithms to determine the value drivers associated with each element. The induction algorithms are also used to create composite variables that relate element performance to enterprise revenue, expenses and changes in capital. Predictive models are then used to determine the correlation between the value drivers and the enterprise revenue, expenses and changes in capital. The correlation percentages for each value driver are then multiplied by capitalized value of future revenue, expenses and changes in capital, the resulting numbers for each value driver associated with each element are then added together to calculate a value for each element.
    Type: Application
    Filed: October 29, 2002
    Publication date: June 2, 2005
    Inventor: Jeff Eder
  • Publication number: 20050119900
    Abstract: An automated system (100) and method for optimizing purchasing activity from the perspective of the buyer. The purchasing activity features and resources are defined using purchasing system data. The suppliers and deliverables are then mapped to one or more frames within the Market Value Matrix™ System for the Buyer. The system then identifies the mix of features and resources that maximize the expected value from purchasing activity from the different Buyer frames.
    Type: Application
    Filed: June 12, 2002
    Publication date: June 2, 2005
    Inventor: Jeff Eder
  • Publication number: 20050071266
    Abstract: A method of and system for creating an organization risk matrix and an organization value matrix and using said matrices to support the optimization of one or more aspects of organization risk and value.
    Type: Application
    Filed: December 29, 2003
    Publication date: March 31, 2005
    Inventor: Jeff Eder
  • Patent number: 6393406
    Abstract: An automated system and method for measuring the performance of elements of a business enterprise and for valuing said elements on a specified valuation date. The performance of the elements are calculated using composite variables. Predictive models are then used to determine the correlation between the element performance and the enterprise value drivers, revenue, expenses and changes in capital. The element correlation percentages are then multiplied by capitalized value of future revenue, expenses and changes in capital, the three resulting numbers are then added together to calculate a value for each element. Finally, the relationship between the market value of the business and the calculated business value is optionally calculated for use in forecasting future equity prices.
    Type: Grant
    Filed: January 6, 1997
    Date of Patent: May 21, 2002
    Assignee: Value Mines, Inc.
    Inventor: Jeff Eder
  • Patent number: 6321205
    Abstract: An automated system (100) and method for evaluating the probable impact of user-specified or system generated changes in business value drivers on the other value drivers, the financial performance and the future value of a commercial enterprise. Value drivers are identified using search algorithms and induction algorithms that define the value drivers associated with each element of the enterprise. After identifying enterprise value drivers the system completes a detailed valuation of the firm using predictive models to determine the relative impact of each value driver on the overall valuation. The detailed valuation results are then used to define a financial simulation model such as a Markov Chain Monte Carlo model. The financial simulation model then analyzes the impact of user specified changes in value drivers on financial performance or generates a list of recommended changes to value drivers that achieve a user specified financial goal.
    Type: Grant
    Filed: August 17, 1998
    Date of Patent: November 20, 2001
    Assignee: Value Miner, Inc.
    Inventor: Jeff Eder
  • Patent number: 5615109
    Abstract: In a computer based inventory control method and system, feasible profit maximizing sets of requisitions are created. System processing starts with the creation of detailed, multi-dimensional forecasts of sales and cash receipts using stored algorithms and data preferentially extracted from a basic financial system and the adjustment of the forecasts to match the controlling forecast specified by the user. The adjustment of the forecasts is facilitated by the use of a calculated variable that defines the magnitude of the relative adjustment for each forecast element. All forecasts are adjusted to exactly match a controlling forecast which is either a multivalent combination of the previously generated forecasts or the user specified controlling forecast. The adjusted forecast of sales by item is then used in calculating a requisition set that satisfies expected demand while meeting user specified service level targets.
    Type: Grant
    Filed: May 24, 1995
    Date of Patent: March 25, 1997
    Inventor: Jeff Eder