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CHAPTERSINDEXMODELS
CHAPTER8:INDEXMODELS
PROBLEMSETS
1.Theadvantageoftheindexmodel,comparedtotheMarkowitzprocedure,isthe
vastlyreducednumberofestimatesrequired.Inaddition,thelargenumberof
estimatesrequiredfortheMarkowitzprocedurecanresultinlargeaggregate
estimationerrorswhenimplementingtheprocedure.Thedisadvantageoftheindex
modelarisesfromthemodel'sassumptionthatreturnresidualsareuncorrelated.
Thisassumptionwillbeincorrectiftheindexusedomitsasignificantriskfactor.
2.Thetrade-offentailedindepartingfrompureindexinginfavorofanactively
managedportfolioisbetweentheprobability(orthepossibility)ofsuperior
performanceagainstthecertaintyofadditionalmanagementfees.
3.Theanswertothisquestioncanbeseenfromtheformulasforw°(equation8.20)
andw*(equation8.21).Otherthingsheldequal,w°issmallerthegreaterthe
residualvarianceofacandidateassetforinclusionintheportfolio.Further,wesee
thatregardlessofbeta,whenw°decreases,sodoesw*.Therefore,otherthings
equal,thegreatertheresidualvarianceofanasset,thesmalleritspositioninthe
optimalriskyportfolio.Thatis,increasedfirm-specificriskreducestheextentto
whichanactiveinvestorwillbewillingtodepartfromanindexedportfolio.
4.Thetotalriskpremiumequals:a+(「xmarketriskpremium).Wecallalphaa
“nonmarket“returnpremiumbecauseitistheportionofthereturnpremiumthatis
independentofmarketperformance.
TheSharperatioindicatesthatahigheralphamakesasecuritymoredesirable.
Alpha,thenumeratoroftheSharperatio,isafixednumberthatisnotaffectedby
thestandarddeviationofreturns,thedenominatoroftheSharperatio.Hence,an
increaseinalphaincreasestheSharperatio.Sincetheportfolioalphaisthe
portfolio-weightedaverageofthesecurities?alphas,then,holdingallother
parametersfixed,anincreaseinasecurity'salpharesultsinanincreaseinthe
portfolioSharperatio.
8-4
CHAPTERSINDEXMODELS
5.a.Tooptimizethisportfolioonewouldneed:
n=60estimatesofmeans
n=60estimatesofvariances
n2-n.
---=1,770estimatesofcovariances
Therefore,intotal:--~~~=1,890estimates
b.Inasingleindexmodel:n-rf=ai+pi(rM—rf)+ei
Equivalently,usingexcessreturns:Ri=ai+0iRM+ei
Thevarianceoftherateofreturncanbedecomposedintothecomponents:
(1)Thevarianceduetothecommonmarketfactor:
(2)Thevarianceduetofirmspecificunanticipatedevents:(52(6;)
Inthismodel:Cov&jj)=艮BQ
Thenumberofparameterestimatesis:
n=60estimatesofthemeanE(u)
n=60estimatesofthesensitivitycoefficient0i
n=60estimatesofthefirm-specificvariancea2(ej)
1estimateofthemarketmeanE(TM)
1estimateofthemarketvariance
Therefore,intotal,182estimates.
Thesingleindexmodelreducesthetotalnumberofrequiredestimatesfrom
1,890to182.Ingeneral,thenumberofparameterestimatesisreducedfrom:
n2+3n
to(3n+2)
2
6.a.Thestandarddeviationofeachindividualstockisgivenby:
2l/2
6=[俾%+o(ei)]
Since0A=0.8,PB=1.2,o(eA)=30%,O(CB)=40%,andOM=22%,weget:
GA=(0.82x222+302嚴=34.78%
OB=(1.22X222+402)1/2=47.93%
8-4-
CHAPTER&INDEXMODELS
b.Theexpectedrateofreturnonaportfolioistheweightedaverageofthe
expectedreturnsoftheindividualsecurities:
E(rp)=WAxE(FA)+WBXE(FB)+WfXrf
E(FP)=(0.30x13%)+(0.45x18%)+(0.25x8%)=14%
Thebetaofaportfolioissimilarlyaweightedaverageofthebetasofthe
individualsecurities:
PP=WAxpA+WBX0B+WfX0(-
PP=(0.30x0.8)+(0.45x1.2)+(0.25x0.0)=0.78
Thevarianceofthisportfoliois:
2
whereisthesystematiccomponentanda(ep)isthenonsystematic
component.Sincetheresiduals(ei)areuncorrelated,thenon-systematic
varianceis:
X/⑸)+X2X4(%)
/(%)=戌伺a(eB)+用
=(0.302x302)+(0.452x402)+(0.252x())=405
whereO2(CA)andO2(CB)arethefirm-specific(nonsystematic)variancesof
StocksAandB,ando2(ef),thenonsystematicvarianceofT-bills,iszero.
