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CFA一级培训项F报班课 WeChat@工作:金程教育金融讲授课程:CFA一、二、三级;AP经济学、统计学课参与:曾参与了金融分析师系列、金程教育CFA课堂笔记、CFA冲刺宝典、CFA中文NOTES等公开物及内部物。并参与翻译CFA参考书《企业》,《国际财务报告分析》等书籍。2-F报班课 WeChat@TopicWeightingsinCFALevelSessionSession StudySession Ethics&Professional StudyStudySession2- StudySession4-StudySession6-FinancialReportingStudySession10-Corporate7StudySessionPortfolioManagementandWealth7StudySession13-EquityStudySession15- StudySession5StudySession43-F报班课 WeChat@TheTimeValueDiscountedCashFlowStatisticalConceptsandProbabilitySamplingandHypothesis 4-F报班课 WeChat@Timetative5-F报班课 WeChat@TimeTimeRequiredinterestrateonaNPVand6-F报班课程WeChat@TimeValueofRequiredrateofreturnaffectedbythesupplyanddemandoffundsinthethereturnthatinvestorsandsaversrequiretogetthemtowillinglylendtheirfunds;usuallyforparticularDiscountratetheinterestrateweusetodiscountpaymentstobemadeintheusuallyusedinterchangeablywiththeinterestOpportunitycostalsounderstoodasaformofinterestrate.Itisthevaluethatinvestorsforgobychoosingaparticularcourseofaction.7-F报班课程WeChat@TimeValueofposerequiredrateofNominalrisk-freerate=realrisk-freerate+expectedinflationRequiredinterestrateonasecurity=nominalrisk-freerate+defaultriskpremium+liquidityriskpremium+maturityriskpremium8-F报班课程WeChat@TimeValueofEAR

rEAR=(1+periodic mEAR=(1+periodic m

那么如果是semi,m=2如果是quarterly如果是连续复利,公式则变为EAReannualint-ThegreaterthecompoundingthegreatertheEARwillbeincomparisontothestatedthegreaterthedifferencebetweenEARandthestated9-F报班课 WeChat@TimeValueofFuturevalue(FV):Amounttowhichinvestmentgrowsafteroneormorecompoundingperiods.Presentvalue(PV):CurrentvalueofsomefuturecashAnnuities:isastreamofequalcashflowsthatoccursatequalintervalsoveragivenperiodN=numberofI/Y=interestrateperPV=presentPMT=amountofeachperiodicFV=future10-F报班课程WeChat@TimeValueofAnexampleofordinaryannuities(后付年金Example:What’stheFVofanordinaryannuitythatpays100peryearattheendofeachofthenext3years,giventhediscountrateis10%Solutions:enterrelevantdataforN=3,I/Y=10,PMT=-100,PV=0,11-F报班课程WeChat@TimeValueofAboutanannuitydue(先付年金Definition:anannuitywheretheannuitypaymentsoccuratthebeginningofeachcompoundingperiod.Measure1:putthecalculatorintheBGNmodeandinputMeasure2:treatasanordinaryannuityandsimplymultipleresultingPVby12-F报班课程WeChat@Example:TimeValueofAcompanyplanstoborrow$50,000forfiveyears.Thecompany’sbankwilllendthemoneyatarateof9%andrequiresthattheloanbepaidoffinfiveequalend-of-yearpayments.Calculatetheamountofthepaymentthatthecompanymustmakeinordertofullyamortizethisloaninfiveyears.N=5,I/Y=9,PV=50,000,FV=0;CPT:PMT=-Usingtheloandescribedintheprecedingexample,determinethepaymentamountifthebankrequiresthecompanytomakequarterlyN=5×4=20,I/Y=9/4=2.25,PV=50,000,FV=0;CPT:PMT=-13-F报班课 WeChat@ N=20*12=240,I/Y=6.2/12,PV=700,000,CPTPMT=-][14-F报班课 WeChat@Example:问备BGN模式:([2NDBGN2NDSET2NDN=20,I/Y=4,PMT=100,000CPTPV=-15-F报班课程WeChat@ 利率为4%,现在需要为女儿准备多少教育金?BGN模式:([2NDBGN2ND]SET2NDN=4,I/Y=4,PMT=50,000,CPTPV=-16-F报班课 WeChat@TimeValueofAboutDefinition:Aperpetuityisafinancialinstrumentsthatpaysafixedamountofmoneyatsetintervalsoveraninfiniteperiodoftime. 0PV1=A/(1+r)PV2=A/(1+r)2PV3=A/(1+r)3PV4=

