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基于Logistic模型的信用卡违约风险分析的综述报告 Abstract Thelogisticmodelhasbeenwidelyusedforcreditcarddefaultriskanalysisduetoitseaseofimplementationandhighaccuracy.Inthisreport,weprovideacomprehensiveoverviewofthelogisticmodelanditsapplicationsincreditcarddefaultriskanalysis.Firstly,thelogisticmodelisintroducedanditskeyfeaturesarediscussed.Then,theprocessofmodelbuildingispresentedindetail.Next,wereviewseveralstudiesthatapplythelogisticmodeltocreditcarddefaultriskanalysis.Finally,wesummarizetheadvantagesandlimitationsofthelogisticmodelandsuggestsomefutureresearchdirections. Keywords:Logisticmodel;Creditcarddefaultrisk;Modelbuilding;Empiricalstudies Introduction Creditcarddefaultriskhasbecomeamajorconcernforbothcreditcardissuersandconsumers.Creditcardissuersneedtoassesstheriskoflendingtoindividualconsumers,andconsumersneedtounderstandhowtheirbehaviorsmayaffecttheircreditratings.Oneofthemostwidelyusedapproachestoanalyzingcreditcarddefaultriskisthelogisticmodel.Thelogisticmodelisastatisticalmethodusedtoanalyzetherelationshipbetweenacategoricaldependentvariable(inthiscase,creditcarddefault)andasetofindependentvariables(suchasage,income,creditscore,etc.). Inthisreport,weprovideacomprehensiveoverviewofthelogisticmodelanditsapplicationsincreditcarddefaultriskanalysis.Wefirstintroducethelogisticmodelanditskeyfeatures.Wethendiscusstheprocessofmodelbuilding,includingvariableselection,modelestimation,andmodelevaluation.Next,wereviewseveralstudiesthatapplythelogisticmodeltocreditcarddefaultriskanalysis.Finally,wesummarizetheadvantagesandlimitationsofthelogisticmodelandsuggestsomefutureresearchdirections. LogisticModel Thelogisticmodelisatypeofregressionmodelthatpredictstheprobabilityofacategoricaloutcomebasedonasetofindependentvariables.Increditcarddefaultriskanalysis,thecategoricaloutcomeiswhetherornotacreditcarduserdefaultsontheirpayments.Theindependentvariablesmayincludefactorssuchasage,income,creditscore,educationlevel,etc. Thelogisticmodelisspecifiedasfollows: ThedependentvariableYisbinary,t