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dc.contributor.authorJi, Liuyan
dc.date.accessioned2020-12-18 21:26:23 (GMT)
dc.date.available2021-04-18 04:50:07 (GMT)
dc.date.issued2020-12-18
dc.date.submitted2020-12-14
dc.identifier.urihttp://hdl.handle.net/10012/16581
dc.description.abstractMuch empirical work has shown that asset returns, exchange rates, operational risks, large insurance claims exhibit heavy tailedness. Dependence also widely exists among these risks. An example of the impact of dependence on finance is the systemic risk observed in the 2008 financial crisis, that is the extreme risks are contagious. In this thesis, we study the tail dependence through copulas with tail order property and then aim to investigate the effects of heavy tailedness and tail dependence for the extreme risks through a so-called Joint Expected Shortfall risk measure.en
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.subjecttail dependenceen
dc.subjectheavy tailen
dc.subjectcopulaen
dc.subjectjoint expected shortfallen
dc.titleTail Dependence and Heavy Tailedness in Extreme Risksen
dc.typeMaster Thesisen
dc.pendingfalse
uws-etd.degree.departmentStatistics and Actuarial Scienceen
uws-etd.degree.disciplineStatisticsen
uws-etd.degree.grantorUniversity of Waterlooen
uws-etd.degreeMaster of Mathematicsen
uws-etd.embargo.terms4 monthsen
uws.contributor.advisorTan, Ken Seng
uws.contributor.advisorYang, Fan
uws.contributor.affiliation1Faculty of Mathematicsen
uws.published.cityWaterlooen
uws.published.countryCanadaen
uws.published.provinceOntarioen
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen


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