版權(quán)說明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請進(jìn)行舉報或認(rèn)領(lǐng)
文檔簡介
InternationalFinanceDiscussionPapersForeigneconomicpolicyuncertaintyandU.S.equityreturnsMohammad.R.Jahan-Parvar,YuriyKitsul,JamilRahman,andBethAnneWilsonJahan-Parvar,Mohammad.R.,YuriyKitsul,JamilRahman,andBethAnneWilson(2024).“ForeigneconomicpolicyuncertaintyandU.S.equityreturns,”InternationalFinanceDis-/10.17016/IFDP.2024.1401.NOTE:InternationalFinanceDiscussionPapers(IFDPs)arepreliminarymaterialscirculatedtostimu-latediscussionandcriticalcomment.TheanalysisandconclusionssetfortharethoseoftheauthorsanddonotindicateconcurrencebyothermembersoftheresearchstafortheBoardofGovernors.ReferencesinpublicationstotheInternationalFinanceDiscussionPapersSeries(otherthanacknowledgement)shouldbeclearedwiththeauthor(s)toprotectthetentativecharacterofthesepapers.RecentIFDPsareavailableontheWebat/pubs/ifdp/.ThispapercanbedownloadedwithoutchargefromtheSocialScienceResearchNetworkelectroniclibraryatwww.ssrn.c1MohammadR.Jahan-ParvarYuriyKitsulJamilA.RahmanBethAnneWilson*AbstractWedocumentthatforeigneconomicpolicyuncertainty(EPUF)hassigni?cantincre-to12-months-aheadhorizons.We?ndthatEPUFshocksprimarilytransmittoequityconsistentwiththistransmissionmechanism.Corporateinvestmentoutlays,payouts,JELClassification:G11,G12,C13,E20,E30.Keywords:Economicpolicyuncertainty,Cash丑ows,Discountrates,ICAPM,Returnpredictabil-ity,Transmissionchannels.*Jahan-Parvar,Kitsul,andWilsonarea伍liatedwiththeInternationalFinanceDivision,FederalReserveBoardofGovernors.Rahmanisa伍liatedwiththe?nancedepartment,YaleSchoolofManagement.Pleasedirectcorre-spondencetoMohammadR.Jahan-Parvar(mohammad.jahan-parvar@).WethankSirioAramonte,AndrewDetzel,MatteoIacoviello,OscarJorda,NiklasKroner,SaiMa,JacksonMills(FMAdiscussant),Juan-MiguelLon-dono,DinoPalazzo,TatevikSekhposyan,EmreYoldas,andStijnVanNieuwerburghfordetaileddiscussionsandseminarparticipantsatFederalReserveBoard,NorthAmericanSummerMeetingoftheEconometricSociety(2021),FMAannualmeeting(2021),CFE(2021),MidwestEconometricsMeeting(2022,MichiganStateUniversity),Math-WorksFinanceConference(2023),andIRMC(2024,Milan).WethankJakeHarmonandBillLangforexcellentresearchassistance.Theanalysisandconclusionsarethoseoftheauthors,anddonotre丑ecttheviewsofothermembersoftheresearchstafortheBoardofGovernors.11IntroductionSeminalstudiesofBloom(2009),BasuandBundick(2017),andBaker,BloomandDavis(2016)establishthateconomicuncertaintyingeneralandeconomicpolicyuabout?scal,monetary,regulatoryandothereconomicpolicies–inparticular,afectrealeconomic2013)andBrogaardandDetzel(2015)showthatEPUpredictsbroadequitymarketindexreturnsintheUnitedStates.1Inaddition,thelatterstudyarguesthatEPUpredictabilityoperatesthroughAtthesametime,thecross-countryinteractionsofeconomicpolicyuncertaintyandequand(3)?nancialpress,marketanalysts,and?rmearningscallreportsfrequentlyciteuncertaintythatU.S.