ashwath damodaran - short discussion on asset pricing model
DESCRIPTION
Asset pricing model - DamodaranTRANSCRIPT
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5/17/2015 Chapter3Derivations
http://pages.stern.nyu.edu/~adamodar/New_Home_Page/AppldCF/derivn/ch3deriv.html#ch3.1 1/3
DiscussionIssuesandDerivations
1. ADerivationoftheCapitalAssetPricingModelI.EstablishtheObjectsofChoice:MeanversusVarianceTheme:Investorsareriskaverse.Theymeasurerewardusingexpectedreturnandriskusingvariance.Underlyingassumptions:Themeanvarianceassumptioncanholdonlyif(a)allinvestorshavequadraticutilityfunctionor(b)returnsarenormallydistributed.Implication:PortfolioAwithhigherexpectedreturnandthesamevarianceasportfolioBwillbepreferredtoBII.BenefitsofDiversificationForanydesiredlevelofrisk(s)thereexistsaportfolioofseveralassetswhichyieldsahigherexpectedreturnthananyindividualsecurityE(Rp)=wiE(Ri)2p=wiwjCovijEfficientportfolios:maximizereturnsforanylevelofrisk.Implications:(a)Everybodyshoulddiversify(b)Investorsshouldtrytoidentifyandholdefficientportfolios(c)Thismethodhasveryheavycomputationalrequirements.III.TheSingleIndexModel:TheLogicalLimitofDiversificationAssumptions:(a)Riskfreelendingandborrowing(b)Marketswhicharefrictionlesstherearenotransactionscosts(c)HomogeneousexpectationsImplications:(1)Theriskyportfoliothanwhencombinedwiththerisklessassetmaximizesreturnsisthemarketportfolio.(2)Everybodyholdssomecombinationofthemarketportfolioandtheriskyasset.Howmuchofeachisheldwillbeafunctionoftheinvestor'sriskaversion.(3)Sinceallinvestorsholdthesamemarketportfolioitmustcontainallassetsintheeconomyinproportiontotheirvalue.IV.TheRiskofanIndividualAssetStep1:IndividualsdiversifyandholdportfoliosStep2:TheriskofasecurityistheriskitaddstotheportfolioStep3:EverybodyholdsthemarketportfolioStep4:Theriskofasecurityistheriskthatitaddstothemarketportfolio.Step5:Thecovariancebetweenanasset"i"andthemarketportfolio(Covim)isameasureofthisaddedrisk.Thehigherthecovariancethehighertherisk.Step6:Thismeasurecanbestandardizedbydividingbythemarketvariance.b=Covim/2m.
VariantsoftheCapitalAssetPricingModelI.NoRisklessAssetBasis:Ifnorisklessassetexistsinvestorscanuseaportfolioofriskyassetswhichisuncorrelatedwiththemarketportfolioinsteadastherisklessasset.Thisportfolioiscalledthezerobetaportfolio.PropertiesoftheZerobetaportfolio(1)Ofallthethezerobetaportfoliosthishastheminimumvariance(2)Theseparationprincipleappliesherewiththetwoportfolios,themarketportfolioandthezerobetaportfolio,i.e.allinvestorsholdcombinationsofthetwo.(3)Theexpectedreturnonanysecuritycanbeexpressedasalinearfunctionofitsbeta.E(Ri)=E(Rz)+(E(Rm)E(Rz))whereE(Rz)istheexpectedreturnonazerobetaportfolioII.RisklessLendingbutnoRisklessBorrowingBasis:(a)Thereisapiecewiselinearrelationshipbetweenexpectedreturnandbetaforefficientportfolios.(b)EfficientportfolioswiththeriskfreeassetliealongthesegmentRfTandthosecontainingonlyriskyassetsliesalongthesegmentTMC.
