Regional Prepayment Patterns

Prepayment behavior can vary meaningfully by metro area due to local housing dynamics, income levels, and tax regimes. Coastal markets often show higher speed averages for younger loans due to higher turnover and refinancing incentives, while inland markets may exhibit steadier repayment patterns. These differences persist even after controlling for loan age and FICO—suggesting structural or demographic influences.

Loan age is a stronger predictor than geography alone, but combining both reveals nuanced regional behaviors. For example, in Sun Belt metros, prepayment speeds may peak earlier and decline more steeply as loans age due to shorter borrower residency durations, whereas traditional Midwest or Northeast markets might show slower burn-off of speed. Analysts use this to calibrate regional exit models for servicer-advantage tranches.

When evaluating regional exposure in a pooled security, knowing where underlying loans reside helps estimate option-adjusted spread sensitivity. A portfolio heavy in Florida loans might exhibit more volatile speed behavior than one centered in Pennsylvania—especially around hurricane season or tax filing windows. Historical averages anchor assumptions without assuming future consistency.