Theresidualstandarddeviationoftheportfolioisthus:
,/2
a(ep)=(405)=20.12%
Thetotalvarianceoftheportfolioisthen:
Qp=(0.782X222)+405=699.47change699.47to697.3
Thetotalstandarddeviationis26.41%.
7.a.Thetwofiguresdepictthestocks9securitycharacteristiclines(SCL).Stock
Ahashigherfirm-specificriskbecausethedeviationsoftheobservations
fromtheSCLarelargerforStockAthanforStockB.Deviationsare
measuredbytheverticaldistanceofeachobservationfromtheSCL.
b.BetaistheslopeoftheSCL,whichisthemeasureofsystematicrisk.The
SCLforStockBissteeper;henceStockB'ssystematicriskisgreater.
8-4
CHAPTERSINDEXMODELS
c.TheR2(orsquaredcorrelationcoefficient)oftheSCListheratioofthe
explainedvarianceofthestock'sreturntototalvariance,andthetotal
varianceisthesumoftheexplainedvarianceplustheunexplainedvariance
(thestock9sresidualvariance):
R2
SincetheexplainedvarianceforStockBisgreaterthanforStockA(the
explainedvariance,whichisgreatersinceitsbetaishigher),andits
22
residualvariancecr(eff)issmaller,itsRishigherthanStockA's.
d.AlphaistheinterceptoftheSCLwiththeexpectedreturnaxis.StockAhasa
smallpositivealphawhereasStockBhasanegativealpha;hence,StockA's
alphaislarger.
e.ThecorrelationcoefficientissimplythesquarerootofR2,soStockB's
correlationwiththemarketishigher.
8.a.Firm-specificriskismeasuredbytheresidualstandarddeviation.Thus,stock
Ahasmorefirm-specificrisk:10.3%>9.1%
b.Marketriskismeasuredbybeta,theslopecoefficientoftheregression.Ahas
alargerbetacoefficient:1.2>0.8
c.R2measuresthefractionoftotalvarianceofreturnexplainedbythemarket
return.A'sR2islargerthanB's:0.576>0.436
d.RewritingtheSCLequationintermsoftotalreturn(r)ratherthanexcess
return(R):
rA-rf=a+/x(3一。)二
G=a+「x(l-0+£x%
Theinterceptisnowequalto:
a+0x(1-7?)=1%+ox(1-1.2)
Sincerf=6%,theinterceptwouldbe:1%+6%(1-1.2)=1%-1.2%=-0.2%
8-4
CHAPTER&:INDEXMODELS
9.Thestandarddeviationofeachstockcanbederivedfromthefollowing
equationforR2:
PHExplainedvariance
R;
2:—-Totalvariance
Therefore:
oA=31.30%
ForstockB:
卡=4,800
%69.28%
10.ThesystematicriskforAis:
禺xq;=0.702x202=196
Thefirm-specificriskofA(theresidualvariance)isthedifferencebetween
A'stotalriskanditssystematicrisk:
980-196=784
ThesystematicriskforBis:
區(qū)xbj=1.202X202=576
B'sfirm-specificrisk(residualvariance)is:
4800-576=4224
11.ThecovariancebetweenthereturnsofAandBis(sincetheresidualsareassumed
tobeuncorrelated):
Cov(rA,rB)=pAPBo^=0.70x1.20x400=336
ThecorrelationcoefficientbetweenthereturnsofAandBis:
pAB=5(53)=——336——=0155
AB
oAoB31.30x69.28
8-4
GHAPIERSINDEXMODELS
12.NotethatthecorrelationisthesquarerootofR2:p=
=0.20,/2x31.30x20=280
Cov(rArM)=pc8
=0.1212x69.28x20=480
Cov(rBrM)=
