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The analytics contributed to the McDash database by FIS Applied Analytics deliver improved insight into portfolio performance. We are a long-term user of McDash and FIS Applied Analytics. Inserting the FIS analytics into the McDash benchmarking tools conveniently improves the value of both products.

Narin Seera
Senior Vice President of Risk Management
First Horizon - Home Loans

FIS Prepayment ScoreTM

To realize the opportunity associated with understanding prepayments at the loan level, Fidelity National Information Services, Inc.’s (FIS) Applied Analytics has created Prepayment Score, a modifier to its standard model. FIS Prepaypment Score is based on detailed loan origination data. Higher-scoring loans will always prepay more quickly than lower-scoring loans with the same coupon, age and type.

FIS Prepayment Score was created using loan-level data and prepayment histories obtained from various lenders and servicing data aggregators. The score considers the effects of loan-level variables on a borrower’s relative propensity to prepay. The variables include the original loan amount, the loan-to-value ratio, the geographic location, the purpose of the loan and borrower credit. The score expresses the combined effect of all of these variables on the propensity to prepay.

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Call us at 415.989.9800 or send us an e-mail to find out more about FIS Applied Analytics and how we can add the power of data analytics to your portfolio.