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Pricing Mortgage‐Backed Securities: Integrating Optimal Call and Empirical Models of Prepayment
Author(s) -
Archer Wayne R.,
Ling David C.
Publication year - 1993
Publication title -
real estate economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.064
H-Index - 61
eISSN - 1540-6229
pISSN - 1080-8620
DOI - 10.1111/1540-6229.00617
Subject(s) - prepayment of loan , economics , valuation (finance) , interest rate , commercial mortgage backed security , database transaction , actuarial science , empirical evidence , econometrics , monetary economics , computer science , finance , mortgage insurance , programming language , insurance policy , philosophy , casualty insurance , epistemology
Residential mortgage borrowers frequently appear to behave suboptimally with respect to their mortgage prepayment options. Many borrowers fail to exercise even well‐into‐the‐money options while others prepay when the call option is out‐of‐the‐money. To account for these apparently suboptimal prepayments, the recent trend in mortgage‐backed securities research has been away from optimal call valuation models, in which the decision to exercise is determined endoge‐nously, in favor of models in which prepayment behavior is exogenously specified based on empirical estimation. This paper develops a rational model of mortgage prepayment which incorporates both types of “non‐optimal” prepayment and retains endogenous call. This enables the model to disentangle and compare the separate effects of the interest rate call, impeded by transaction costs, and of non‐interest‐rate driven prepayment. In addition, by recognizing heterogenous borrower transaction costs, the model presents a way to account more precisely for the varying prepayment lags associated with well‐into‐the‐money call options and to account for the phenomenon of “burnout” within a mortgage pool. The paper includes an empirical test of the unbiasedness of the integrated pricing model by comparing simulated prices from our theoretical model to observed prices on traded Fannie Mae and GNMA securities.

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