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EquityPortfolio
Management
&)$й㓗ษ䇝亩ⴞ
䇢ᐸ˖%RE+RQJ
1-21
1.BuildingBlocks
UsedinPortfolio
Construction
2-21
BuildingBlocksUsedinPortfolioConstruction
¾Thethreemainbuildingblocksofportfolioconstructionare:
zFactorweightings.
zAlphaskills.
zPositionsizing.
¾Thesethreebuildingblocksareintegratedintoasuccessfulportfolio
constructionprocessthroughafourthcomponent:breadthofexpertise.
3-21
BuildingBlocksUsedinPortfolioConstruction
¾FirstBuildingBlock:Overweight/UnderweightRewardedFactors
zThisrelatestothemanagertakingexposurestorewardedrisksthat
differfromthoseofthebenchmark.Thiscanbethoughtofasactive
returnduetodifferencesinbeta.
zWithexposurestorewardedfactorsincreasinglyaccessibleviarules-
basedindexproducts,simplestaticexposuretorewardedfactorsisno
longerwidelyconsideredasourceofalpha.
zIrrespectiveofthemanager’sapproach,whethertheyexplicitlytarget
factorexposuresortargetindividualsecurities,theirperformancecanin
partbeattributedtosensitivitytothesebetafactors.
zThisbuildingblockrelatesprimarilytoactivereturnsourcenumberone:
differencesinexposurestolong-termrewardedfactors.
4-21
BuildingBlocksUsedinPortfolioConstruction
¾SecondBuildingBlock:AlphaSkills
zAlphaskillsareexcessreturnsrelatedtotheuniqueskillsandstrategies
ofthemanager.
9Amanagercangeneratealphathroughfactortiming,whichisskill
inidentifyingwhenafactormightoutperform/underperformits
averagereturn.
9Thiscouldapplytoarewardedfactor,butitcouldalsoapplyto
unrewardedfactors,suchascorrectlytiminggeographicalor
industrysectorexposures,commodityprices,orevensecurity
selection(adiscretionarymanagermightrefertotheseasthematic
exposures).
zThisbuildingblockrelatesprimarilytoactivereturnsourcenumbertwo:
identifyingmispricings.
5-21
BuildingBlocksUsedinPortfolioConstruction
¾ThirdBuildingBlock:SizingPositions
zPositionsizingbalancesmanagers’confidenceintheiralphaandfactor
insightswhilemitigatingidiosyncraticriskscomingfromconcentrated
positions.
zPositionsizingwillaffectallthreesourcesofactiverisk,butthemost
dramaticimpactwillbeonidiosyncraticrisk.
9Thegeneralruleisthatsmallerpositionsinagreaternumberof
securitieswilldiversifyawayidiosyncraticriskandleadtolower
portfoliovolatility.
zAfactor-orientatedmanagerwhospreadstheirportfolioacrossmany
assetsislikelytominimizetheimpactofidiosyncraticrisk.
zAstock-pickerislikelytoholdmoreconcentratedpositionsbasedon
theirinsightsintoindividualsecurities,andhence,deliberatelyassumea
higherdegreeofidiosyncraticrisk.
6-21
2.ActiveShare
andActiveRisk
7-21
ActiveShareandActiveRisk
¾ActiveSharemeasuresthedegreetowhichthenumberandsizingofthe
positionsinamanager’sportfolioaredifferentfromthoseofabenchmark,
andisgivenbythefollowingequation:
N
1
ActiveShare=̮Weightportfolio,i−Weightbenchmark,i̮
2
i=1
zActiveSharetakesavaluebetween0and1.IfaportfoliohasanActive
Shareof0.5,wecanconcludethat50%oftheportfolioisidenticalto
thatofthebenchmarkand50%isnot.
zIftwoportfolioswiththesamebenchmarkinvestonlyinbenchmark
securities,theportfoliowiththefewersecuritiesandthereforehigher
degreeofconcentrationinpositionswillhaveahigherlevelofActive
Share.
8-21
ActiveShareandActiveRisk
¾Activerisk,alsocalledtrackingerror,isthestandarddeviationofactive
returns(portfolioreturnsminusbenchmarkreturns).Asanequation:
2
e
ߪோ
ൌ
ߪ2(∑(β−β)ØFk)+ߪ
pkbk
¾Researchconclusionsonthecompositionofactivereturninclude:
zHighnetexposuretoariskfactorleadstohighlevelofactiverisk.
zAportfoliowithnonetfactorexposurewillhaveactiveriskattributed
entirelytoActiveShare.
zActiveriskattributabletoActiveShareisinverselyproportionaltothe
numberofsecuritiesintheportfolio.
zActiveriskincreasesasfactorandidiosyncraticrisklevelsincrease.
9-21
ActiveShareandActiveRisk
InvestmentStyle
Description
ActiveShareandActiveRisk
Noactivepositions:portfolioZeroActiveShareandzero
Pureindexing
isequaltothebenchmark
activerisk
Noactivefactorbets—
idiosyncraticrisklowif
diversified
Lowactiverisk—ActiveShare
lowifdiversified
Factorneutral
Balancedexposuretorisk
factorsandminimized
Reasonablylowactiverisk—high
ActiveShare
Factordiversifiedidiosyncraticriskthroughhighfromlargeamountofsecurities
numberofsecuritiesin
portfolio
usedthatare
unlikelytobeinthebenchmark
Targetedfactorbets—
idiosyncraticrisklikelytobe
high
Concentrated
factorbets
HighActiveShareandhigh
activerisk
Concentrated
stockpicker
Targetedindividualstock
bets
HighestActiveShareand
highestactiverisk
10-21
ActiveShareandActiveRisk
¾InvestmentStyles,ActiveShare,andActiveRisk
11-21
ActiveShareandActiveRisk
¾Managerstylescanalsobeidentifiedthroughobservingtheirsectorand
securityspecificconstraints.Forexample:
zAsectorrotatorwouldneedtohavelargepermitteddeviationsinsector
weights;
zAstockpickerwouldneedtohavelargepermitteddeviationsin
individualsecurityweights;
zAdiversifiedmulti-factorinvestorwouldnotneedsuchlargedeviations
fromindexweights,butwouldstillneedsomeflexibilityinorderto
generateamoderatelevelofactiveriskandreturn.