-basedcompaniesfrequentlydiscusscountryrisksoriginatingfromBrazil,Japan,andMexico,basedontextualanalysisoftheirearningscalls.ThispaequitymarketsbyinvestigatingwhetherforeignEPU(EPUF)helpsexplainfutureexcessequityreturnsintheU.S.,aswellasthechannelsthroughwhichEPUFshockstransmittotheU.S.stockreturns.Inparticular,weask(1)whetherEPUFpreditheU.S.;(2)howthepredictiveabilityofEPUFdifersacrossreturnsofequityportfoliosformedon?rmcharacteristicsthatmayafectreturnssensitivitytoforeignEPU(tobetterunderstandsourcesofaggregatepredictability);(3)whetherEPUFshockstransmittoequitypricesthroughtoEPUFshocksshedadditionallightonthetransmissionofEPUFshockstoU.S.stockprices.theUnitedStates.GlobalEPUre丑ectsperceive willhave.ToobtaintheforeignEPUmeasure,westriptheU.S.componentfromtheglobalEPU 1BrogaardandDetzel(2015)alsodemonstratethatEPUcommandsariskpremiuminthecross-sectionofU.S.equityreturns.2Notethattradeingoodsandservices(exportsplusimports)accountedforabout27%oftheUnitedStatesGDPin2018,upfromabout9.2%and20%in1960and1980,respectively.2byorthogonalizingglobalEPU(EPUG)withrespecttoitsU.S.counterpart(EPUUS).WetheninvestigatewhethertheconstructedEPUFmeasurehasincrementalpredicEPUFpredictsU.S.stockindexreturnsathorizonsbetween9to12monthsahead.Forreturnsofportfoliosformedon?rmincompaniesthataretypicallylarger,acquiremoreassets,hhorizonU.S.returnscomparedtoEPUUS,predictivepowerofwhichisconcentratedforhorizons1999),withinformationfromabroadtakinglongertodifusetoU.S.equitymarketscomparedtoequityprices(seeBianchi,LettauandLudvigson,2022,Chen,DaandZhao,2013,andCochrane,2011).This?ndingisintuitive.Itislesslikelythatchangesineconomicpolicymateriallyandconsistentlyafectmonetarypolicy,policyrates,anddiscountratesintheUnitedStates.Ontheotherhand,domestic?rmswithinvestmentprojectsfollowingthearrivalofadverseforeignEPUbystudyingresponsesprecautionarydelaysindemandforcreditandcapitalexpenditure.Thatis,afterthearrivalofanEPUFshock,inaggregate,?rmsreducedividenddistributions,aswellasborrowandinvestless. inU.S.EPU.ExamplesincludeP/astorandVeronesi(2012,2013)andBrogaardandDetzel(2015),whichfocusontherelationshipbetweenU.S.EPUandexpectedexcessreturns,aswellasKavianietal.(2020)andBonaimeetal.(2018),whichdocumentefectsofspreadsandmergersandacquisitionactivity,respectively.Cross-countryEPUspillovershavere-fthecross-borderefectsofEPUinequitymarkets,acountryEPUspilloversinequitymarketswithresultsonspilloverstomacro-?nancialvariables.3etal.,2019)orat?rmlevelasinHassan,Schreger,SchwedelerandTahoun(2024).Inparticular,Hassanetal.(2024)documenttherelationbetweenEPUlevelsandinvestmentandcapitalexpenditIon(2015).betweenpoliticalriskand?nancialmarkets.ExamplesincludeBoutchkova,Doshi,Durnevandturnsvolatility,Kelly,P/astorandVeronesi(2016)whoextractthepoliticaluncertaintyprotectionpremiums.Brogaard,Dai,NgoandZhang(2020)?ndthatpoliticaluncertaintymeasuredbytheItisintuitivelyplausiblethatpoliticaldevelopmentsintheUnitedStates–asthelargestandmostsigni?cantglobal?nancialcenter–meaningfullytransmittoothermarketsandafectinvestors’risktoleranceanddiscountraoverlap,theymeasurediferenttypesofrisk.policyuncertaintymeasure,andthemethodofextractionofforeign2DataWeusetheglobalandtheUnitesStatesEPUmeasuforJanuary1997toMay2021.3Weusethe3-componentindexversioEPUUS).Thisindexisaweightedaverageofthenews-basedEPU(50%),tax-codeexpiration 3See/index.html.WhileglobalEPUindexisonlyavailablefromJanuary1997,U.S.EPUisavailableforalongerperiod.4economicefectsofpoliciesthatarenotItisavailableintwoversions:currentpriceGDP-weightedandPPP-adjustedGDP-weighted.WeusethecurrentpriceGDP-weightedseriLudvigsonetal.