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Burnout from pools to loans: Modeling refinancing prepayments as a self-selection process

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Author Info
Gan, Jumwu
Abstract

In this paper we present compelling evidence from a detailed analysis of historical prepayment data to demonstrate that a mortgage cohort remembers the level of the previous mortgage rate troughs experienced by the cohort. This is a general property, observed ubiquitously, that inescapably leads to refinancing models with a continuous distribution of refinancing incentive thresholds (elbows). We present such a new refinancing model, derived from the first principle, based on a single assumption that each loan has an incentive threshold above which its borrower will refinance. In this model, the refinancing prepayment of a cohort is a dynamic self-selection process that evolves by itself according to the encountered mortgage rate environment with the cohort concurrently acquiring its memory along the way.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 15596.

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Date of creation: 31 May 2009
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Handle: RePEc:pra:mprapa:15596

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Related research
Keywords: Mortgage; Prepayment; refinance; burnout; MBS; duration; convexity;

Find related papers by JEL classification:
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
G19 - Financial Economics - - General Financial Markets - - - Other
G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

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  1. Hall, Arden, 2000. "Controlling for Burnout in Estimating Mortgage Prepayment Models," Journal of Housing Economics, Elsevier, vol. 9(4), pages 215-232, December. [Downloadable!] (restricted)
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This page was last updated on 2009-11-11.


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