What is prepayment behaviour modelling?

Prepayment behaviour modelling in home loans is the use of statistical and machine learning models to predict when and how much a borrower is likely to repay their mortgage ahead of the scheduled repayment plan.

Why Borrowers Prepay

  • Interest rate falls: Borrowers refinance at a lower rate, fully closing the old loan.
  • Windfall income: Bonus, inheritance, or asset sale provides extra funds.
  • Financial prudence: Desire to reduce debt burden and interest outgo.
  • Property sale: Loan is fully repaid when the mortgaged property is sold.
  • Balance transfer: Switching to another lender offering better terms.

Key Variables in Prepayment Models

  • Current LTV ratio (lower LTV = higher prepayment likelihood).
  • Difference between current market rate and the borrower's contracted rate.
  • Loan tenure remaining.
  • Borrower income growth.
  • Property market conditions in the borrower's location.

Prepayment behaviour modelling is a critical but often underappreciated component of mortgage portfolio management. Accurate prepayment predictions help lenders plan liquidity, optimise product pricing, and manage interest rate risk effectively.

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