(2021),activitymeasuressuchasAruobaetal.(2009),taintymeasureofHustedetal.(2020),ortradepolicyuncertaintyofCaldara,Iacoviello,Molligo,uncertaintymeasures,respectivtypesofuncertainty.4Thus,weremainfocusedonEPUinthisstudy.Wecollectmonthlydataforequityreturns,relevant?nancialandaccountingquantitiesingfactorsand?rmcharacteristicstheNYSE/AMEX/NASDAQexchangesfromthemergedCenterforResearchinSecurityPrices(CRSP),Compustat,CapitalIQ,andotherresourcesfromWhartonresearchdataservices(WRDS)FREDdatabasemaintainedbyFederalReserveBankofSt.Louis,andauthors’websites(suchasKennethFrenchandRobertShiller,amongothers).5WeinvestigatetherelationshipbquantitiestoforeignEPUshocks.The?rststeprequirestheconstructionofaproxyf4ThesamplecorrelationsbetweenCaldaraetal.(2020)TPUindexandEPUUSandEPUGare0.37and0.57,respec-tively,inoursample.ThesecorrelationsforCaldaraandIacoviello(2022)GPRindexandEPUUSandEPUGare0.50and0.74,andthesequantitiesforLondonoetal.(forthcoming)REUindexandEPUUSandEPUGare0.31and0.35.5ThefollowingdatawereretrievedfromFRED,FederalReserveBankofSt.Louis:1)fromU.S.BureauofEconomicAnalysis:RealGrossDomesticProduct[GDPC1],/series/GDPC1;RealGrossPrivateDomesticInvestment[GPDIC1],/series/GPDIC1;Un-employmentRate[UNRATE],/series/UNRATE;2)fromChicagoBoardOp-tionsExchange:CBOEVolatilityIndex:VIX[VIXCLS],/series/VIXCLS;3)fromBoardofGovernorsoftheFederalReserveSystem(US),CommercialandIndustrialLoans,AllCommercialBanks[BUSLOANS],/series/BUSLOANS.See/pages/faculty/ken.french/datalibrary.htmlfordataonequityportfo-lioreturns,/fordataoncyclicallyadjustedprice-to-earningsanddividend-priceratios,and/novy-marx/datalib/index.htmlfordataonpro?tabilityfactors.RealizedvolatilitydatausedinTable1arefromHeberetal.(2009).5f2.1Constructionandeconomicsigni?canceofforeignEPUGiventhesizeoftheU.S.eccountries.Inparticular,theyshowthatU.S.economicpolicyuncertaintynewscontaminateEPUmeasurementabroad.InTable1,wereportthatEPUUSandEPUGarehighlycorrelated,withacoe伍cientofcorrelationabout0.80.Thus,usingbothEPUGandEPUUSinpredictiveregressionsEPUUSby?ttingthefollowingregrEPUtG=h0+h1EPUtUS+vt.(1)WerenametheOLSregressionresiduals,t,from?ttingequation(1)todata“foreignEPU”orEPU.ThisvariablecapturesthevariationinEPUGthatis,byconstruction,uncorrelatedwithEPUUSattimet,buthaveacoe伍cientofcorrelationequalto0.59withEPUG.Thus,orthogo-nalizationisnecessarytodisentangletheefectsofglobalandU.S.ecTable2reportsthesummarystatisticsofthesemeasures.TheconstructedEPUFmeasureisin-tendedtobesimilar(instatisticalproperties)butlinearlyuncorrelatedtoEPUUS,asshowninthetable.WenotethatallthreeEPUmeasuresarecons(P/E)ratiosare0.98,0.95,and0.80,respectively.Throughoutthepaper,weuseEPUFanddemeanedvaluesofEPUUSintheanalysis.Figure1displaysthethreeEPUmeasures.Asmentionedequation(1),EPUFispositivevaluedwhenEPUGisgreaterthanits?ttedvalueimpliedbynegativespikeinEPUFcorrespondingtoSeptemberof2001.EPUFremainedinnegativforthebetterpartoftheGlobalFinancialCrisis(GFC)period.NotablepositivespikesinEPUF6Onecouldalsouseridgeregressionsorothersolutions.62016(theUnitedStatespresidentialelection).EPUFremainedinpositiveterritoryfrom2018tradingpartnersrose.ThebottomleftpanelofFigure1reportsthehistogramofEPUF.intoabeta-standard-deviationinEPUforeverystandard-variable,allelseequal.ThwhereEPUisoneofthetvariables,andeareerrorterms.WeincludeVIXandoption-impliedvolatilityforEuroSTOXX50index(VSTOXX),thespreadbetween10-yearand1-yearU.S.TreasurybondandGermanbundyields(Spread),thespreadbetweenU.S.BBBandAAAnon-?nancialcorporatebondyields(defaultspreadorDef.),thesmoothedlogprice-dividendratios(log(P/D))forS&P500andEUROSTOXX600indexes.WealsoincludeFederalReserveBankofChicago’snationalactivityindex(CFNAI)andlogvaluesoftheBalticDryIndex(BDI),ashippingfreight-costindexthatactsasabellwetherforinternationalm.7WereportU.S.-andeuro-areaspevaluesofVIXandVSTOXXforEPUUSarepositive-valuedandsigni?cant.OtherestimatedjforEPUUSthatarestatisticallydiferentfromzeroincludeU.S.andeuro-areaP/Dratios,Germanspreads,CFNAI,theBDI(negative-valued),andU.S.Treasuries’spread(positive-valued).ForEPUGratios,Germantermspreads,theBDI(negative-valued),andVIX(positive-valued).ThebottomU.S.defaultspread,U.S.P/D,VIX,VSTOXX,Germanspreads,theBDI(negative-valued),andCFNAIandeuro-areaP/D(positive-valued).ThenegativerelationshipofallEPUmeasureswiththeBDIindexisinterestingandinformative:whentradeintensityrises(recedes),bothdomesticandforeignEPUmeasuresdecline(rise).ThisrelationshipswithP/DratiosimplythatEPUFishigh(low)whentimesare“bad”(“good”)7Univariateresultsareavailable,butnotreported.7eitherintheU.S.orabroad.ThiscountercyclicaldynamicsofEPUFmaybebehindthemeasure’spredictivepowerforthetime-seriesofU.2.2ConstructionofforeignEPUshocksEPUFisquitepersistent.AsshowninTable2,thevaluesofits?rstandtenthautocorrelationcoe伍cientsare0.89and0.71,respectively.Thus,themovesinEPUFlevelvalues,albeitsizeable,indexes.WeusethemethoddescribedinDiercks,HsshockextractionprocedureechoesmanyelementsofYt=A0+A1Yt-1+";(3)followingorderingofvariables:EPUGindex,EPUUSindex,thelogoftheMSCIACWI(excludingUnitedStates)index,andthefederalfundsrate.A0isavectofcoe伍cients,and"istheshockontheAkaikeinformationcriteria(AIC),andtreatthe?rstcolumnvectorin(=Yt-t)asEPUFshocks.8TheinternationalorientationofourexerciseasetofvariablescomparedtoDiercksetal.(2024).First,insteadofS&P500index,weuseMSCIadditiontoEPUG,wealsoincludeEPUUSintheprocedure.Third,sinceglobalmeasuresof 8TheorderofCholeskydecompositionassumesnofeedbackfromEPUGtoEPUUS,whichcouldnotalwaysbethecase.Therefore,theresultsshownlatercouldbeviewedaslowerboundsfortheefectofEPUFshocks.83AggregateandportfolioexcessreturnspredictabilityThroughoutthissection,wediscusspredictabilityofU.S.broadequityindexreturnsandthoseofthedata:aheadpredictions)over1-monthU.S.TreasuryBillrate(hencefobrevity)9,EPUisconstructedasinSection2.1,andEPUisthedemeanedU.S.EPUmeasureofBakeretal.(2016),Zsarecontrolvariables(discussedbelow),and?nallyε,t+kisanerrorterm.Sinceeconomicpolicyuncertaintyindexesareultimatelymeasuresofrisk,weexpectthatestimatedslopeparametersforEPUFandEPUUSinequation(4),and,tobepositivevalued,asintheconventionalMerton(1973)-stylerisk-returntradeofrelationship.Toavoibias,weconstructforeignEPUmeasureattimetwithdataavailableonlyuptotimetforeachSimilartoBrogaardandDetzel(2015),Weincludethefollowingcontrolvariables:theNBERrecessionindicator,10-yearover1-yearU.S.Treasurybondspreads,BBB-AAAcorporatebondspreads,Shiller's(log)cyclically-adjustedaggregateP/E(CAPE)ratios,monthlychangesinVIXoption-impliedvolatilityindex(△VIX),monthlygrowthratesoftheindustrialproductionindex(△IPt),andtheCFNAIindex.10WealsoincludetwoofFamaandFrench(1992)threefactors:size(SMB)andvaluepremium(HML),sincemarketfactor(CRSPvalue-weightedreturns)isoneofandTitman(1993)andChan,JegadeeshandLakonishok(1996)\reversalIfallφj=0,thenweonlyobservethepredictivepowerandtheabilityofEPUmeasuresinpowerofeitherEPUUSorEPUF.Ideally,weexpectεstobei.i.d.standardnormal.However,correlationandheteroscedasticity.Toaddressthisproblemandsimilartandserialcorrelation-consistent(HAC)standarderrorsfortheestimatedparameters.119Thisspeci?cationimpliesaholdingperiodofonemonth,rolledovertothenext.10TheCFNAIseriesdoesnothaveatime-trendcomponent.Otheroption-impliedmeasuresforheadlineequitypriceindexesinmajoreconomiesexist.Theseindexestendtocloselyco-movewithVIX,seeTable1.Asaresult,andtosavespace,weonlyreportresultsbasedonVIXasanalternativeaggregatevolatilityproxyinthisstudy.11SinceEPUmeasuresarelesspersistentthantypicallong-termpricingvariablessuchasP/EorP/Dratios(Section93.1AggregateexcessreturnsAsmentionedearlier,weexpectthattfthisassertionistrueandasu伍cipredictivepowerforEPUF–whichmeasurespolicyuncertaintyunrelatedtoU.S.news–forbroadequitymarketindexreturns.Ourgoalinthissectionistestingthishypothesis.WeshowthatEPUFVeronesi(2013)andBrogaardandDetzel(2015),whoalreadyestablishEPUUS’spredictiveability.andCRSPvalue-weighted,respectively).Wereportour?ndingsinTable4.Asinpreviousstofvalue-weightedCRSPportfolio,comprisingalltradedstocksintheNYSE/AMEX/NASDAQreturnsarealsopredictablebyEPUmeasures.12WeonlyreportslopeparametersforexplainingthevariationsincumulativeindethemodelwithcontrolsandthosewitWe?rstestablishthatEPUUSpredictsS&P500returnsatk=2to12andCRSPvalue-weightedBrogaardandDetzel(2015),respectively(notshown).Wenext?tequation(4)todata.InthepresenceofEPUUSandcontrolvariableslNasdaqreturnsarepredictablebyEPUFatk≥6andforCRSPvalue-weightedandS&P500returnsatk≥9.AbsentcontrolvariablesbutwithEPUUSstillpresent,theseresultsgenerallyhold,albeitatslightlylowersigni?cancelevels.EPUFpredictsRussell2000retuwhilethesereturnsarepredictablebyEPUUSandestimatedslopeparameters2.1),webelievethatNeweyandWest(1987)correctionstostandarderrorsaresu伍cienttoaddresstheissuesthatarisefromusingoverlappingreturns,generatedvariables,andseriallycorrelatedorheteroscedasticresidualsinpredictiveregressions.AsnotedinSection3.2,usingbootstrappedstandarderrorsasanalternativeremedydonotmateriallychangeourempirical?ndings.12NasdaqCompositeisavalue-weightedindexthattracksmorethan3,000?rmstradedontheNasdaqStockMarket.Theindexisdominatedbytechnologysectorwithabout50%weight,followedbyconsumerservicesandhealthcaresectorswithabout20and10%weights,respectively.kincreases.ThispatternisnotpresentforEPUF,whichimpliesthattheoppositemightholdforforeignpolicyuncertainty:thatEPUUSandsomecontrolvariablesaccountforpotentialEPUF’spredictabilityinshortechannelof?rmswithstatisticallysigni?cantexposuretotoappearin?rms’?nancialoroperationalcommunications,andmarket’sreaction,leadingtothepredictabilitypatternsdocumentedabove.Harveyetal.