13.ForportfolioPwecancompute:
op=[(0.62x980)+(0.42x4800)+(2x0.4x0.6x336)]1/2=[1282.08]1/2=35.81%
pp=(0.6x0.7)+(0.4x1.2)=0.90
0/)=0:-限j=1282.08-(0.902X400)=958.08
Cov(rp,rM)=pp。:=0.90x400=360
Thissameresultcanalsobeattainedusingthecovariancesoftheindividualstocks
withthemarket:
Cov(rp,rM)=Cov(0.6rA+0.4FB,FM)=0.6xCov(tA,FM)+0.4xCOV(FBJM)
=(0.6x280)+(0.4x480)=360
14.NotethatthevarianceofT-billsiszero,andthecovarianceofT-billswithanyasset
iszero.Therefore,forportfolioQ:
BQ=[wjbb+w/+2xwpxwMxCov(rp,rM)]
=[(0.52x1,282.08)+(0.32x400)+(2x().5x().3x36())[=21.55%
=(0.5x0.90)+(0.3xl)+(0.20x0)=0.75
PQ=wp/3p+wM0M
22
a(eQ)=《一后£=464.52-(0.75x400)=239.52
Cov(rQ,rM)-=0.75X400=300
15.a.BetaBooksadjustsbetabytakingthesampleestimateofbetaandaveragingit
with1.0,usingtheweightsof2/3and1/3,asfollows:
adjustedbeta=[(2/3)x1.24]+[(1/3)x1.0]=1.16
b.IfyouuseyourcurrentestimateofbetatobePt_|=1.24,then
pt=0.3+(0.7x1.24)=1.168
8-4
CHAPTERSINDEXMODELS
16.ForStockA:
aA=rA-[rf+/?4x{rM-/y)]=.11-[.06+0.8x(.12-.06)]=0.2%
ForstockB:
aB="—1號+0B義CM.0)]=.14-[.06+1.5x(.12-.06)]=-1%
StockAwouldbeagoodadditiontoawell-diversifiedportfolio.Ashortposition
inStockBmaybedesirable.
17.a.
Alpha(a)Expectedexcessreturn
aj=rj-[rf+.x(FM-rf)]E(n)-rf
aA=20%-[8%+1.3x(16%-8%)]=1.6%20%-8%=12%
aB=18%-[8%+1.8x(16%-8%)]=-4.4%18%-8%=10%
ac=17%-[8%+0.7x(16%-8%)]=3.4%17%-8%=9%
aD=12%-[8%+1.0x(16%-8%)]=-4.0%12%-8%=4%
StocksAandChavepositivealphas,whereasstocksBandDhave
negativealphas.
Theresidualvariancesare:
O2(CA)=582=3,364
Q2(CB)=712=5,041
c2(ec)=602=3,600
Q2(CD)=552=3,025
8-4
CHAPTERSINDEXMODELS
b.Toconstructtheoptimalriskyportfolio,wefirstdeterminetheoptimalactive
portfolio.UsingtheTreynor-Blacktechnique,weconstructtheactiveportfolio:
aa/(J??
o2(e)Sa/n2(e)
A0.000476-0.6142
B-0.0008731.1265
c0.000944-1.2181
D-0.0013221.7058
Total-0.0007751.0000
Beunconcernedwiththenegativeweightsofthepositiveastocks—theentire
activepositionwillbenegative,returningeverythingtogoodorder.
Withtheseweights,theforecastfortheactiveportfoliois:
a=[-0.6142x1.6]+[1.1265x(-4.4)]-[1.2181x3.4]+[1.7058x(-4.0)]
=-16.90%
P=[-0.6142x1.3]+[1.1265x1.8]-[1.2181x0.70]+[1.7058xl]=2.08
Thehighbeta(higherthananyindividualbeta)resultsfromtheshort
positionsintherelativelylowbetastocksandthelongpositionsinthe
relativelyhighbetastocks.
c2(e)=[(-0.6142)2x3364]+[1.12652x5041]+[(-1.2181)2x3600]+[1.70582x3025]
=21,809.6
a(e)=147.68%
TheleveredpositioninB[withhigho2(e)]overcomesthediversification
effect,andresultsinahighresidualstandarddeviation.Theoptimalrisky
portfoliohasaproportionw'intheactiveportfolio,computedasfollows:
a/a2(e)-.1690/21,809.6
%=--------r=-0.05124
.08/23?
