Multifactor dynamic credit risk model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00431755" target="_blank" >RIV/67985556:_____/14:00431755 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Multifactor dynamic credit risk model
Original language description
We propose a new dynamic model of the Merton type, based on the Vasicek model. We generalize Vasicek model in three ways: we add model for loss given default (LGD), we add dynamics to the model and we allow non-normal distri- butions of risk factors. Then we add a retrospective interaction of underlying factors and found a non-linear behaviour of these factors. In particular, the evolution of factors underlying the DR and the LGD is assumed to be ruled by a non-linear vector AR process with lagged DR and LGD and their non-linear transformations. We apply our new model on real US mortgage data and demonstrate its statistical significance.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
32nd International Conference Mathematical Methods in Economics MME 2014
ISBN
978-80-244-4209-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
185-190
Publisher name
Palacký University, Olomouc
Place of publication
Olomouc
Event location
Olomouc
Event date
Sep 10, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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