Freddie Mac

Federal Home Loan Mortgage Corporation (freddie Mac)

Federal Home Loan Mortgage Corporation

Other

Douglas Alexander McManus

Michael G Bradley

J Douglas Gordon

Pamela Williams Sims

Morgan C Snyder

Sol T Mumey

Mathew J Klena

James Douglas Gordon

A method, system, and non-transitory computer-readable storage medium are disclosed that determine a likelihood that an appraisal for a property is accurate. The method may include receiving borrower information and property information. The method may further including calculating, based on the received borrower information and property information, a score for the appraisal of the property, the score providing an indication of the accuracy of the appraisal. The method may further include establishing a plurality of ranges within which the score may fall, each of the ranges providing a relative indication of the accuracy of the appraisal. The method may further include analyzing the score to determine within which of the plurality of ranges the score falls. The method may further include determining, based on the analysis of within which range the score falls, whether to request further review of the appraisal.

Systems and methods for generating a model for home value scoring

A system and method for forecasting a price of a property in a first housing sub-market based on data related to a second housing sub-market are described. A price index is derived for the second housing sub-market, and an error correcting function is calculated for the first housing sub-market. A price index for the first housing sub-market is derived from the second sub-market price index and the error correcting function. An estimate of the price of the price of the property in the first housing sub-market is then provided. The estimate of the price can be used as the basis for an economic decision.

Method for forecasting housing prices using a dynamic error correction model

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.

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.

Systems and methods for retrospective home value scoring

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.

Systems and methods for home value scoring

System and method for providing automated value estimates of properties as of a specified previous time period

Method for forecasting house prices using a dynamic error correction model

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.

System and method for providing property value estimates

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.

Method for combining house price forecasts

Method and system for estimating real estate property values based on repeat sales model. The method estimates the price index using property value data from refinance transactions, as well as from purchase transactions. In so estimating, the method compensates for the transaction bias arising from using data from refinance transactions, which may exhibit incentive and selection biases. The property at issue may be estimated based on the so-computed price index. The price index and/or the bias component may be estimated using nonparametric functions.

Growing community of inventors

Bethesda, MD, United States of America

Douglas Alexander McManus