Abstract: Systems and techniques for semantic graph database capture of industrial organization and market structure are described herein. Electronic market data may be obtained from an electronic data source. A set of entities and corresponding relationships may be extracted from the electronic market data. A property may be determined for each of the relationships. A market graph data structure may be generated using the set of entities. A search query may be received including an identifier of a member of the set of entities. A market graphic may be generated based on a node corresponding to the identifier and a set of edges corresponding to the node. The market graphic may be output in a computer-readable format.

Abstract: Systems and techniques for semantic graph database capture of industrial organization and market structure are described herein. Electronic market data may be obtained from an electronic data source. A set of entities and corresponding relationships may be extracted from the electronic market data. A property may be determined for each of the relationships. A market graph data structure may be generated using the set of entities. A search query may be received including an identifier of a member of the set of entities. A market graphic may be generated based on a node corresponding to the identifier and a set of edges corresponding to the node. The market graphic may be output in a computer-readable format.

Abstract: A method of estimating credit risk associated with a financial asset includes receiving data regarding the asset and corresponding to a first date; determining a parameter using received data and the amount of time between the first date and a second date, the parameter being based on a predetermined estimate of the predictive value of received data with regard to a possible adverse event associated with the asset on the second date; and determining a probability of the adverse event as a function of the parameter. A system for estimating credit risk associated with a financial asset includes memory configured to store received data regarding the asset and a processor coupled to the memory and operable to execute programmed instructions, wherein the programmed instructions are configured to determine the parameter and the probability of the adverse event as a function of the parameter.

Abstract: A method and system for evaluating loan repurchase risk are disclosed. The method includes receiving information related to the loan and determining a loan repurchase risk based on the information. The information may be used to determine a joint probability of an underwriting discrepancy sufficient to trigger a repurchase request and an adverse event in connection with the loan, such as default or delinquency. A repurchase report may provide feedback regarding factors contributing to a repurchase risk. In one embodiment, depending on the repurchase risk, the purchaser may waive repurchase rights in connection with the loan, thereby reducing the requirements of the seller to reserve capital for the loan.

Abstract: A method and system for evaluating loan repurchase risk are disclosed. The method includes receiving information related to the loan and determining a loan repurchase risk based on upon the information. The information may be used to determine a joint probability of an underwriting discrepancy sufficient to trigger a repurchase request and an adverse event in connection with the loan, such as default or delinquency. In one embodiment, depending on the repurchase risk, the purchaser may waive repurchase rights in connection with the loan, thereby reducing the requirements of the seller to reserve capital for the loan.