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1、Lee-Cartererrormatrixsimulation:heteroschedasticityimpactonactuarialvaluationsValeriaD’AmatoandMariaRussolilloAbstract.Recentlyanumberofapproacheshavebeendevelopedforforecastingmortality.Inthispaper,weconsidertheLee-Cartermodelandweinvestigateinparticularthehypothesisabouttheerror
2、structureimplicitlyassumedinthemodelspecification,i.e.,theerrorsareho-moschedastic.Thehomoschedasticityassumptionisquiteunrealistic,becauseoftheobservedpatternofthemortalityratesshowingadifferentvariabilityatoldagesthanyoungerages.Therefore,theopportunitytoanalysetherobustnessofest
3、imatedparameterisemerging.Tothisaim,weproposeanexperimentalstrategyinordertoassesstherobustnessoftheLee-Cartermodelbyinducingtheerrorstosatisfythehomoschedasticityhypothesis.Moreover,weapplyittoamatrixofItalianmortalityrates.Finally,wehighlighttheresultsthroughanapplicationtoapens
4、ionannuityportfolio.Keywords:Lee-Cartermodel,mortalityforecasting,SVD1IntroductionThebackgroundoftheresearchisbasedonthebilinearmortalityforecastingmethods.Thesemethodsaretakenintoaccounttodescribetheimprovementsinthemortalitytrendandtoprojectsurvivaltables.WefocusontheLee-Carter(
5、hereinafterLC)methodformodellingandforecastingmortality,describedinSection2.Inparticular,wefocusonasensitivityissueofthismodelandinordertodealwithit,inSection3,weillustratetheimplementationofanexperimentalstrategytoassesstherobustnessoftheLCmodel.InSection4,weruntheexperimentandap
6、plyittoamatrixofItalianmortalityrates.TheresultsareappliedtoapensionannuityportfolioinSection5.Finally,Section6concludes.2TheLee-Cartermodel:asensitivityissueTheLCmethodisapowerfulapproachtomortalityprojections.ThetraditionalLCmodelanalyticalexpression[7]isthefollowing:!"lnMx,t=αx
7、+βxκt+Ex,t,(1)M.Corazzaetal.(eds.),MathematicalandStatisticalMethodsforActuarialSciencesandFinance©Springer-VerlagItalia2010114V.D’AmatoandM.Russolillodescribingthelogofatimeseriesofage-specificdeathratesmx,tasthesumofanage-specificparameterindependentoftimeαxandacomponentgivenbythe
8、productofatime-varyingparameterκt