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ID:32207116
大小:1.89 MB
页数:46页
时间:2019-02-01
《我国商业银行信用风险管理的应用分析》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、ABSTRACTCreditriskisoneofthemostimportantriskswhichbanksareconfrontedwith.Especial.1lywiththedevelopmentoftheglobaleconomicintegrationandliberalizationoffinancialreform,Creditriskproblembecomingmoresevere.Theobjectiveofcreditriskmanagementistohopethatthroughbanktime
2、lydiscoverytherepaymentabilityofborrowerstocontroltheriskability,thusreducingthelikelihoodoftherisklossforcommercialBanks.Atpresent,’Inordertoimprovetheabilityofcreditriskmanagement,themajorinternationalfinancialinstitutionshavedevelopedvarioustypesofcreditriskmodel
3、s.Thisarticleisintendedtoimprovetheexistingmodel,theprimarycontentsareasfollows:Chapteroneintroducesthebackgroundandsignificanceoftheresearch.,researchstatusofdomesticandforeignandtheideasandstructureofthisstudy.Chaptertwointroducesthedefinitionofcreditrisk,basiccha
4、racteristics,thecausesofCreditriskinourcountry’commercialbanksandcommonlyusedmethodofriskquantification.Chapterthreeisoneofthetwomaincontentsofthispaper-introducetheLogisticmodelbasedonprincipalcomponentanalysisinthecreditriskmanagement.Firstweselectrelatedfinancial
5、indicatorsseparatelyfromthecompanyprofitability,operationcapacity,capacityde—velopmentandshortandlongtermdebtpayingability,Thenusingprincipalcomponentanal—ysisbuildalistedcompanycomprehensiveevaluationindex,Finally,usingtheLogisticmod—elonthelistedcompany’Screditris
6、kmeasurement.Chapterfourisanothermaincontentinthispaper.ItintroducesthebasicprinciplesofKMVmodel.Becausetimeseriesdatahavethepeaks,heavytailsandheteroscedasticitycharacteristics,Weadoptstudents—tdistributionandgeneralizederrordistributiontodescribethefattailcharacte
7、ristics,AndusingheteroskedasticitymodelGARCHmodel,TGARCHmodelandtheEGARCHmodeltoprocessdataheteroscedasticity.Thencreateasuitablemodeltoestimatethevolatilityofequity,andfinallycalculatethedefaultdistancetomeasurecreditrisk.Wetestthedefaultdistancefromdifferentmodel,
8、TheresultsshowthatthemodelcoulddistinguishSTfirmsandnormalcompanies.Chapterfiveisthesummaryofthispaper.KeyWords:Creditrisk;Quantitativemod
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