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2019LevelIISampleExamAM(M3)
Themorningsessionofthe2019LevelIICharteredFinancialAnalyst®Sample
Examinationhas60questions.Tobestsimulatetheexamdayexperience,candidates
areadvisedtoallocateanaverageof18minutesperitemset(vignetteand6multiple
choicequestions)foratotalof180minutes(3hours)forthissessionoftheexam.
Questions
7–12
Topic
Minutes
15
QuantitativeMethods
FixedIncome
Derivatives
Total:
49–54
55–60
15
15
45
ByaccessingthisSampleexam,youagreetothefollowingtermsofuse:ThisSample
examisprovidedtocurrentlyregisteredCFAcandidates.Candidatesmayviewand
printtheexamforpersonalexampreparationonly.Thefollowingactivitiesare
strictlyprohibitedandmayresultindisciplinaryand/orlegalaction:accessingor
permittingaccessbyanyoneotherthancurrently-registeredCFAcandidates;copying,
postingtoanywebsite,emailing,distributingand/orreprintingtheSampleexamfor
anypurpose.
®2019CFAInstitute.Allrightsreserved.
1
2019LevelIISampleExamAM
QuantitativeMethods
TheBig-AlphaFundCaseScenario
TheBig-AlphaFundfocusesonglobalequity,fixedincome,andderivativemarket.
WilliamsWong,CFA,ananalystinBig-Alpha,isresponsibletotrackOrangeCompany.
OrangeCompanyisatechnologycompanyintheU.S.,whosesalesmostlycomefrom
China.WongisdevelopingaregressionmodeltopredictthestockreturnofOrange.
Basedonhisresearch,Wongselectsthefollowingindependentvariables:
Wongcollectsthedatafrom2009to2018forhisregressionmodel.Theregression
resultsarepresentedinExhibit1,andANOVAresultsinExhibit2.
Exhibit1Wong’sRegressionModel
Variable
Coefficient
0.0032
StandardError
0.0054
t-Statistic
0.5925
4.9342
5.9341
3.9869
P-value
0.093
<0.01
<0.01
<0.01
Intercept
1.0278
0.2083
2.3594
0.3976
0.4322
0.1084
Exhibit2Wong’sRegressionModelANOVA
ANOVA
Degreesof
Sumof
Squares(SS)
53.5045
MeanSumof
Freedom(df)
Squares(MSS)
17.8348
Regression
Residual
Total
3
116
119
45%
65.3944
0.5637
118.8989
2
Observations
120
BasedontheresultsshowninExhibit1andExhibit2,Wongwantstotestthe
hypothesisthatalltheregressioncoefficientsareequaltozero.Atthe0.05
significancelevel,thecriticalvalueoftheF-statistic(df=3,116)is2.683.
ElaineSung,Wong’scolleague,noticesthatthevarianceofresidualerrorshows
correlationwiththevaluesoftheindependentvariablesintheregression.She
worriesthatconditionalheteroskedasticitymightexist.SungaskWonghowtotest
thisviolationandwhatcanbetheeffectontheregressioniftheviolationexists.
Sungalsowonderswhetherthereexistsaseasonalityinthequarterlyrevenuesof
Orangecompany.Shedecidestousearegressionmodelwithdummyvariablesto
capturetheseasonalityandmakesthefollowingstatements:
Statement1:Fourdummyvariablesshouldbeadded,oneforeachquarter.
Statement2:Theinterceptcoefficientrepresentstheaveragevalueofthe
dependentvariablefortheomittedcategory.
Statement3:Theregressioncoefficientsrepresentthesensitivityofthe
dependentvariabletoachangeinthedummyvariable.
TheBig-AlphaFundpreparestoestablishanArtificialIntelligencedepartment,which
isresponsibleforanalyzingandtradingassetsusingmachinelearningtechnology.
Oneofitstradingstrategiesistoexecutealong-shortstrategybasedonthebond’s
defaultprobability.TwomembersintheAIteam,BobWeasleyandRogerLestrange,
describetheirideasrespectively.Bobwillbuildaclassificationtreebasedonseveral
riskfactors.Rogerwillbuildalargenumberofindependentclassificationtrees
simultaneouslyandusesthemajorityvotemethodineachdecisionprocess.
RobertLee,theleaderoftheAIteam,takesresponsibilityforbuildingarisk
monitoringsystemforBig-AlphaFund.Heplanstobuildtwodifferentmodelsto
monitorallportfoliossimultaneouslyandreducemodelrisk.
Model1:Usingallhistoricaldataandartificiallylabelsseveralriskfactorswhichwill
affectportfolios’performance
3
Model2:Usingallhistoricaldataandalldataunlabeled
7.Givenasignificancelevelof5%,basedonExhibit1and2,calculatetheF-statistic
valueanddeterminewhetherthethreeindependentvariables,asagroup,explain
thevariationintheOrangestock’sreturn.