PV

(1r)PVA

1 rPVAPVr

17-

1 (1F报班课程WeChat@NP NP CF0 (1rCF (1r)2CF... (1r)CFtN (1rCFNPV0CF0 (1IRR)12(1... (1tN (1NetPresentValueInternalRateofReturnWhenNPV=0,thediscount18-F报班课 WeChat@Example:NPVand花了10产品在这带来的收益为:3万、2万、2万、3万、19-F报班课程WeChat@ Example:NPVand[CF][2ND][CLR[↓]3[↓][↓]2[↓][↓]2[↓][↓]3[↓][↓]4[NPV]5[↓][IRR]20-F报班课 WeChat@DiscountedCashFlowDefinition:theholdingperiodreturnissimplythepercentagechangethevalueofaninvestmentovertheperioditis21-F报班课程WeChat@AstockispurchasedAstockispurchasedfor$30andissoldfor$33sixmonthsduringwhichtimeitpaid$0.50individends.Calculatetheholdingperiodreturn.HPRP1P0CF133300.522-F报班课 WeChat@StatisticalConceptsandMarketReturntative23-

F报班课 WeChat@StatisticalConceptsandMarketStatisticalBasicTypesofmeasurementFrequencyMeasuresofcentralMeasuresof24-F报班课程WeChat@StatisticalConceptsandMarketDescriptiveDescriptivestatisticsisthestudyofhowdatacanbeeffectivelytodescribetheimportantaspectsoflargedataByconsolidatingamassofnumericaldetails,descriptivestatisticsdataintoInferentialMakeforecasts,estimates,orjudgmentsaboutalargesetofdataonthebasisofthestatisticalcharacteristicsofasmallerset(asample).25-F报班课 WeChat@StatisticalConceptsandMarketDefinitionofPopulation:Apopulationisdefinedasallmembersofaspecifiedgroup.AnydescriptivemeasureofapopulationcharacteristiciscalledDefinitionofSample:AsampleisasubsetofaAsamplestatistic(orstatistic)isatycomputedfromorusedtodescribeasample.26-F报班课程WeChat@StatisticalConceptsandMarketTypesofmeasurementNominalDistinguishingtwodifferentthings,noorder,onlyhasExample:assigningthenumber1toamunicipalbondfund,number2toacorporatebondOrdinalscales(>,Makingthingsinorder,butthedifferencearenotExample:therankingof1,000smallcapgrowthstocksbyperformancemaybedonebyassigningthenumber1tothe100bestperformingstocksIntervalscales(>,<,+,-SubtractisExample:Ratioscales(>,<,+,-,*,WithoriginalExample:money,ifyouhavezerodollars,youhavenopurchasingpower,butifyouhave$4.00,youhavetwiceasmuchpurchasingpowerasawith$2.00.27-F报班课 WeChat@StatisticalConceptsandMarketRelativeTherelativefrequencyiscalculatedbydividingtheabsoluteofeachturnintervalbythetotalnumberofFrequencyAfrequencydistributionisatabularpresentationofstatisticaldatathataidstheysisoflargedatasets.Cumulativefrequency/CumulativeRelativeCouldbecalculatedbysummingtheabsoluteorrelativestartingatthelowestintervalandprogressingthroughthe28-F报班课 WeChat@StatisticalConceptsandMarketConstructingaFrequencyReal(Inflation-Adjusted)EquityReturns:NineteenMajorEquityArithmeticMeanArithmeticMeanNewSouthUnitedUnited29-F报班课程WeChat@StatisticalConceptsandMarketConstructingaFrequencyFrequencyDistributionofAverageRealEquityFrequency(%)5.0to336.0to477.0to58.0to49.0to330-F报班课 WeChat@StatisticalConceptsandMarketMeasuresofcentraltendency:mode,median,31-F报班课程WeChat@StatisticalConceptsandMarketMeasuresofcentraltendency:mode,median,Thearithmetic

iiX nTheweighted

XWwiXiw1X1w2X2KwnXn 1/Thegeometric

GNX1X2X3KXNXi Theharmonic

nHnH

1/Xi32-F报班课 WeChat@StatisticalConceptsandMarketAbsolutedispersion:istheamountofvariabilitypresentcomparisontoanyreferencepointor Range umvalue–minimumNXiNMAD n

