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Assessment of mortgage default risk via Bayesian reliability models

Assessment of mortgage default risk via Bayesian reliability models In this paper, we consider duration‐type models and their generalizations for modeling default risk. The models are motivated by noting similarities between reliability/survival analysis and mortgage default risk. We present Bayesian modeling strategies used in reliability analysis for describing time to default data. Our models include proportional hazards‐type generalized gamma and mixture models, which are capable of capturing nonmonotonic default rates. We develop Bayesian inference for our models and illustrate their implementation using actual time to default data from the U.S. mortgage market. Copyright © 2010 John Wiley & Sons, Ltd. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Stochastic Models in Business and Industry Wiley

Assessment of mortgage default risk via Bayesian reliability models

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References (35)

Publisher
Wiley
Copyright
Copyright © 2010 John Wiley & Sons, Ltd.
ISSN
1524-1904
eISSN
1526-4025
DOI
10.1002/asmb.849
Publisher site
See Article on Publisher Site

Abstract

In this paper, we consider duration‐type models and their generalizations for modeling default risk. The models are motivated by noting similarities between reliability/survival analysis and mortgage default risk. We present Bayesian modeling strategies used in reliability analysis for describing time to default data. Our models include proportional hazards‐type generalized gamma and mixture models, which are capable of capturing nonmonotonic default rates. We develop Bayesian inference for our models and illustrate their implementation using actual time to default data from the U.S. mortgage market. Copyright © 2010 John Wiley & Sons, Ltd.

Journal

Applied Stochastic Models in Business and IndustryWiley

Published: May 1, 2010

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