Teststatisticsvalue
A.31.64
Explainornot
Yes
No
Yes
B.0.8181
C.17.85
8.AccordingtoExhibit1and2,usinga0.05significancelevel,whichofthefollowing
confidenceintervalsforcoefficientsismostcorrect?
A.
B.
:
:
(0.6842,
(1.5801,
1.3714)
3.1387)
C.
:
(0.1525,
0.7119)
9.RegardingSung’sworryaboutconditionalheteroskedasticity,whichofthe
followingresponsesismostaccurate?
A.Breusch-Paganχ²testshouldbeused.Whenconditionalheteroskedasticity
occurs,thet-statisticsofthecoefficientisnotreliable.
B.Breusch-Paganχ²testshouldbeused.Whenconditionalheteroskedasticity
occurs,thecoefficientestimatesarenotreliable.
C.T-testshouldbeused.Whenconditionalheteroskedasticityoccurs,thecoefficient
estimatesarereliable.
10.WhichofthestatementsmadebySungismostcorrect?
A.Statement1.
B.Statement2.
4
C.Statement3.
11.Whichofthefollowingstatementsismostlikelycorrect?
A.BobusestheCARTmethod,andRogerusestheRandomForestsmethod.
B.BobusestheRandomForestmethod,andRogerusestheNeuralNetwork.
C.BobusessimpleNeuralNetwork,andRogerusescomplexNeuralNetwork.
12.Whichofthefollowingstatementsismostaccurate?
A.Model1issupervisedlearning,whilemodel2isunsupervisedlearning.
B.Model1isunsupervisedlearning,whilemodel2issupervisedlearning.
C.Model1and2arehomogeneousfromamodelingperspective.
FIXEDINCOME
CentaurusCapitalCaseScenario
LukeGu,CFA,isaninternaltrainerofCentaurusCapitalwhichisspecializedin
fixed-incomeinvestment.ThisFriday,Guarrangesaone-dayworkshopforsenior
staffstoenhancetheirprofessionalskillsabouttheembeddedoption.
HighlandFeng,chiefInvestmentofficerofCentaurusCapital,statesthatanalysts
couldvalueenterprisesfromoptionperspective.Hemakesthefollowingstatements:
Statement1:Holdingacompany’sequityiseconomicallyequivalenttoowninga
5
Europeancalloptiononthecompany’sasset,whereasowningthecompany’sdebtis
economicallyequivalenttosellingaEuropeanputoptiononthecompany’sasset.
Statement2:Thestructuralmodelcouldbeusedtoestimateacompany’sdefault
probabilityandrecoveryratefromoptionperspective.However,severalassumptions
ofthemodelarenotrealistic.
AngelZhou,oneofthefirm’ssenioranalyst,thensharestheinformationofacallable
bondissuedbyAquarius,Inc.Itisa2-yearcallablebondwithanannualcouponrate
of6%andaparvalueof$100,whichiscallableat$101attheendofthefirstyear.
Basedonmarketinformation,Zhouconstructsabinomialinterestratetreeprovided
inExhibit1.
Exhibit1:BinomialInterestRateTree
Year0
Year1
8%
5%
4%
Inaddition,ZhoumentionsthatCentaurusCapitalalsohasalongpositionina5-year
putablebondissuedbyAquarius,Inc.Zhoustatesthattheoption-adjustedspreadof
theputablebondwillbeaffectedbyinterestratevolatility,andshebelievesthatthe
interestratewillbelessvolatileinthefollowingyears.
Inthefollowingsessionoftheworkshop,QueenieYang,chiefmacroeconomic
analyst,demonstratesherforecastsfortheyieldcurvebasedonaquantitativemodel.
Theyieldcurveiscurrentlydownwardsloping,however,Yangbelievesthatthereisa
highlikelihoodthatthecurvewillbecomeflatandwillfinallyslopeupward.Her
estimatedyieldsareillustratedinExhibit2.
Exhibit2:EstimatedYields
Yields
1-year
2-year
Today
5%
1yearfromnow
3yearsfromnow
5%
5%
4.9%
5.1%
5.5%
6
3-year
5-year
4.8%
4.6%
5.2%
5.4%
6%
7%
JohnNiu,chiefriskofficer,isresponsibleformanagingtheinterestrateriskforthe
investmentpositions.Niurealizesthatthereareseveralcriteriacouldbeusedto
measuretheinterestraterisk,includingkeyrateduration,level,steepness,curvature,
andeffectiveduration.Niuisconsideringwhetherallthesecriteriaareappropriatein
measuringinterestrateriskiftheforecastgivenbyYangturnsouttobetrue.
Attheendoftheworkshop,NiuasksZhoutocalculatetheone-sidedurationsofa
3-yearcallablebond.Thebondhasafacevalueof$100andiscurrentlytradedat
$98.6523.Usingthebinomialinterestratetree,Zhoufiguresoutthatwhentheyield
curverisesanddropsby50bps,thenewfullpricesforthecallablebondare
$97.6312and$99.2624respectively.Zhouthencalculatestheone-sidedurations
basedontheaboveinformation.
