Fannie Mae

Other

Megan C Berry

Eric Rosenblatt

Felix G Meale

Yong Xin Chen

Jesse Staal

Nathan Pieter Den Herder

Alexei M Kisselev

David A Talbird

Adam Davis

Alford Paul Williams

WenXiong Yao

Angela Tseng

A system and method may aggregate into a data structure property information from multiple databases, e.g., from all records included in those databases, and upon selection of any subject property or a characteristic thereof curates the often imperfect and discrepant property information to create suggested values. Similarly, the system and method may perform an on-the-fly evaluation of any characteristic of a selected record, when the property information for that characteristic includes an unlikely value, by triggering from the data structure a dynamic extraction of property information corresponding to a subject property of the selected record, where the dynamic extraction further generates and compares a suggested value to the unlikely value.

Dynamic display of representative property information with interactive access to source data

An automated valuation model and corresponding analysis tool that graphically displays value history information in association with a subject property is disclosed. In one example, the tool generates a graph plotting the valuation history of a subject property over an adjustable time range in relation to a general price index for a pertinent geographical area. When looking at an appraisal for a property, the graph also supports selective plotting of appraiser-selected comparable properties' valuation histories against that of the subject property. The valuation history for comparable properties can be scaled on a pro-rata basis according to the percentage of the adjustments made within the appraisal. In addition, the graph selectively incorporates model-generated comparables and their valuation histories.

Automated valuation model with comparative value history information

Ranking and displaying comparable properties entails receiving appraisal information comprising a subject property and appraiser-chosen comparable properties corresponding to the subject property. Property data corresponding to a geographical area is accessed, in support of determining model-chosen comparable properties based upon the appropriateness of each of the comparable properties as comparables for the subject property. A map image is displayed for the geographical area, along with indicators on the map image indicative of the subject property, at least one of the appraiser-chosen comparable properties, and at least one of the model-chosen comparable properties.

Ranking and displaying appraiser-chosen comparables against model-chosen comparables

Automated valuation model with customizable neighborhood determination. A map image is displayed corresponding to a geographical area, and then user input accommodates definition of a particularly defined geographic area to provide custom identification of a neighborhood to be subject to automated valuation. Once the defined geographic area is established, the automated valuation model is applied to property data corresponding to properties within the defined geographic area. A subject property and corresponding properties within the defined geographic area are then displayed on a map image, preferably with articulation of the defined geographic area as the neighborhood of interest. The neighborhood may be defined by, among other criteria, inclusion within a user-defined shape, as well as exclusion of a user-defined shape from a displayed geographic area.

Automated valuation model with customizable neighborhood determination

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Rockville, MD, United States of America

Megan C Berry