(2015).AdjustedR2sincreaseinkuniformly.Forpredictivehorizonswhereestimated1statisticallydiferentfromzero,EPUFandEPUUStogetherainreturns(Nasdaqatk=6andCRSPvalue-weightedatk=12,respectively).Thesevaluesarebasedonmodelswithnocontrolvariables,andthusadjusmeasuresinaccountingforvariationsinreturns.Onbalance,EPUFcontributestoabouthalfofEstimatedisforbothEPUandEPUaregenerallypositive-valued.Theseresultsarecon-thatinvestorsdemandpositiveexp?Sizemaynotbethesoledeterminingfactor.EPUFpredictsbothCRSPandS&P500returns.WhileS&P500returnsbyconstructionrepresentthelargestU.S.-listedcompanies,CRSPtraded?rms.Manylargecorporationsaremultinationalswithsigni?cantinternationalsales,notdiferentfromzero,while1sarestatisticallydiferentfromzerofork≥6regardlessofcontrolvariable’presence.ThisobservationmeansthatEPUFhasnotablepredictivepowerevidence(albeitmuchweaker)thatsmlongerhorizonsbyEPUF.Thus,webelievethatEPUFappearstopredictreturnsfora13Incontrast,asdocumentedbyCampbellandAmmer(1993)andPindyckandRotemberg(1993)amongmanyothers,thetimerequiredfordiscountrateshockstoafectpricesarenotablyshorter.thecharacteristicsofcompaniesthatareafectedbychangesinforeignpolicyuncertaintyin?TherearesimilaritiesandalsointriguingdiferencesinpatternsofpredictabilitybetweenEPUFandEPUUS.Basedonsimilarities,theyarebothuncertaintyfactorsthathavepredic-tivepowerforU.S.aggregatereturwithrespecttopredictionhorizonkandtheirinteractionswithcontrolvariablesmentionedabove,theyappeartooperateindiferenthorizonsandafectdiferentdriversofassetprices.andDetzel(2015),andimplythatEPUFpredictslonger-durationelementsofassetprices.?We?ndunambiguous,positive,andstatisticallysigni?cantrisk-returntradeofbetweencurrentlevelsofeconomicpolicyuncertaintyandfutureaggregatereturns.Inclusionofcommonpricingfactorsdoesnotweoftheestimatedslopeparametersaregenerallyinvarianttoincfactors.3.2RobustnesschecksforaggregatereturnsWecarryoutteststoassesstherostsandwethusconcludethatEPUFindeedpredictscumulativefresultsintheAppendix.First,aconcernisusinggeneratedvariisageneratedvariableanditsinclusionmayleadtounder-rejectionofthenullhypothesisthatβ=0.AcommonremedyistousebootstrappedstandarderrorsinconstructingStudent-tstatistics,insteadofNewey-Weststandarderrors.WefollowthePascual(2002)andgeneratebootstrappedstandarderrothestatisticalsigni?canceofEPUmeasestimatedslopeparametersforEPUF,,continuetoremainstatisticallydiferentfromzero.mentum)areadequatecontrolvariablesinestimatedmodelsandwhetherpredirobusttotheinclusionofinternationalpricingfactors.Sinceinternationalfactorsareavailablefactorstheirdeveloped-economycounterparts.Ourpredictiveresultsarerobusttotheinclusionof3.3Portfolioexcessreturnsexample,GulenandIon(2015)andGreenlandetal.(2019)showthathigherEPUisassociatedwithdeclinesincorporateinvestments,while,positionedtowithstandpolicyuncertaintyshthemmoreexposedtoforeignEPUshocks.Thus,arelevantquestioniswhether(foreign)EPUafectsfuturereturnsforhiconstructedalongcertain?rmcharacteristics,over1-monthTreasuryBillratestoisolatefeaturesthatsignalstocks’sensitivitytoEPUF.Tothisend,wetestwhetherforeignordomesticEinEPUmeasures’predictivepowerforparticulathebottomtercilesorquartiles.presentedinequation(4),?ttingittodatawherer,t+karereturnsonaparticularportion–orempirical?ndings. 