英文摘要
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A prepayment rate is recognized as the prepaid proportion of the remaining principal in each pool of loans. The behavior of prepayment rates is a key component of determining an interest level and stripping a mortgaged-back cash flow.
In this article we propose a piecewise exponential regression model for the prepayments at discrete intervals. The data set contains 1,246 close-end and adjustable-rate home equity loans. For each pool of loans, the prepaid principal of each loan is summed at each interval. The prepayments for several intervals are collapsed as one prepayment when the interval estimates are evaluated.
We investigate the burnout effect and the effects of the explanatory variables on the prepayment rates, which are the conditional probabilities of prepayments at each interval. The explanatory variables include age, loan amount, refinancing incentive, and non-housing investment and risk tendency. In the burnout effect, we find that the prepayments are associated with age. They peak at about seven and half years, decline rapidly thereafter and stay stable between ten and half years and twelve and half years. In the effects of the explanatory variables, we find that (a) the ratio of the spread between the weighted average mortgage rate (i.e., WAC) and one-year deposit rate to one-year deposit rate, the return and fluctuation of stock index are positively correlated with prepayments, (b) the ratio of the spread to one-year deposit rate is path-dependent when prepayments are estimated, (c) in each pool of moderate age and old age, as well as in the pool of high outstanding amount, their capability of risk-taking of three years is greater than that of five years.
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