基于极值理论的行业信用风险尾部相关分析

基于极值理论的行业信用风险尾部相关分析

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时间:2019-01-30

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1、AbstractDependenceanalysisisthekeytoriskmanagementofcreditportfolio.Westemcommercialbankswidelyagreethattheessenceofindustrialcreditriskisindustrialcentralizedcreditrisk,thusthecentralpartofindustrialcreditriskmanagementisdecentralization.Inordertodothis,aneffectiveandprecis

2、eanalysisofdependencestructurebetweenindustrialcreditrisksisnecessary.ThroughthestudyOntheactualityandacademicachievementofcreditriskmanagementandindustrialcreditriskmanagementinandoutofthecountry,itisfoundthat.there’∞someflawsinthesuppositionsofthecreditportfolioriskassessm

3、entmodelforexample,normaldistributionandindependenceofthevariables.Thesewrongsuppositionswouldleadtomisevaluationofjointdefaultrisk,andweakentheefficiencyofriskmanagementofbanks.Andthestudyonthepopularmeasuresofdependenceanalysisofcreditportfolioriskshowsthat,ononehand,mosto

4、fthedependencemeasuresforcreditportfolioriskbaseOnmultivariatenormaldistributionwhichisnottrueintherealworld.Ontheotherhand,thelinearcorrelationmeasureswhichareappliedintheanalysisofthedependenceofcreditportfolioriskarenotsuitablefortaildata.Respondingtotheissuesarisingfromt

5、hestudyabove,thispaperintroducesadependencemeasureforbivariateextremetOidentifytheformandsizeoftaildependence.Thisdependencemeasureforbivariateextremeprovidesmorepreciseestimationandpredictionresultthantraditionaldependencemeasures,asitfocusesOnandtakesfulladvantageoftaildat

6、a.Thispaperiscomposedofsevenchapters.TheChapterTwoanalysestheactualityandacademicachievementofcreditriskmanagementandindustrialcreditriskmanagementinandoutofthecountry.TheChapterThreeintroducestheextremevaluetheoriesandtheirapplicationsontheestimationofreturnonassets.TheChap

7、terFourintroducesthedependencemeasureforbivariateextreme.andtheestablishmentnonparametricestimationforasymptoticdependencexasymptoticindependencex.TheChapterHveintroducesadataprocessingmethodGARCHfiltertoobtainresidualsfromGARCHthroughtheuscofwhichwouldimprovetheefficiencyof

8、thedependencemeasureintroducedinChapterFour.TheChapterSixisanempiricalstudy

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