14WealsoreportresultsforthefollowingfactorsintheAppendix:book-to-marketratio,operatingpro?tability,andidiosyncraticvolatility.percentportfolioreturns,comprisedofthelargestcompaniesbymarketvaluation,byEPUFfork≥9.Thebottom30percentportfolioreturnsdonotdisplaysuchpredictabilitybyEPUF,althoughEPUUSpredictsbothlargeandsmallcompanyportfolioreturnsatk≤9horizons.Thesizepremium,arenegativelypredictablebyEPUFatallhorizons(primarilyaproductofEPUFloadingsforsmall-sizeportfolioreturnsthatarenotstatisticallydiferentfromzero,andloadingsforlarge-sizeportfolioreturnsthatare).EPUUShasstatisticallysigni?cantandpositive-valuedloadingsforSMBportfolthechangeintotalassetsfromthe?scalyearendividedbyt-2totalassets.Thisisabroadde?nitionofinvestments.Westudycapital-expenditure-toforeignEPUshocks.investmentandsize(toisolatetheefectsof?rmsize)pcolumns.EstimatedslopeparametersforEPUFarepositive-valuedandstatisticallysigni?cantfinvestmentportfolioreturns.Forsixmonthsandabovehorizons,thediferencesbetweenEPUFsincetheEPUFloadingforlow-investmentportfolioreturnsisnotstatisticallydiferentfromzero,horizons,thediferencesbetweenEPUUSloadingsofpositiveandstatisticallysigni?cant,primarilydrivenbyrelativelyhighloadingoflow-investmentInthefaceofhigherEPUF,high-investment?rmsmayneedtopartiallyadjustinvestmentsinvestment?rmsarenotafectedbyhigherEPUF,asaresult,theircurrentequitypricesandexpectedreturnsremainlittlechanged.Incontrast,whenfacedwithalow-investment?rmstendtobeconstrainedinthatapanelof14countries(includingtheUni(2015)convincinglyestablisharobust,negativerelationshipand?rm-levelcapitalinvestment,CapEx,withthisrelationshipbeingstrongerfor?rmswithaEPUandfuturereturnsofhigh-andlow-CapEx?rms.Apriori,weexpectto?ndpatternssimilarWeinvestigatetheroleofcorporatecFama-Frenchapproach.Thevalueofinvestmentonplf30%andthemiddle40%).Wethen?tequation(4)usingCapExportfolioreturnsandreporttheresultsinTable7.EPUUSpredictsCapExportfolioreturnsfork≤3,andEPUFdoessofork>6.Incontrasttoournullhypothesis,we?ndlargerloadingsforlow-CapExreturnscomparedtohigh-CapEx.EPUFpredictiveresultsaresensitivetosizesorting,andarenotdetectedfors
溫馨提示
- 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁內(nèi)容里面會有圖紙預(yù)覽,若沒有圖紙預(yù)覽就沒有圖紙。
- 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
- 5. 人人文庫網(wǎng)僅提供信息存儲空間,僅對用戶上傳內(nèi)容的表現(xiàn)方式做保護(hù)處理,對用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對任何下載內(nèi)容負(fù)責(zé)。
- 6. 下載文件中如有侵權(quán)或不適當(dāng)內(nèi)容,請與我們聯(lián)系,我們立即糾正。
- 7. 本站不保證下載資源的準(zhǔn)確性、安全性和完整性, 同時也不承擔(dān)用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。
最新文檔
- 二零二五年度新能源空調(diào)及新風(fēng)系統(tǒng)改造與環(huán)保服務(wù)合同3篇
- 2025版門窗行業(yè)供應(yīng)鏈金融合作合同范本4篇
- 2025年度個人二手房購房合同范本及貸款服務(wù)協(xié)議
- 二零二五版汽車零部件采購軟件系統(tǒng)合同范本3篇
- 二零二五版模具研發(fā)與產(chǎn)業(yè)鏈整合服務(wù)協(xié)議3篇
- 2025年度路佳離婚協(xié)議書:婚姻解除及財產(chǎn)分配與子女撫養(yǎng)責(zé)任書4篇
- 2025年度房產(chǎn)交易墊資服務(wù)及稅費代繳合同4篇
- 2025年智能多功能打印機購銷合同定制版4篇
- 2025年度銷售業(yè)務(wù)員團(tuán)隊激勵與福利協(xié)議3篇
- 二零二五年考古發(fā)掘項目土方清理與保護(hù)合同3篇
- ZK24600型平旋盤使用說明書(環(huán)球)
- 城市基礎(chǔ)設(shè)施維修計劃
- 2024山西廣播電視臺招聘專業(yè)技術(shù)崗位編制人員20人歷年高頻500題難、易錯點模擬試題附帶答案詳解
- 新材料行業(yè)系列深度報告一:新材料行業(yè)研究框架
- 人教版小學(xué)英語各冊單詞表(帶英標(biāo))
- 廣東省潮州市潮安區(qū)2023-2024學(xué)年六年級上學(xué)期期末考試數(shù)學(xué)試題
- 鄉(xiāng)村治理中正式制度與非正式制度的關(guān)系解析
- 智能護(hù)理:人工智能助力的醫(yī)療創(chuàng)新
- 國家中小學(xué)智慧教育平臺培訓(xùn)專題講座
- 5G+教育5G技術(shù)在智慧校園教育專網(wǎng)系統(tǒng)的應(yīng)用
- VI設(shè)計輔助圖形設(shè)計
評論
0/150
提交評論