Abstract: Systems and methods are provided for providing an indication that an appraisal value for a property is likely to be faulty using a model. In one embodiment, a method includes receiving information representative of at least one of a borrower, a property, or one or more demographics; receiving the appraisal value of the property; and determining a score based on the received information, received appraisal, and the model, such that the score provides the indication of the likelihood that the appraisal value for the property is faulty.

Abstract: Systems and methods consistent with the present invention generate a model for providing one or more scores indicating a likelihood that a stated income is faulty. In one embodiment, the method includes, for example, receiving information representative of at least one borrower; receiving a first income value for the at least one borrower; and receiving a second value for the at least one borrower, such that the second income value verifies the first income value. Moreover, the method includes determining one or more parameters for the model based on the received information, the received first income value, and the received second income value, such that the one or more parameters enable the model to provide the one or more scores.

Abstract: Systems and methods are provided for providing, based on a model, an indication that an appraisal value for a property is likely to be faulty. In one embodiment, a method includes receiving information representative of at least one of a borrower, a property, or one or more demographics, such that the received information corresponds to a date. The method determines a score based on the received information and the model, such that the score provides the indication of the likelihood that the appraisal value was faulty on the date.

Abstract: Systems and methods are provided for determining an indication that an application for a mortgage loan to secure a property may result in closing of the loan transaction. In one embodiment, a method includes receiving application information, such that the application information includes at least borrower information, property information, and a first interest rate; receiving home value information, such that the home value information represents an estimated value of the property; receiving a second interest rate; and determining the indication based on the received application information, received home value information, and received second interest rate, such that the indication represents a likelihood that the mortgage loan may result in closing.

Abstract: Systems and methods consistent with the present invention provide a score indicating that a stated income is likely to be faulty. In one embodiment, a method includes receiving information representative of the stated income and determining the score based on the received information and a model, such that the score indicates a likelihood that the stated income is faulty.

Abstract: Systems and methods are provided for generating a model for providing one or more scores indicating a likelihood that an appraisal value is faulty. In one embodiment, a method includes receiving information representative of at least one of a borrower, a property, or one or more demographics; receiving a first appraisal value of the property; receiving a second appraisal value of the property, such that the second appraisal verifies the first appraisal; and determining one or more parameters for the model based on the received information, the received first appraisal value, and the received second appraisal value, such that the one or more parameters enable the model to provide the one or more scores.

Abstract: A system preprocesses property value estimates based on stored property data. It stores the computed property value estimates in a forecast data repository. The system obtains updates or new property data and computes new estimates according to a predetermined schedule. Users can instantaneously obtain property value estimates that have been preprocessed, thus eliminating a long wait period necessary for on-line processing.

Abstract: A system computes a plurality of estimates of a real estate entity based on various types and numbers of predictive models. It also selects a limited number of best estimates to be combined. Finally, the system weights each selected estimate according to the calculated precision of that estimate and combines the weighted estimates into a combined weighted estimate.