Michael B Kane

US Patent:

7702580, Apr 20, 2010

Filed:

Dec 26, 2002

Appl. No.:

10/329878

Inventors:

David N. Voth - Oakton VA, US
Peter A. Simon - Washington DC, US
Richard N. Plotnick - McLean VA, US
Scott Youngman - Fairfax VA, US
Patricia D. Fulcher - Clinton MD, US
Neiman Alvarez - Washington DC, US
Andrew Huffman - Vienna VA, US
Anne Harrell - Arlington VA, US
George Saad - Potomac Falls VA, US
Michael J. Kane - Arlington VA, US

Assignee:

Fannie Mae - Washington DC

International Classification:

G06Q 40/00

US Classification:

705 40, 705 35, 705 37, 705 38, 705 36, 705 39

Abstract:

Systems and methods for optimizing servicing fees for a set of loans are disclosed. A system for optimizing servicing fees for a set of loans may include a processing unit and a storage device coupled to the processing unit having stored therein information for configuring the processing unit to obtain a minimum servicing fee and a maximum servicing fee, identify net benefits of increasing servicing fees for the loans in the set of loans, and iteratively adjust the servicing fee until the optimal servicing fee is attained.

US Patent:

20170011457, Jan 12, 2017

Filed:

Jul 9, 2015

Appl. No.:

14/795470

Inventors:

- Washington DC, US
Xiaoming Zhou - Washington DC, US
Michael Kane - Washington DC, US
Ming H. Chow - Washington DC, US
Xiaoqiang Hu - Washington DC, US
Andrew P. Varrieur - Washington DC, US

Assignee:

Federal Housing Finance Agency - Washington DC

International Classification:

G06Q 40/02
G06F 17/30
G06Q 50/16

Abstract:

A data analytics platform system includes a first database including economic forecast, house pricing, unemployment, and interest rate data object structures. A second database includes data object structures associated with attributes of mortgage loans and borrowers. A first module performs projections for predicting a monthly status on performing and modified performing mortgage loans. A second module performs projections of lifetime outcomes for delinquent mortgage loans. A third module performs calculations of mortgage loan level credit losses and timing parameters of loan loss recognition attributes. A fourth module performs calculations of forecasted mortgage loan performance attributes, mortgage loan contract terms, and interest rates to generate mortgage loan level cash flow data analytics. A fifth module summarizes projections of data performance analytics over a forecasted period of time, and creates an electronic summary report of the projections. An electric signal generator, a signal converter, and a display device output the electronic report.