12-21
3.Allocatingthe
RiskBudgeting
13-21
AllocatingtheRiskBudgeting
¾Riskbudgetingisaprocessbywhichthetotalriskofaportfoliois
allocatedtoconstituentsoftheportfoliointhemostefficientmanner.Itis
anintegralpartofaneffectiveriskmanagementprocess.Aneffectiverisk
managementprocesshasthefollowingfoursteps:
zDeterminewhichtypeofriskmeasureisappropriategiventhefund
mandate.
9Absoluteriskmeasuresareappropriatewhentheinvestment
objectiveisexpressedintermsoftotalreturns.
9Relativeriskmeasuresareappropriatewhentheinvestment
objectiveistooutperformamarketindex.
zUnderstandhoweachaspectofthestrategycontributestorisk.
zDeterminewhatlevelofriskbudgetisappropriate.
zProperlyallocateriskamongindividualpositions/factors.
14-21
AllocatingtheRiskBudgeting
¾CausesandSourcesofAbsoluteRisk
zAbsoluteriskmeasuresfocusonthesizeandcompositionofabsolute
portfoliovariance.Thecalculationoftotalportfoliovariance(V):
p
ܸൌݔݔܥ
ୀଵୀଵ
zInotherwords,theportfoliovarianceisthesumofeachasset’s
contributiontoportfoliovariance.Thecontributionofassetito
portfoliovariance(CV)isgivenbytheequation:
i
ܥܸൌݔݔܥൌݔܥ
ୀଵ
9ݔ=assetj’sweightintheportfolio
9ܥ=thecovarianceofreturnsbetweenassetiandassetj
9ܥ=thecovarianceofreturnsbetweenassetiandtheportfolio
15-21
AllocatingtheRiskBudgeting
¾CausesandSourcesofRelative/ActiveRisk
zRelativeriskbecomesanappropriatemeasurewhenthemanageris
concernedwithherperformancerelativetoabenchmark.Onemeasure
ofrelativeriskisthevarianceoftheportfolio’sactivereturn(AV):
p
ܣܸൌሺݔെܾሻݔെܾ݆ܴܥ
ୀଵୀଵ
9x=theasset’sweightintheportfolio
i
9b=thebenchmarkweightinasseti
i
9ܴܥ=thecovarianceofrelativereturnsbetweenassetiandassetj
zThecontributionofeachassettotheportfolioactivevariance(CAV)is
i
ܣܥܸൌݔെܾܴܥ
9RCisthecovarianceofrelativereturnsbetweenassetiandthe
ip
portfolio.
16-21
AllocatingtheRiskBudgeting
¾Theimportantpointstonoteare:
zContributiontoactivevarianceisafunctionofactiverisknotabsolute
standarddeviation.
9E.g.Whilecashhasaverylowstandarddeviation,ithasanactive
risktwicethatoftheindexescomprisingthebenchmarkduetothe
lowcorrelationofcashversusthebenchmark.Thisleadstocash
contributingto100%oftheactivevariance.
zThecorrelationoftheactivereturnsofindexAandindexBis–1.Thisis
becausethebenchmarkisanequallyweightedaverageofthetwo
indices—whenoneisoutperformingthebenchmark(sohaspositive
activereturns)thentheothermustbeunderperformingthebenchmark
(givingnegativeactivereturns).
17-21
Example:Absoluteriskattribution
¾Aportfoliohasthefollowingcharacteristics
PortfolioWeight
StandardDeviation
AssetA
AssetB
AssetC
Portfolio
40%
50%
20%
12%
10%
6%
100%
11.92%
Covariance
AssetA
AssetB
AssetC
AssetA
AssetB
AssetC
0.040000
0.009600
0.002400
0.009600
0.014400
0.001440
0.002400
0.001440
0.003600
¾CalculatetheabsolutecontributiontoportfoliovarianceofassetA.
¾Giventhatthetotalvarianceis0.014212,calculatetheproportionoftotal
portfoliovariancecontributedbyAssetA.
18-21
Example:AbsoluteRiskAttribution
¾1.CovarianceofreturnsbetweenassetAandtheportfolio:
WeightofAssetAhWeightofAssetAh
0.40h0.40h0.04
CovarianceofAssetAwithAssetA
+WeightofAssetAhWeightofAssetBh
0.40h0.50h0.0096
CovarianceofAssetBwithAssetA
+WeightofAssetAhWeightofAssetCh
+0.40h0.10h0.0024
CovarianceofAssetCwithAssetA
=AssetA’scontributiontototalportfoliovariance
=0.008416
¾2.TheproportionoftotalportfoliovariancecontributedbyAssetAis,
therefore,0.008416/0.014212=59.22%.
19-21
Example:Factor-basedriskbudgeting
¾Thefollowingtablepresentstherisk-factorcoefficientsand
variance/covariancematrixforamanagerrunningaportfoliousing
atwo-factormodel(marketandsize)
Coefficient
Market
Size
Valu
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