This study uses survival analysis to dynamically monitor mortgage loans because it can tell not only if a loan will default or be prepaid within the loan term but also when these events will happen. With survival analysis, financial institutions can make credit granting or risk controlling decisions based on expected profits and losses rather than on default or prepayment probability. Moreover, this study introduces a special credit score system, the survival table, whose user-friendliness simplifies the risk management of mortgage loans. Evidence from Taiwan shows that survival-based methods perform superiorly to traditional logistic models.