Abstract: A method and apparatus for ranking automated valuation model valuations. The method and apparatus involves a multi-step process and means for completing this process for calculating an automated valuation model score and then ranking the automated valuation models for precision based upon the results of this calculation.

Abstract: A computer-based method of updating a client loan portfolio with information on secondary liens relatable to portfolio properties includes inputting property data from the portfolio, monitoring a secondary lien database for secondary liens relatable to the property data, and notifying the client if a secondary lien is detected. Notifying the client may include generating a secondary lien report containing an AVM score or a CLTV ratio, and updating the portfolio by generating a new version of the portfolio that includes secondary liens detected during monitoring. A system may include a client station for inputting data for monitoring, an FTP server for uploading the data from the client station, and a mainframe server for standardizing the data, searching databases for secondary liens, calculating the AVM score and CLTV ratio, and generating the secondary lien report for delivery to the client station via the FTP server.

Abstract: A method and apparatus for calculating individual or collective safe scores for properties with loans. These safe scores are useful in comparing the risk of loss due to exposure in the case of a default on the loan or loans being evaluated and may be used to objectively compare individual loans or groups of loans for such risk and for the worthiness for refinancing or additional lending.

Abstract: A method and apparatus for deriving Sigmas or forecast standard deviations for valuations of properties valued by an automated valuation model without reference to the underlying mathematical architecture and without reference to a particular data structure of the automated valuation model and for providing right-tail and responsive confidence scores consistent with these Sigmas for each property valued by an automated valuation model.

Abstract: A method and apparatus for valuing every property in a predetermined geographic region at regular intervals and storing those valuations for ready access later in a layered data stratum, using customary sources of property valuation data to create a new layers of the data stratum and using the data stored in the one or more layers of the data stratum for the creation of tables, spreadsheets and maps for evaluations of changes and trends in property valuation.

Abstract: A method of computing a confidence score in response to a suggested valuation of a property such as a home or townhouse, using a computer system. A customer identifies a property and suggests its valuation to the computer system. Using an automated valuation model, the computer system computes an automated valuation of the property and an automated confidence score in that valuation. The computer system also computes a percentage difference between the automated valuation and the suggested valuation. With this difference and with the automated confidence score, the computer system consults a reference table from which it retrieves a responsive confidence score which is then reported to the customer. The computer system prepares the reference table using an algorithm based on an automated valuation model and historical sale price data.

Abstract: A method of detection of fraud in a mortgage application: in a computer system, maintaining a database of sales prices of real properties in a geographic area where the property is located; obtaining a valuation history for the property; obtaining historical sales data for similar properties in the geographic area; computing price ratios using these valuation histories; computing a distortion index based on the price ratios, the distortion index indicating the likelihood of a fraudulent valuation.