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5/17/2015 Chapter3Derivations
http://pages.stern.nyu.edu/~adamodar/New_Home_Page/AppldCF/derivn/ch3deriv.html#ch3.1 2/3
III.ExistenceofNonMarketableAssets(suchasHumanCapital)Theseparationprinciplestillholdsbut,(a)Investorsholddifferentportfoliosofriskyassetsdependingupontheportfoliosofnonmarketableassetsthattheypossess.(b)ThemarketpriceofriskincludesthevarianceofthemarketandthecovariancebetweenthemarketportfolioandtheportfolioofnonmarketableassetsIV.ExistenceofTaxesModel:Themodelconsidersdifferentialtaxesondividendsandcapitalgainsinaoneperiodcontextwhereinvestorsmaximizetheironeperiodreturns.ThefinalmodelforexpectedreturnhasadividendcomponentE(Ri)=a+i(E(Rm)Rf)+c(diRf)wheredi=DividendyieldonassetiRf=AftertaxriskfreerateV.ExistenceofHeterogeneousExpectationsandInformationModel:Togetstrongconclusionswehavetoassumethatallinvestorshaveacertainclassofutilityfunctions(ConstantAbsoluteriskaversion)andcompletemarkets(Atleastasmanyindependentsecuritiesasstates).
TestingtheCAPM:IssuesandDiscussionIssue1:TheCAPMcanneverbetestedbecausethemarketportfoliocanneverbeobservedCentraltotheCAPMistheconceptofamarketportfoliowhichincludeseveryassetintheeconomy.TotesttheCAPMthereforeonehastoobserveandbeabletomeasurethisefficientmarketportfolio.IfonecannotdosoonecannottesttheCAPM.OnecannotuseofaninefficientportfolioliketheS&P500ortheNYSE2000oreveneverystockintheeconomytoestimatebetasandtestforlinearity(likeallthestudieshavedone)because(a)ThebetasmeasuredagainstaninefficientportfolioaremeaninglessmeasuresandcannotbeusedtoacceptorrejecttheCAPMwhichisreallyatheoryaboutbetasmeasuredagainsttheefficientmarketportfolio(b)Foreveryinefficientportfoliothereexistsasetofbetaswhichwillsatisfythelinearitycondition.Issue2:TheCAPMisdifficulttotestonindividualassetsThenoisinessinbetaestimatesandthefactthattheCAPMyieldsexpectedreturnsforindividualassetsoverthelongtermmakesitdifficulttotesttheCAPMbytryingtorelateexpectedreturnsonindividualassets(suchasstocks)totheirbetas.WhatmosttestsoftheCAPMdoinsteadistolookatportfoliosofstocks,baseduponbetas,andthencomparethesebetastoexpectedreturnsinthenexttimeperiod.
MoreonFactorAnalysisandtheArbitragePricingModelCentraltoapplyingthearbitragepricingmodelistheuseofafactoranalysis.Inatypicalfactoranalysis,webeginwithpricingdataonalargenumberofassetsoververylongtimeperiods.Inthefactoranalysis,welookforfactorsthatseemtomovepricesonlargenumbersofassetsinunison.Topreventfactorsfrombeingdoublecounted,weensurethatthefactorsthatemergeareindependentofeachother.Whileallofthisoccursbehindthescreenofthefactoranalysis,whatemergesasoutputfromtheanalysisincludes:(a)thenumberofcommonfactorsthatappearedtoaffectassetpricesovertheperiodforwhichthedataisavailable(b)thebetasofeachassetrelativetoeachfactor,againusingthesamedata(c)the"riskpremiums"associatedwitheachfactorThesefactorbetasandfactorpremiumsarethenused,inconjunctionwithariskfreeratetogetanexpectedreturnforanasset.
