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Mathematical models in credit risk

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dc.contributor.author Corbu, Dinu
dc.date.accessioned 2011-07-13T21:35:40Z
dc.date.accessioned 2022-10-27T01:08:09Z
dc.date.available 2011-07-13T21:35:40Z
dc.date.available 2022-10-27T01:08:09Z
dc.date.copyright 2006
dc.date.issued 2006
dc.identifier.uri https://ir.wgtn.ac.nz/handle/123456789/25393
dc.description.abstract Exposure and uncertainty are two main components of any type of risk and particularly of credit risk. The future evolution of economic systems, in condition of uncertainty and vulnerability to financial default, should be described using appropriate tools. Therefore, a variety of stochastic processes, more and more sophisticated, are used in credit risk modeling. This paper contains an overview and an interpretation of the evolution of credit risk modeling in connection with stochastic processes, from early approaches to the latest developments based on affine and Lévy processes. en_NZ
dc.format pdf en_NZ
dc.language en_NZ
dc.language.iso en_NZ
dc.publisher Te Herenga Waka—Victoria University of Wellington en_NZ
dc.title Mathematical models in credit risk en_NZ
dc.type Text en_NZ
vuwschema.type.vuw Awarded Research Masters Thesis en_NZ
thesis.degree.discipline Statistics and Operations Research en_NZ
thesis.degree.grantor Te Herenga Waka—Victoria University of Wellington en_NZ
thesis.degree.level Masters en_NZ
thesis.degree.name Master of Science en_NZ


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