NXiN

2

nn

XForpopulation:2 N

Forsample:s2 n33-F报班课 WeChat@StatisticalConceptsandMarketPositive(right)Negative(left)AdistributionthatisnotsymmetricaliscalledPositiveskewed:Mode<median<mean,havingarightfatNegativeskewed:Mode>media>mean,havingaleftfat34-F报班课 WeChat@StatisticalConceptsandMarketKurtosisisthestatisticalmeasure lsuswhenadistributionisorlesspeakedthananormalLeptokurticvs.AdistributionthatismorepeakedthannormaliscalledAdistributionthatislesspeakedthannormaliscalledSample35-F报班课 WeChat@StatisticalConceptsandMarket36-F报班课 WeChat@ tative37-F报班课 WeChat@ProbabilityTwodefiningpropertiesofMultiplicationruleandAdditionDependentandindependentExpected38-F报班课程WeChat@F报F报班课 WeChat@40-F报班课程WeChat@F报班F报班课 WeChat@ProbabilityBasicRandomvariableisuncertain ty/number.Thereturnonariskyassetisanexampleofarandomvariable.eisanobservedvalueofarandomAneventisaspecifiedset Mutuallyexclusiveevents—cannotbothhappenatthesameExhaustiveevents—includeall TwoDefiningPropertiesofTheprobabilityofanyeventEisanumberbetween0and1:0≤P(E)≤Thesumoftheprobabilitiesofanysetofmutuallyexclusiveexhaustiveeventsequals1:P(E1)+P(E2)+……+42-F报班课 WeChat@ProbabilityUnconditionalProbability(marginalprobability):Supposethequestionis“Whatistheprobabilitythatthestockearnsareturnabovetherisk-freerate(eventA)?”TheanswerisanunconditionalprobabilitythatcanbeviewedastheratiooftwoConditionalprobability:Supposewewanttoknowtheprobabilitythatthestockearnsareturnabovetherisk-freerate(eventA),giventhatthestockearnsapositivereturn(eventB).Withthewords“giventhat,”wearerestrictingreturnstothoselargerthan0percent—anewelementincontrasttothequestionthatbroughtforthanunconditionalprobability.Theconditionalprobabilityiscalculatedastheratiooftwoties.43-F报班课程WeChat@ProbabilityJointprobability:MultiplicationThejointprobabilityofAandBcanbeIfAandBaremutuallyexclusivethen:ProbabilitythatatleastoneoftwoeventswillAdditionrule:GiveneventsAandB,theprobabilitythatAorBoccurs,orbothoccur,isequaltotheprobabilitythatAoccurs,plustheprobabilitythatBoccurs,minustheprobabilitythatbothAandBoccur.P(AorB)=P(A)+P(B)-IfAandBaremutuallyexclusiveevents,then:P(AorB)=P(A)+P(B)44-

F报班课 WeChat@ProbabilityIndependentDefinitionofIndependentEvents:TwoeventsAandBareifandonlyifP(A|B)=P(A)or,equivalently,P(B|A)=MultiplicationRuleforIndependentEvents.Whentwoeventsareindependent,thejointprobabilityofAandBequalstheproductoftheindividualprobabilitiesofAandB:P(AB)=P(A)×P(B)IndependenceandMutuallyExclusivearequiteIfexclusive,mustnotCauseexclusivemeansifAoccur,Bcannotoccur,Ainfluents45-F报班课程WeChat@ProbabilityExpected E(X)P(XiE(X)xi*P(xi)x1*P(x1)x2*P(x2)L

