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1、AnalysisofCrossSectionalEquityModelsEdwardQian&RonaldHuaPutnamInvestmentsOnePostOfficeSquareBoston,MA02109February,20021.IntroductionGenerally,twoclassesofquantitativemodelsareusedinactiveportfoliomanagement:timeseriesandcross-sectionalmodels.Thetimeseriesmodelshaveproventobeveryusefulintheareasof
2、tacticalassetallocationandactivecurrencymanagement.Thisisunderstandableforatleasttworeasons.One,therearestrongeconometricbasisforforecastingassetandcurrencyreturn.Two,thereexistslengthycollectionofhistoricaldatainthoseareas–anecessaryingredientforbuildingtimeseriesmodels.However,bothoftheseconditi
3、onsareoftennotmetwhenitcomestoquantitativestockselection.Stockselectionisalmostallaboutstockspecificreturns,whichliesoutsideoftherealmofeconometricmodels.Formanycompanies,therejustisnotenoughtimeseriesdataavailable.Moreover,thesheernumberofstocksinatypicalportfolioshouldpreventanyseriousattempttob
4、uildtimeseriesmodelsonindividualstocks.TheDCFbasedmodels,ontheotherhand,requireearningprojectionanddiscountrateassumption,whicharemostlybasedonfundamentalanalysisratherthanquantitativemodeling.Forthepurposeofthispaper,wedon’tconsiderthemasquantitativemodels.Asaresult,quantitativeequityanalystsandp
5、ortfoliomanagersincreasinglyrelyuponcross-sectionalmodelsinthestockselectionprocess.Theintentofcross-sectionalmodelsisnottoaccuratelyforecastthefuturetotalreturnofindividualstocks,buttopredicttherelativeperformanceofallstocks.Oneadvantageofthesemodelsisflexibility.Onceconstructed,wecanapplythemtoa
6、lmostallcompaniesregardlessoftheirages,sincethemodelinputscomefrommostlycurrentvaluesoffactors.Nevertheless,theconstructionofthemodelsstillrequiresanadequatehistoryofcross-sectionaldata.Despiteitspopularity,thereseemstobealackofbetterunderstandingconcerningconstructionandperformanceofcross-section
7、alequitymodels.Onaverybasiclevel,itisintuitivetoeveryonethatabilitytorankfuturestockreturnsisofcrucialimportanceinacross-sectionperspective.Aquantitativeproxyforthisabilityiscross-sectionalinformationcoefficient(