Thenegativepositionisjustifiedforthereasonstatedearlier.
Theadjustmentforbetais:
-0.05124
=-0.0486
1+(1-P)wo1+(1-2.08)(-0.05124)
Sincew*isnegative,theresultisapositivepositioninstockswithpositive
alphasandanegativepositioninstockswithnegativealphas.Thepositionin
theindexportfoliois:
1-(-0.0486)=1.0486
8-4
CHAPTER8INDEXMODELS
c.TocalculateSharpe'smeasurefortheoptimalriskyportfolio,wecomputethe
informationratiofortheactiveportfolioandSharpe'smeasureforthemarket
portfolio.Theinformationratiofortheactiveportfolioiscomputedasfollows:
nr
A=——=-16.90/147.68=-0.1144
cr(e)
A2=0.0131
Hence,thesquareofSharpe'smeasure(S)oftheoptimizedriskyportfoliois:
S2=S;+A2=怎]+0.0131=0.1341
S=0.3662
Comparethistothemarket'sSharpemeasure:
SM=8/23=0.3478->Adifferenceof:0.0184
Theonly-moderateimprovementinperformanceresultsfromonlyasmall
positiontakenintheactiveportfolioAbecauseofitslargeresidualvariance.
d.Tocalculatethemakeupofthecompleteportfolio,firstcomputethebeta,the
meanexcessreturnandthevarianceoftheoptimalriskyportfolio:
0P=WM+(WAxPA)=1.0486+[(-0.0486)x2.08]=0.95
E(RP)=aP+PPE(RM)=[(-0.0486)x(-16.90%)]+(0.95x8%)=8.42%
222
Qp=+a(ep)=(0.95x23)+((-0.0486)x21,809.6)=528.94
%=23.00%
SinceA=2.8,theoptimalpositioninthisportfoliois:
8.42
=0.5685
0.01x2.8x528.94
Incontrast,withapassivestrategy:
y=------------------=0.5401-Adifferenceof:0.0284
0.01x2.8x232
Thefinalpositionsare(MmayincludesomeofstocksAthroughD):
Bills1-0.5685=43.15%
M0.5685x1.0486=59.61%
A0.5685x(-0.0486)x(-0.6142)=1.70%
B0.5685x(-0.0486)x1.1265=-3.11%
c0.5685x(-0.0486)x(-1.2181)=3.37%
D0.5685x(-0.0486)x1.7058=-4.71%
8-4
CHAPTER&INDEXMODELS
(subjecttoroundingerror)100.00%
18.a.Ifamanagerisnotallowedtosellshorthewillnotincludestockswithnegative
alphasinhisportfolio,sohewillconsideronlyAandC:
a
A?(e)a/a2(e)
o2(e)
Sa/n2(e)
A1.63,3640.0004760.3352
c3.43,6000.0009440.6648
0.00142()1.0000
Theforecastfortheactiveportfoliois:
a=(0.3352x1.6)+(0.6648x3.4)=2.80%
p=(0.3352x1.3)+(0.6648x0.7)=0.90
c2(e)=(0.33522x3,364)+(0.66482x3,600)=1,969.03
o(e)=44.37%
Theweightintheactiveportfoliois:
a/o2(e)2.80/1,969.03,
w()=--------------=-----------;-----=0n.0n9Q40n
E(RM)/O:8/232
Adjustingforbeta:
0.094
=0.0931
1+(1-P)wo1+[(1-0.90)x0.094]
Theinformationratiooftheactiveportfoliois:
2.80
=0.0631
b(e)44.37
Hence,thesquareofSharpe'smeasureis:
s2+0.06312=0.1250
Therefore:S=0.3535
Themarket9sSharpemeasureis:SM=0.3478
Whenshortsalesareallowed(Problem17),themanager'sSharpemeasureis
higher(0.3662).ThereductionintheSharpemeasureisthecostoftheshort
salerestriction.
