The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 28, 2009
Filed:
Jan. 17, 2002
Scott Aguais, Newmarket, CA;
Barry Belkin, Westchester, PA (US);
Victoria Farber, Richmond Hill, CA;
Lawrence R. Forest, Jr., McLean, VA (US);
Alexander Kreinin, Thornhill, CA;
Dan Rosen, Toronto, CA;
Steve Suchower, Malvern, PA (US);
Scott Aguais, Newmarket, CA;
Barry Belkin, Westchester, PA (US);
Victoria Farber, Richmond Hill, CA;
Lawrence R. Forest, Jr., McLean, VA (US);
Alexander Kreinin, Thornhill, CA;
Dan Rosen, Toronto, CA;
Steve Suchower, Malvern, PA (US);
Algorithmics International, Bridgetown, BB;
Abstract
The present invention relates generally to a system of components, comprising an integrated architecture, which supports calibration of financial models, and the structuring, pricing, mark-to-market valuation, simulation, risk management, and reporting of a variety of credit instruments subject to both credit and market risk (e.g., interest rate, foreign exchange risk). Detailed instrument complexities may be accommodated, by modeling the underlying economic behavior driving the exercise of embedded options and other structural features of credit instruments by implementing detailed economic behavioral models. In one aspect of the present invention, the system comprises a database for storing credit instrument data, a first calibration engine for generating calibration parameters from the credit instrument data, a second pricing engine adapted to calculate the net present values and valuation metrics for the credit instruments by modeling the underlying economic behavior driving the exercise of embedded options and other structural features of the credit instruments, a third engine for performing simulation-based computations, a fourth risk engine for computing risk and reward metrics, and a report generator for generating reports for use in managing risk.