EstimatingtheMacroEconomicFactorsinaMultiFactorModelOncethenumberoffactorshavebeenidentifiedinanarbitragepricingmodel,thetimeseriesbehaviorofeachfactorcanbederivedfromthefactoranalysis.Thesearchthenbeginsformacroeconomicfactorsthatexhibitthesametimeseriesbehavior.Oncemacroeconomicfactorshavebeenmatchedupwiththeunnamedfactorsinthefactoranalysis,thebetasofeachassetarereestimatedagainsttheidentifiedmacroeconomicfactors.Thebetaestimationmaybedonebyrunningamultiple
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5/17/2015 Chapter3Derivations
http://pages.stern.nyu.edu/~adamodar/New_Home_Page/AppldCF/derivn/ch3deriv.html#ch3.1 3/3
regressionofstockreturns(foreachstock)againstchangesinmacroeconomicvariables(suchasinterestrates,inflationratesandGNPgrowth)overtime.Thecoefficientsontheseregressionsyieldthebetas,andriskpremiumscanbeestimatedalsofromthehistoricaldata.
BuildingaRegressionModelGenerally,regressionmodelsbeginwiththecrosssectionaldifferencesinreturnsacrossstocksatanypointintime,andtrytoexplainthesedifferencesusingdifferencesonmeasurablefinancialcharacteristicsofthefirmsissuingtheseassets.Asanexample,FamaandFrench,intheirmuchquotedstudy,useddifferencesinmarketcapitalizationandpricetobookratiostoexplaindifferencesinreturnsacrossstocks.Themoredifficultquestionisdecidingwhichfinancialvariablestouseinexplainingreturns.ThebestplacetostartistolookattheempiricalevidencethathasbeenaccumulatedovertimeonmarketefficiencyandtheCAPM.ThisevidencesuggeststhatLowmarketcapitalizationstocksseemtoearnhigherreturns,onaverage,thanhighmarketcapitalizationstocksLowPE,PBVandPSratiostocksseemtoearnhigherreturns,onaverage,thanhighPE,PBVandPSratiostocksHighdividendyieldstocksseemtoearnhigherreturns,onaverage,thanlowdividendyieldstocksWhiletheinitialregressionmayincludeallofthesevariables,manyofthesevariablestendtobecorrelatedwitheachother.Thus,lowPEstockstendtoalsobelowPBVratiostockswhichpayhighdividends.Intheinterestsofefficiency(andtopreventproblemsintheregressionfromindependentvariablesbeingcorrelatedwitheachother),itmakessensetousethemeasurethatismosthighlycorrelatedwithreturnsanddroptheothers.Thus,theuseofpricetobookvalueratiosbyFamaandFrench.
Whynotusebondbetastoarriveatthecostofdebt?Giventhatweusestockbetastoarriveatexpectedreturnsforstocks,thequestionmayariseastowhywedonotusebondbetastogetexpectedreturnsforbonds.Thereasonliesintheabsenceorpresenceofsymmetryinreturnsforeachoftheseassetclasses.Stocks,whichhavepotentiallyunlimitedupsidepotentialaswellassignificantdownsidepotential,havemuchmoresymmetricreturnsthanbonds.Thus,theytendtofitinmuchmorecleanlyintothemeanvarianceframeworkthandobonds.Corporatebondshavesomeupsidepotential,butitislimitedbythefactthatbondscanatbestbecomedefaultfree.Thus,theupsidepotentialforaAAratedbondisfairlylimited.Consequently,theriskmeasurethatwehavetousehastobeadownsideriskmeasure,whichiswhatdefaultriskandratingsmeasure.Clearly,thelowertheratingofabond,thegreatertheupsidepotential,andthus,thegreaterthelikelihoodthatwecanestimatebondbetasandexpectedreturnsonthem.Forajunkbond,forinstance,itmaybepossibletoestimateabetalikeastockbetaandgetanexpectedreturnfromit.
CreditScoresasAlternativestoBondRatingsBondratingsareatoolthatweusetomeasuredefaultriskandarriveatacostofdebt.Lenders(suchasbanks)havehistoricallyusedcreditscoresasameasureofdefaultrisk,especiallywhenlendingtoindividualsandprivatebusinessess.Acreditscoreisderivedbymeasuringhowaborrowerscoresonavarietyofmeasures,whichovertimehavebeencorrelatedwithdefaultrisk.