8-4
CHAPTER8"INDEXMODELS
Thecharacteristicsoftheoptimalriskyportfolioare:
8-4
CHAPTERqINDEXMODELS
Mx4=(1—0.0931)+(0.0931x0.9)=0.99
E0)=ctp+/3PxE(RM)=(0.093lx2.8%)+(0.99x8%)=8.18%
222
b:=區(qū)XG+(7(ep)=(0.99X23)+(0.0931x1969.03)=535.54
=23.14%
WithA=2.8,theoptimalpositioninthisportfoliois:
8.18
y==0.5455
0.01x2.8x535.54
Thefinalpositionsineachassetare:
Bills1-0.5455=45.45%
M0.5455x(1-0.0931)=49.47%
A0.5455x0.0931x0.3352=1.70%
C0.5455x0,0931x0.6648=3.38%
100.00%
b.Themeanandvarianceoftheoptimizedcompleteportfoliosinthe
unconstrainedandshort-salesconstrainedcases,andforthepassivestrategyare:
E(Rc)Qc
Unconstrained0.5685x8.42%=4.790.56852x528.94=170.95
Constrained0.5455x8.18%=4.460.54552x535.54=159.36
Passive0.5401x8.00%=4.320.54012x529.00=154.31
Theutilitylevelsbelowarecomputedusingtheformula:E(rc)-0.005Aa1
Unconstrained8%+4.79%-(0.005x2,8x170.95)=10.40%
Constrained8%+4.46%-(0.005x2.8x159.36)=10.23%
Passive8%+4.32%-(0.005x2.8x154.31)=10.16%
8-4
CHAPTER8INDEXMODELS
19.Allalphasarereducedto0.3timestheirvaluesintheoriginalcase.Therefore,the
relativeweightsofeachsecurityintheactiveportfolioareunchanged,butthealpha
oftheactiveportfolioisonly0.3timesitspreviousvalue:0.3x-16.90%=-5.07%
Theinvestorwilltakeasmallerpositionintheactiveportfolio.Theoptimalrisky
portfoliohasaproportionwintheactiveportfolioasfollows:
alcr(e)-0.0507/21,809.6
------------------------=—U.U1/
2
EG-iy)1bli().08/23
Thenegativepositionisjustifiedforthereasongivenearlier.
Theadjustmentforbetais:
-0.01537_______
=-0.0151
1+(1—P)w°1+[(1-2.08)x(-0.01537)]
Sincew*isnegative,theresultisapositivepositioninstockswithpositivealphas
andanegativepositioninstockswithnegativealphas.Thepositionintheindex
portfoliois:1-(-0.0151)=1.0151
TocalculateSharpe'smeasurefbrtheoptimalriskyportfoliowecomputethe
informationratiofbrtheactiveportfolioandSharpe'smeasurefbrthemarketportfolio.
Theinformationratiooftheactiveportfoliois().3timesitspreviousvalue:
2
A==Z12Z_=_O,O343andA=0.00118
b(e)147.68
Hence,thesquareofSharpe'smeasureoftheoptimizedriskyportfoliois:
S2=S2M+A2=(8%/23%)2+0.00118=0.1222
S=0.3495
8%
Comparethistothemarket9sSharpemeasure:SM=-----=0.3478
23%
Thedifferenceis:0.0017
Notethatthereductionoftheforecastalphasbyafactorof0.3reducedthesquared
informationratioandtheimprovementinthesquaredSharperatiobyafactorof:
0.32=0.09
20.Ifeachofthealphaforecastsisdoubled,thenthealphaoftheactiveportfoliowill
alsodouble.Otherthingsequal,theinformationratio(IR)oftheactiveportfolio
alsodoubles.ThesquareoftheSharperatiofortheoptimizedportfolio(S-square)
equalsthesquareoftheSharperatiofbrthemarketindex(SM-square)plusthe
squareoftheinformationratio.Sincetheinformationratiohasdoubled,itssquare
quadruples.Therefore:S-square=SM-square+(4xIR)
ComparedtothepreviousS-square,thedifferenceis:3IR
Nowyoucanembarkonthecalculationstoverifythisresult.
8-4-
CHAPTER&INDEXMODELS
CFAPROBLEMS
1.Theregressionresultsprovidequantitativemeasuresofreturnandriskbasedon
monthlyreturnsoverthefive-yearperiod.
PforABCwas0.60,considerablylessthantheaveragestock's0of1.0.This
indicatesthat,whentheS&P500roseorfellby1percentagepoint,
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