A stochastic approach to prepayment modeling

dc.contributor.advisorThompson, James R.en_US
dc.creatorOverley, Mark S.en_US
dc.date.accessioned2009-06-04T00:07:12Zen_US
dc.date.available2009-06-04T00:07:12Zen_US
dc.date.issued1996en_US
dc.description.abstractA new type of prepayment model for use in the valuation of mortgage-backed securities is presented. The model is based on a simple axiomatic characterization of the prepayment decision by the individual in terms of a continuous time, discrete state stochastic process. One advantage of the stochastic approach compared to a traditional regression model is that information on the variability of prepayments is retained. This information is shown to have a significant effect on the value of mortgage-backed derivative securities. Furthermore, the model explains important path dependent properties of prepayments such as seasoning and burnout in a natural way, which improves fit accuracy for mean prepayment rates. This is demonstrated by comparing the stochastic mean to a nonlinear regression model based on time and mortgage rate information for generic Ginnie Mae collateral.en_US
dc.format.extent146 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoTHESIS STAT. 1996 OVERLEYen_US
dc.identifier.citationOverley, Mark S.. "A stochastic approach to prepayment modeling." (1996) Diss., Rice University. <a href="https://hdl.handle.net/1911/17009">https://hdl.handle.net/1911/17009</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/17009en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectStatisticsen_US
dc.subjectEconomicsen_US
dc.subjectFinanceen_US
dc.titleA stochastic approach to prepayment modelingen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentStatisticsen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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