xn*P(xn

Pi(XiEXN2N246-F报班课 WeChat@Common tative47-F报班课 WeChat@CommonProbabilityCommonProbabilityPropertiesofdiscretedistributionandcontinuousDiscreteuniformContinuousuniformNormalLognormal48-F报班课程WeChat@CommonProbabilityDescribetheprobabilitiesofallthe esforaDiscreteandcontinuousrandomDiscreterandomvariables:thenumberofpossible escanbecounted,andforeachpossible e,thereisameasurableandpositiveprobability.Continuousvariables:thenumberof esisinfinite,iflowerandupperboundsP(x)=0eventhoughxcanP49-F报班课程WeChat@ Fordiscreterandom0≤p(x)≤Probabilitydensityfunction(p.d.f):ForcontinuousrandomvariableCumulativeprobabilityfunction(c.p.f):50-F报班课程WeChat@CommonProbabilityProbabilitydensityF(-F(--051-F报班课程WeChat@DiscreteAdiscreteuniformrandomvariableisoneforwhichtheprobabilitiesforallpossible esforadiscreterandomvariableareequal.Forexample,considerthediscreteuniformprobabilitydistributiondefinedasX={1,2,3,4,5},p(x)=0.2.Here,theprobabilityforeach eisequalto0.2[i.e.,52-F报班课程WeChat@ContinuousUniformisdefinedoverarangethatspansbetweensomelowerlimit,a,andupperlimit,b,whichserveastheparametersofthedistribution.PropertiesofContinuousuniformForalla≤x1<x2P(X<aorX>b)=P(x1Xx2)(x2x1)/(ba)53-F报班课程WeChat@54-F报班课程WeChat@CommonProbabilityTheshapeofthedensityxX~N(µ,Symmetricaldistribution:skewness=0;Thetailsgetthinandgotozerobutextendinfiniy,asympotic(渐近55-CFA报班课 WeChat@CommonProbabilityTheconfidence68%confidenceintervalis[,90%confidenceintervalis[1.65,1.6595%confidenceintervalis[1.96,1.9699%confidenceintervalis[2.58,2.58u CFA报班课程WeChat@CommonProbabilityStandardnormalN(0,1)orStandardization:ifX~N(µ,σ²),Z-P(Z>z)=1

ZX

~57-CFA报班课程WeChat@58-CFA报班课程WeChat@CommonProbabilityDefinition:IflnXisnormal,thenXislognormal,whichisusedtothepriceofRightBoundedfrombelowbyzero,soitisusefulformodelingasset 1059-CFA报班课 WeChat@Samplingandtative60-CFA报班课 WeChat@SamplingandSamplingandSimplerandomandstratifiedrandomTime-seriesdataandcross-sectionalPointestimateandIntervalFivekindsof61-CFA报班课程WeChat@SamplingandSamplingandSimplerandomAsimplerandomsampleisasubsetofalargerpopulationcreatedinsuchawaythateachelementofthepopulationhasanequalprobabilityofbeingselectedtothesubset.TheprocedureofdrawingasampletosatisfythedefinitionofsimplerandomsampleiscalledsimplerandomStratifiedrandomInstratifiedrandomsampling,thepopulationisdividedintosubpopulations(strata)basedononeormoreclassificationcriteria.Simplerandomsamplesarethendrawnfromeachstratuminsizesproportionaltotherelativesizeofeachstratuminthepopulation.Thesesamplesarethenpooledtoformastratifiedrandomsample.Samplingerroristhedifferencebetweentheobservedvalueofaandthetyitisintendedto62-CFA报班课 WeChat@SamplingandTime-seriesconsistofobservationstakenoveraperiodoftimeatspecificandequallyspacedtimeintervals.Cross-sectionalasampleofobservationstakenatasinglepointinTime-seriesCross-sectionalacollectionofdatarecordedoverperiodofacollectionofdatatakenatapointof63-CFA报班课 WeChat@SamplingandPointthestatistic,computedfromsampleinformation,whichisusedtoestimatethepopulationparameterConfidenceintervalarangeofvaluesconstructedfromsampledatasotheparameterwithinthatrangeataspecified64-CFA报班课 WeChat@SamplingandData-miningReferstoresultswherethestatisticalsignificanceofthepatternoverestimatedbecausetheresultswerefoundthroughdataSampleselectionSomedataissystematicallyexcludedfromtheysis,usuallybecausethelackofSurvivorshipUsuallyderivesfromsampleselectionforonlytheexistingportfolioareLook-aheadOccurswhenastudytestsarelationshipusingsampledatathatwasnotavailableonthetestTime-periodTimeperiodoverwhichthedataisgatherediseithertooshortortoolong.Ifthetimeperiodistooshort,researchresultsmayreflectphenomenaspecifictothattimeperiod,orperhapsevendatamining.65-CFA报班课程WeChat@ 66-CFA报班课 WeChat@DonotDonotHypothesisThestepsofhypothesisStep Step StepStatenullStatenullandIdentifytheSelectalevelStep SteparriveatFormulatedecision67-CFA报班课程WeChat@68-CFA报班课 WeChat@PrinciplesoftechnicalAssumptionsoftechnicalThedifferencesamongtechnicians,fundamentalistsandEfficientAdvantagesanddisadvantagesoftechnical69-CFA报班课程WeChat@ PricesaredeterminedbytheinteractionofsupplyandOnlyparticipantswhoactuallytradeaffectprices,andbetter-informedparticipantstendtotradeingreatervolume.Priceandvolumereflec

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