Patents by Inventor William A. Nobili

William A. Nobili 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).

  • Patent number: 8447689
    Abstract: Aspects of the invention provide for the use of transactional data in determining credit and product offerings. Further aspects of the invention provide for generating financial statements and indices using transactional data for use by users and/or financial institutions. The transactional based financial statements and indices may be used for making underwriting and financial planning decisions.
    Type: Grant
    Filed: April 6, 2012
    Date of Patent: May 21, 2013
    Assignee: Bank of America Corporation
    Inventors: Debashis Ghosh, William A. Nobili, Arun R. Pinto, Kurt D. Newman, David N. Joffe, Sudeshna Banerjee, Marc Douglas Halsted
  • Patent number: 8271364
    Abstract: The tool of the invention is a data gathering and analytical process that uses internal customer data and external CRA data to build a consumer credit market data base and data structure. The internal customer data is classified according to identified Customer Attributes, the CRA data is also classified according to identified Consumer Attributes and the combined data is further classified according to additional Value Added Attributes. The resulting data structure is organized at the individual level such that each individual has associated therewith values for each of the Customer Attributes, Consumer Attributes and Value Added Attributes. The resulting analysis can be used to set institutional strategies and/or to make predictive decisions on individual borrower credit requests.
    Type: Grant
    Filed: June 9, 2005
    Date of Patent: September 18, 2012
    Assignee: Bank of America Corporation
    Inventors: William A. Nobili, Michael S. Bonn
  • Publication number: 20120084197
    Abstract: Aspects of this disclosure relate to a computer assisted method for managing credit risk which includes electronically receiving data regarding one or more credit quality standards, electronically receiving data regarding one or more policy limits or exception rate limits and electronically receiving data regarding one or more concentration limits. The method may further include using a computer to establish one or more predetermined delinquency guardrails which relate to a maximum desired potential Net Credit Losses (NCL) or a minimum desired potential return (e.g., Risk Adjusted Margin (RAM)) for particular aspects of an organization.
    Type: Application
    Filed: October 4, 2010
    Publication date: April 5, 2012
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: Frank PETRALITO, William A. NOBILI, Arun R. PINTO, John MIHM
  • Patent number: 7734539
    Abstract: Aspects of the invention provide for the use of transactional data in determining credit and product offerings. Further aspects of the invention provide for generating financial statements and indices using transactional data for use by users and/or financial institutions. The transactional based financial statements and indices may be used for making underwriting and financial planning decisions.
    Type: Grant
    Filed: April 25, 2007
    Date of Patent: June 8, 2010
    Assignee: Bank of America Corporation
    Inventors: Debashis Ghosh, William A. Nobili, Arun R. Pinto, Kurt D. Newman, David N. Joffe, Sudeshna Banerjee
  • Publication number: 20060282359
    Abstract: The tool of the invention is a data gathering and analytical process that uses internal customer data and external CRA data to build a consumer credit market data base and data structure. The internal customer data is classified according to identified Customer Attributes, the CRA data is also classified according to identified Consumer Attributes and the combined data is further classified according to additional Value Added Attributes. The resulting data structure is organized at the individual level such that each individual has associated therewith values for each of the Customer Attributes, Consumer Attributes and Value Added Attributes. The resulting analysis can be used to set institutional strategies and/or to make predictive decisions on individual borrower credit requests.
    Type: Application
    Filed: June 9, 2005
    Publication date: December 14, 2006
    Inventors: William Nobili, Michael Bonn