Looking for real-world examples of predictive analytics in mortgage lending [D]

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I'm researching predictive analytics for a graduate project and mortgage lending came up as an interesting use case.

I understand lenders try to predict who might refinance, but what kinds of variables are actually useful?

Is it mostly credit activity, property appreciation, interest rates, life events, or something else?

Would love to hear from anyone who's worked on these models.