SYSTEM AND METHOD FOR TRACKING AND ANALYZING LOANS INVOLVED IN ASSET-BACKED SECURITIES
First Claim
1. A computerized system for analyzing loans involved in asset-backed securities and aspects of the asset-backed securities, comprising:
- a credit migration database that stores consumer credit and financial data;
a data repository that assigns a securitization identifier (ID) to a loan and associates the securitization ID to a credit data record in the credit migration database that is associated with a borrower of the loan;
a tracking and analysis module configured to operate on the computerized system that, upon request, analyzes one or more loans by using the respective loan securitization IDs to;
retrieve the credit data records of the borrowers of the loans from the credit migration database before, during, or after a process in which the loans are securitized as asset-backed securities;
calculate a loan default risk or a prepayment risk based on payment records and account tradeline information within the credit data records that are associated with the borrowers; and
store the loan default risk or the prepayment risk in the data repository; and
a portal interface through which authorized users can access at least the loan default risk or the prepayment risk stored in the data repository, wherein the portal interface is configured to provide data or analytics to the authorized users via one or more network connections,wherein the tracking and anal sis module is further configured to;
calculate models predictive of the performance of the asset-backed securities; and
store, in the data repository, models predictive of the performance of the asset-backed securities.
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Accused Products
Abstract
Embodiments of the disclosure are directed to providing unique loan identifiers to track loans involved in Asset-Backed Securities (ABS) throughout the life-cycle of the individual loans, in one embodiment, a unique loan identifier, for example, a loan number, may be appended to loan data at initiation of each loan, for example, at the application stage, to and/or beyond the retirement of the loan. The unique loan identifiers may allow disparate financial data sources such as the credit histories of the borrowers to be associated with the individual loans, even as the loans are repackaged and resold as ABS in the secondary markets. Thus, market participants such as loan servicers and investors can access current and historical data associated with the loans. Other embodiments are directed to analyzing the data associated with the underlying loans and providing the analysis to the market participants including servicers, investors, and underwriters.
155 Citations
77 Claims
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1. A computerized system for analyzing loans involved in asset-backed securities and aspects of the asset-backed securities, comprising:
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a credit migration database that stores consumer credit and financial data; a data repository that assigns a securitization identifier (ID) to a loan and associates the securitization ID to a credit data record in the credit migration database that is associated with a borrower of the loan; a tracking and analysis module configured to operate on the computerized system that, upon request, analyzes one or more loans by using the respective loan securitization IDs to; retrieve the credit data records of the borrowers of the loans from the credit migration database before, during, or after a process in which the loans are securitized as asset-backed securities; calculate a loan default risk or a prepayment risk based on payment records and account tradeline information within the credit data records that are associated with the borrowers; and store the loan default risk or the prepayment risk in the data repository; and a portal interface through which authorized users can access at least the loan default risk or the prepayment risk stored in the data repository, wherein the portal interface is configured to provide data or analytics to the authorized users via one or more network connections, wherein the tracking and anal sis module is further configured to; calculate models predictive of the performance of the asset-backed securities; and store, in the data repository, models predictive of the performance of the asset-backed securities. - View Dependent Claims (2, 3, 5, 7, 8, 10, 11, 22, 46, 53)
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23. A method of analyzing performance of loans, leases, and financial obligations based in part on borrower credit profiles and profiles of participants involved in asset-backed securities, comprising:
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assigning a unique loan identifier to each of a plurality of loans; associating one or more borrower credit data records with each of the loan identifiers; using the loan identifiers to retrieve the credit data records of the respective borrowers of the plurality of loans; analyzing the loans based on the retrieved credit data records of the borrowers, wherein the method is executed on a computing system; performing the retrieving periodically at specified time intervals; recording the retrieved credit data records; and comparing the credit data records retrieved from different time periods to determine a trend in the collective performance of the plurality of loans. - View Dependent Claims (27, 28, 29, 31, 33, 35, 36)
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72. A computerized system for analyzing loans involved in asset-backed securities and aspects of the asset-backed securities, comprising:
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a credit database that stores consumer credit and financial data; a data repository that assigns a securitization identifier to a loan and associates the securitization identifier to a credit data record in the credit migration database that is associated with a borrower of the loan; a tracking and analysis module configured to operate on the computerized system that periodically analyzes one or more loans by using the respective loan securitization identifiers by; retrieving the credit data records of the borrowers of the loans from the credit database before, during, or after a process in which the loans are securitized as asset-backed securities; for one or more of the borrowers, calculating a propensity to repay one or more of the loans based on payment records and account tradeline information within the credit data records that are associated with an individual borrower; for one or more of the borrowers, calculating a capacity to repay one or more of the loans based on income data associated with the individual borrower from an income database; for one or more of the borrowers, calculating an ability to repay one or more of the loans based on collateral data from a collateral database; and storing the calculated propensity to repay, the calculated capacity to repay, or the calculated ability to repay, in the data repository; and an output module that provides authorized users data or analytics based on one or more of the propensity to repay, the capacity to repay, or the ability to repay. - View Dependent Claims (73, 74, 75, 76, 77)
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Specification