Term structures of conditional probabilities of corporate default in an incomplete information setting

dc.contributor.advisorRiedi, Rudolf H.
dc.creatorJabri, Hanane
dc.date.accessioned2009-06-03T19:52:37Z
dc.date.available2009-06-03T19:52:37Z
dc.date.issued2008
dc.description.abstractWith the emergence and expansion of credit derivatives, which are financial instruments that are based on corporate bonds and provide their holders a protection against default, the importance of estimating probabilities of default has reached an unprecedented level. We have developed a Bayesian model to estimate term structures of conditional probabilities of corporate default, in an incomplete information setting. In such settings, investors do not have a complete picture of the economy nor of the true financial status of a firm. Therefore, we introduce a stochastic frailty to capture this unobservable source of uncertainty and to model default clustering. Frailty is found to have an impact on conditional default probabilities and on the default correlation between firms. The resulting values are well above those predicted by observable stochastic covariates: US interest rates, US Personal Income and a firm's distance-to-default.
dc.format.extent117 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS STAT. 2008 JABRI
dc.identifier.citationJabri, Hanane. "Term structures of conditional probabilities of corporate default in an incomplete information setting." (2008) Diss., Rice University. <a href="https://hdl.handle.net/1911/22240">https://hdl.handle.net/1911/22240</a>.
dc.identifier.urihttps://hdl.handle.net/1911/22240
dc.language.isoeng
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.
dc.subjectStatistics
dc.subjectEconomics
dc.subjectFinance
dc.titleTerm structures of conditional probabilities of corporate default in an incomplete information setting
dc.typeThesis
dc.type.materialText
thesis.degree.departmentStatistics
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy
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