Webinars FIS Applied Analytics is pleased to announce the integration of its Default Model and Prepayment Scoring products into Polypaths' fixed income analytic system. These additions, combined with the existing integration of FIS Applied Analytics’s Prepayment Models, considerably expand PolyPaths capabilities in the mortgage- backed arena. FIS Applied Analytics Default Model The FIS Applied Analytics Default Model is a transition-based model which generates transitions from any of the following delinquency states – 30 days delinquent, 60, 90+, default, liquidation, prepayment – into any other state not logically prohibited. The default model calculates the fraction of the population projected to be in each of the states (0, 30, 60, 90+, default) then projects the transition rates into liquidation and prepayments. The model also calculates loss severity for loans entering liquidation. PolyPaths uses the model’s projections to modify cash-flows for loans and CMOs. Default Model Integration The FIS Applied Analytics Default Model is integrated with and requires specific output from the FIS Applied Analytics Prepayment Model. In addition, it requires a projection of interest rates and a forward projection of the HPI (home price appreciation index) at the MSA (metropolitan statistical area) level. The interest rates projection is generated by PolyPaths; FIS Applied Analytics generates the HPI projections. Options for HPI include specifying a single set of MSA level HPI projections via a flat file or having FIS Applied Analytics generate a random set consistent with historically based correlations. Using the FIS Applied Analytics Default Model for CMOs requires additional loan-level data for each CMO analyzed. This is required because INTEX does not provide sufficient details about the loans backing a CMO such as MSA, FICO, LTV, etc. FIS Applied Analytics provides these data extracts from its proprietary non-agency CMO loan database. The database covers about 80% of outstanding CMOs. If FIS Applied Analytics does not have data for the loans that back a particular CMO, a program that creates the needed extract from the user’s own files is available. FIS Applied Analytics Prepayment SCORE The FIS Applied Analytics SCORE is a measure given to a mortgage that represents its propensity to prepay relative to other assets of the same type, coupon and age. A SCORE modifies prepayment projections to increase accuracy. Likewise, a SCORE works like a “rating” – automatically indicating how a loan/pool will perform for prepayments relative to its peers. A SCORE reflects the combined influence of a number of loan indicatives – such as original loan amount, LTV, loan purpose, property type, geography and borrower’s credit rating – on the asset’s tendency toward prepayment. Prepayment SCORE Integration Utilizing the FIS Applied Analytics SCORE with PolyPaths is simple and applies to both agency and non-agency collateral via these processes:
For further details please visit www.aftgo.com or call 415-989-9800. AFT will also be hosting free webinars on the Prepayment SCORE and Default Model beginning December 6th. Please visit: www.aftgo.com/webinars for registration details.
Related Links» Strategic Alliances» Durations Newsletter » Loan Score Provides Improved Understanding of Mortgage Prepayments |