49.WhichofFeng’sstatement(s)regardingthestructuralmodeliscorrect?
A.Statement1only
B.Statement2only
C.BothStatement1andStatement2
50.ThevalueofthecallablebondissuedbyAquarius,Incisclosestto:
A.$100.5467
B.$100.0705
C.$100.9863
51.IfAngelZhou’sinterestratevolatilityforecastturnsouttobetrue,the
option-adjustedspreadfortheputablebondismostlikelyto:
A.increase.
B.remainthesame.
7
C.decrease.
52.IfQueenieYang’sforecastaboutyieldcurveisunbiased,thevalueofaputable
bondismostlikelyto:
A.decrease.
B.remainthesame.
C.increase.
53.SupposeYang’sforecastcomestrue,whichofthefollowingcriteriaisleast
appropriateinmeasuringinterestraterisk?
A.Keyrateduration.
B.Effectiveduration.
C.Level,steepness,curvature.
54.BasedonZhou’sestimatedpriceforthe3-yearcallablebond,theone-side
up-durationandtheone-sidedown-durationareclosestto:
A.2.07;1.24.
B.1.24;2.07.
C.0.62;1.04.
8
Derivatives
GarciaAdrianCaseScenario
GarciaAdrianisasenioranalystinH&QInternationalCompanywhichis
headquarteredinWashington,USA.Thecompanynowisexploringoverseasmarkets
andconsideringinvestinginChina.However,theriskmanagementdepartmentis
constantlyconcernedaboutthecompany’sexposurestothemovementofthe
exchangerate.Thecompanyhasstartedaproject(1milliondollarsnotionalprincipal)
inChinaandGarciaisrequiredtohedgethecurrencyriskbyusingcurrencyswaps.
HegetsthepresentvaluefactorsdatainExhibit1andtriestopricetheone-year
fixed-for-fixedcurrencyswap(semiannuallyreset).Thecurrentexchangerateis6.8
CNY/USD.
Exhibit1ChineseandUSpresentvaluefactorsdata
Maturity
180-day
360-day
CNYPresentvaluefactors
USDPresentvaluefactors
0.9852
0.9690
0.9975
0.9940
90dayslater,theriskmanagementdepartmentrequiresGarciatohandinananalysis
reportabouttheswapvalue.Thenewpresentvaluefactorsinbothcountriesandthe
updatedexchangerateareshowninExhibit2.
Exhibit2ChineseandUSpresentvaluefactorsdatain90days;
90days
CNY:USD=6.6:1in
Maturity
90-day
CNYPresentvaluefactors
USDPresentvaluefactors
0.9918
0.9744
0.9986
0.9944
270-day
Adam,acolleagueofGarcia,suggeststhatH&Qcouldalsousefloating-for-floating
currencyswapandmakesthefollowingstatementsaboutthefloating-for-floating
currencyswap:
Statement1:H&QwillbenefitfromtheriseofCNY/USDandtheriseofUSinterest
ratesinthefuture;
Statement2:H&QwillbenefitfromthedeclineofCNY/USDandtheriseofUS
9
interestratesinthefuture;
Statement3:H&QwillbenefitfromtheriseofCNY/USDandthedeclineofUS
interestratesinthefuture.
Garciaisalsoresponsibleforanalyzingthecompany’sriskmanagementstrategies
includingusinginterestrateswapsandforwardrateagreements.Todayhecollects
someLibordataandcalculatethepresentvaluefactors.Alltheinformationisshown
inExhibit3.
Exhibit3CurrentLibordataandPresentvaluefactors
Maturity
Libor
2.8%
3.2%
3.5%
4%
Presentvaluefactors
0.9930
Threemonths
Sixmonths
0.9843
Ninemonths
Twelvemonths
0.9744
0.9615
NowH&Qentersintoaone-yearinterestrateswapwhichresetquarterlyasa
receive-fixedpartyandthenotionalprincipalis1milliondollars.Garciaalsomakes
predictionsaboutLiboraftertwomonthsandafterthreemonthsinExhibit4and5.
Exhibit4Liborpredictionaftertwomonths(t=60)
Presentvaluefactors
0.9975
30-dayLibor
120-Libor
210-Libor
300-Libor
3%
3.5%
4%
0.9885
0.9772
4.5%
0.9639
Exhibit5Liborpredictionafteronequarter(t=90)
Presentvaluefactors
90-dayLibor
180-dayLibor
270-dayLibor
3.8%
0.9906
0.9790
0.9653
4.3%
4.8%
Inthemeantime,Garciaisanalyzinga2x4quarterly-pay(2and4referstoQuarter)
payerswaptionH&Qenteredthreemonthsago(10millionnotionalprincipal)with
theswaprateof4.25%.Nowtheswaptionwillmatureinthreemonthsandgivesthe
holdertherighttoenterintoasix-monthswapatexpiration.Garciabelievesthatthe
10
marketswaprateis4.5%afterthreemonths.Garciarecentl
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