Abstract: A property complexity scoring device includes an interface and a computer processor that is programmed to receive location information of a target property via the interface. The computer processor also receives respective property values of the target property from each of a plurality of Automated Valuation Models (AVMs) via the interface and calculates a complexity score based on a combination of the received property values. The complexity score is in one of a plurality of complexity score levels and indicates a difficulty level in determining a property value estimate of the target property. Another approach uses a reconciliation of a plurality of scoring processes to arrive at a complexity score.

Abstract: A short sale monitoring system, method and computer program product assist in identifying potential fraudulent activity associated with short sale real estate transactions. A processing circuit receives property identification information for a property, a short sale notification regarding a short sale of the property, and a short sale price. The processing circuit then queries a database of loan records to identify a corresponding loan application for the property. The loan application is at least one of a pending loan application and a closed loan application for the property. The processing circuit then generates a notice when (1) the short sale price is less than a predetermined amount with respect to a price included in the loan application, and (2) a date of the loan application is within a predetermined time of a closing date of the short sale.

Abstract: Computer-based processes are disclosed for efficiently mining and analyzing information associated with particular mortgage loans, borrowers and properties. The disclosed processes use property-related data aggregated from multiple sources and jurisdictions to, among other tasks, identify properties owned by an individual.

Abstract: Embodiments include systems and methods of detecting fraud. In particular, one embodiment includes a system and method of detecting fraud in mortgage applications. For example, one embodiment includes a computerized method of detecting fraud that includes receiving mortgage data associated with an applicant and at least one entity related to processing of the mortgage data, determining a first score for the mortgage data based at least partly on a first model that is based on data from a plurality of historical mortgage transactions associated with the entity, and generating data indicative of fraud based at least partly on the first score. Other embodiments include systems and method of generating models for use in fraud detection systems.

Abstract: A method and apparatus for real time testing of automated valuation using various indicators of accuracy. These indicators are then weighted according to their value as indicators of accuracy using individualized weighting factors or an equation. A ranking is then computed based upon the factors and their weights. This method is preformed continuously, so as to achieve real-time or periodically updated automated valuation model accuracy rankings.

Abstract: Disclosed herein are methods and systems for detecting a risk of payment default. In various embodiments, the systems/methods receive mortgage data associated with a mortgage application of an applicant, generate one or more models based on data related to historical mortgage transactions and determine a payment default risk score based at least partly on the one or more generated models, the mortgage data associated with the mortgage application, and the credit data related to the applicant. In another embodiment, a system is disclosed for selecting mortgage applications for further fraud evaluation based on the determined risks of early payment default associated with the mortgage applications and performing the fraud evaluation on those selected mortgage applications.

Abstract: A system for monitoring a title insurance policy including a processor and a memory in communication with the processor is disclosed. The system includes computer readable logic stored on the memory and executable on the processor.

Abstract: The present disclosure discloses a method, computer program product, device, and system for creating an electronic appraisal form with auditing capabilities. The device includes a display, a data input module, a location detection module which detects a geographic position, a communications interface which communicates with a real estate database, and retrieves real estate data for a property located at the geographic position detected by the location detection module. The device further includes a processor which creates an electronic appraisal template including a plurality of data fields, the plurality of data fields being automatically populated based on the received real estate data for the property located at the geographic position, and an audit tracking module which maintains a record of data initially presented for inclusion in an appraisal report, but ultimately excluded from the appraisal report.

Abstract: Disclosed herein are methods and systems for detecting a risk of payment default. In various embodiments, the systems/methods receive mortgage data associated with a mortgage application of an applicant, generate one or more models based on data related to historical mortgage transactions and determine a payment default risk score based at least partly on the one or more generated models, the mortgage data associated with the mortgage application, and the credit data related to the applicant. In another embodiment, a system is disclosed for selecting mortgage applications for further fraud evaluation based on the determined risks of early payment default associated with the mortgage applications and performing the fraud evaluation on those selected mortgage applications.

Abstract: A system for monitoring a title insurance policy is disclosed. The system includes a processor, a memory in communication with the processor, and a database in communication with the processor and the memory, the database configured to store a plurality of property records. The system further includes computer readable logic stored on the memory and executable on the processor, the computer readable logic configured to receive a title record associated with the title insurance property, compare the received title record with each of the plurality of property records stored by the database, match a property record of interest from each of the plurality of property records, and report a status indicator for the title insurance policy.

Abstract: A method and apparatus for real time testing of automated valuation models using various indicators of accuracy. These indicators are then weighted according to their value as indicators of accuracy using individualized weighting factors or an equation. A ranking is then computed based upon the factors and their weights. This method is preformed continuously, so as to achieve real-time or periodically updated automated valuation model accuracy rankings.

Abstract: A method for detecting a risk of payment default comprises receiving mortgage data associated with a mortgage application, the mortgage application associated with an applicant, determining a first score for the mortgage data based at least partly on one or more models that are based on data from a plurality of historical mortgage transactions and based on historical credit information related to the applicant, and generating data indicative of a risk of payment default based at least partly on the first score.

Abstract: A method and apparatus are described where account information is used to predict possible outcomes of a HELOC. To predict the possible outcomes, HELOC account state transition probabilities are modeled. The transition probabilities, determined by historic data regression analysis, provide the framework for a Monte Carlo simulation. The simulation is seeded with HELOC account information. A calculation engine takes the account information and simulates an elapse of time using a random number generator and the state transition probabilities. The simulation results in updated account information predicting a possible outcome over the elapsed time interval. The updated account information in turn may be used by the calculation engine to simulate the next elapse of time. This method may be iteratively repeated with the account information propagated forward until the end of the prediction period is reached.

Abstract: A computer-based method of monitoring for and reporting of a lien distress event relatable to a lien against a property includes the steps of extracting loan data from a client loan portfolio, defining the lien distress event relatable to the loan data by using one or more lien distress event criterion, detecting an occurrence of the lien distress event iteratively, and notifying a client of the occurrence of the lien distress event.

Abstract: A system and method for retrieving a transaction associated with a property including obtaining property information pertaining to a property from a third party source, storing the property information in a database, receiving a name to monitor or an address of a property to monitor, and transmitting a property information request including the name and/or address to the database. The system and method may also include searching the property information for a match with the name or address, identifying a transaction associated with the matched name or address and transmitting the transaction to a device.

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 system and method for retrieving a transaction associated with a property including obtaining property information pertaining to a property fl-om a third party source, storing the property information in a database, receiving a name to monitor or an address of a property to monitor, and transmitting a property information request including the name and/or address to the database. The system and method may also include searching the property information for a match with the name or address, identifying a transaction associated with the matched name or address and transmitting the transaction to a device.

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.