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1、2014-CAS8§7Mahler,ShiftingRiskParametersHCM5/13/14,Page326Section7,Mahler,ShiftingRiskParameters235Erratafor“AnExampleofCredibilityandShiftingRiskParameters”byHowardC.Mahler:236Page286,firstsentence:237τisdistributedontherange[-1,1].Iftheactualcorrelation,ρ=0,thenτissymmetricallydistr
2、ibutedontherange[-1,1].Page297,fourthline:238⎡l(
3、j-i
4、)ζ2i≠jCov[Xi,Xj]=⎢ζ22⎣+δi=j 235“AnExampleofCredibilityandShiftingRiskParameters”,byHowardC.Mahler,PCAS1990.CandidateswillnotbetestedontheAppendices.CASLearningObjectiveA1.236Notofficial.237InAppendixB,notonthesyllabus.238InAppendixD
5、,notonthesyllabus.2014-CAS8§7Mahler,ShiftingRiskParametersHCM5/13/14,Page327ShiftingRiskParameters:Shiftingriskparameters:Theparametersdefiningtheriskprocessforanindividualinsuredarenotconstantovertime.Thereare(aseriesofperhapssmall)permanentchangestotheinsuredʼsinitialriskprocessason
6、elooksoverseveralyears.239Forexample,aprivatepassengerautomobileinsuredʼsriskparametersmightshiftifamajornewroadwereopenedinhislocalityorifhechangedthelocationtowhichhecommutestowork.Inanotherexample,theprivatepassengerautomobileinsuranceexperienceofatownrelativetotherestofthestate,in
7、otherwordsthetownʼsrelativity,couldshiftasthattownbecomesmoredenselypopulated.Inyetanotherexample,theproceduresandmachinesusedtomanufacturewidgetschangeovertime.ThiscouldresultinchangesovertimeintheexpectedpurepremiumandthereforetherelativityfortheWidgetManufacturingClassforWorkersCom
8、pensationInsurance.Forinsurancesituations,riskparametersarenevertotallyconstantoverdecades.However,dependingonthelengthofthetimeperiodconsideredandtheparticulardata,themagnitudeoftheshiftscanbelargeorsmall.Ifriskparametersshiftsignificantlyovertime,thiswillsignificantlyeffecttheoptima
9、lcredibilitytoassigntoyearsofpastdatainordertopredictthefuture.TheBaseballParadigm:InMahlerʼs“AnExampleofCredibilityandShiftingRiskParameters,”theauthorevaluatesvariousestimatesforbaseballteamsʼfuturelosingpercentagesusinghistoricallosingpercentagesHediscussestheimpactofshiftingparame
10、terso