Title | DA4675 CFA Level III Smart Sheet 2020 |
---|---|
Author | ΓΕΩΡΓΙΟΣ ΚΑΡΑΓΕΩΡΓΟΣ |
Course | Financial Theory |
Institution | Οικονομικό Πανεπιστήμιο Αθηνών |
Pages | 9 |
File Size | 799.8 KB |
File Type | |
Total Downloads | 67 |
Total Views | 139 |
Quick Sheet in order to facilitate with many formulas and basic financial concepts such these being tested in CFA curiculum...
2020
CRITICAL CONCEPTS FOR THE CFA EXAM
CFA® EXAM REVIEW
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WILEY’S CFA PROGRAM LEVEL III SMARTSHEETS FUNDAMENTALS FOR CFA EXAM SUCCESS
WCID184
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Wiley’s CFA Program Exam Review ETHICAL AND PROFESSIONAL STANDARDS StandardS of ProfeSSional ConduCt • ThoroughlyreadtheStandards,alongwithrelated guidanceandexamples.
aSSet Manager Code of ProfeSSional ConduCt • Firm-wide,voluntarystandards • Nopartialclaimofcompliance. • Compliancestatement:“[Insertnameoffirm]claims compliancewiththeCFAInstituteAssetManagerCodeof ProfessionalConduct.Thisclaimhasnotbeenverifiedby CFAInstitute.” • FirmsmustnotifyCFAInstitutewhenclaiming compliance. • CFAInstitutedoesnotverifymanager’sclaimof compliance. • Standardscover: • Loyaltytoclients • Investmentprocessandactions • Trading • Riskmanagement,compliance,andsupport • Performanceandvaluation • Disclosures
gloBal inVeStMent PerforManCe StandardS • Focusonrequireddisclosures,andpresentationand reportingrequirementsandrecommendationsofGIPS.
• Beabletoidentifyandcorrecterrorsinaperformance presentationthatclaimstobeGIPScompliant.
BEHAVIORAL FINANCE BehaVioral finanCe PerSPeCtiVe • Prospecttheory • Assignsvaluetochangesinwealthratherthanlevels ofwealth.
• Underweightmoderate-andhigh-probability outcomes.
• Overweightlow-probabilityoutcomes. • Valuefunctionisconcaveaboveawealthreference point(riskaversion)andconvexbelowawealth referencepoint(riskseeking).
• Valuefunctionissteeperforlossesthanforgains. • Cognitivelimitations • Boundedrationality:decidinghowmuchwillbedone toaggregaterelevantinformationandusingrulesof thumb.
• Satisficing:findingadequateratherthanoptimal solutions.
• Traditionalperspectiveonportfolioconstruction assumesthatmanagerscanidentifyaninvestor’s optimalportfoliofrommean-varianceefficientportfolios. • Consumptionandsavings
• Mentalaccounting:wealthclassifiedintocurrent income,currentlyownedassets,PVoffutureincome.
• Framing:sourceofwealthaffectsspending/saving decisions(currentincomehashighmarginal propensitytoconsume).
• Self-control:long-termsourcesunavailableforcurrent spending.
• Behavioralassetpricingmodels • Sentimentpremiumincludedinrequiredreturn. • Bullish(bearish)sentimentriskdecreases(increases) requiredreturn.
• Behavioralportfoliotheory • Strategicassetallocationdependsonthegoal assignedtothefundinglayer.
• Usesbondstofundcriticalgoalsinthedomainof gains.
• Usesriskysecuritiestofundaspirationalgoalsinthe domainoflosses.
• Adaptivemarketshypothesis • Mustadapttosurvive(biastowardspreviously successfulbehaviorduetouseofheuristics).
• Riskpremiumsandsuccessfulstrategieschangeover time.
BehaVioral BiaSeS • Cognitiveerrors(beliefpersistencebiases) • Conservatism:overweightinitialinformationandfailto updatewithnewinformation.
• Confirmationbias:onlyacceptbelief-confirming information,disregardcontradictoryinformation.
• Representativeness:extrapolatepastinformationinto thefuture(includesbase-rateneglectandsample-size neglect). • Illusionofcontrol:believethatyouhavemorecontrol overeventsthanisactuallythecase. • Hindsightbias:onlyrememberinformationthat reinforcesexistingbeliefs. • Cognitiveerrors(information-processingbiases) • Anchoringandadjustment:developinitialestimate andsubsequentlyadjustitup/down. • Mentalaccounting:treatmoneydifferentlydepending onsource/use. • Framing:makeadecisiondifferentlydependingon howinformationispresented. • Availabilitybias:useheuristicsbasedonhowreadily informationcomestomind. • Emotionalbiases • Lossaversion:stronglypreferavoidinglossesto makinggains(includesdispositioneffect,housemoneyeffectandmyopiclossaversion). • Overconfidence:overestimateanalyticalability orusefulnessoftheirinformation(prediction overconfidenceandcertaintyoverconfidence). • Self-attributionbias:self-enhancingandselfprotectingbiasesintensifyoverconfidence. • Self-controlbias:failtoactintheirlong-terminterests (includeshyberbolicdiscounting). • Statusquobias:prefertodonothingthanmakea change. • Endowmentbias:valueanownedassetmorethanif youweretobuyit. • Regretaversion:avoidmakingdecisionsforfearof beingunsuccessful(includeserrorsofcommissionand omission). • Goals-basedinvesting • Baseofpyramid:low-riskassetsforobligations/needs. • Moderate-riskassetsforpriorities/desires;speculative assetsforaspirationalgoals. • Behaviorallymodifiedassetallocation • Greaterwealthrelativetoneedsallowsgreater adaptationtoclientbiases • Advisorshouldmoderatecognitivebiaseswithhigh standardoflivingrisk(SLR). • Advisorshouldadapttoemotionalbiaseswithalow SLR.
inVeStMent ProCeSSeS • Behavioralbiasesinportfolioconstruction • Inertiaanddefault:decidenottochangeanasset allocation(statusquobias).
• Naïvediversification:exhibitcognitiveerrorsresulting fromframingorusingheuristicslike1/ndiversification.
• Companystockinvestment:overallocatefundsto companystock.
• Overconfidencebias:engageinexcessivetrading
(includesdispositioneffect).
• Homebias:preferowncountry’sassets. • Mentalaccounting:portfoliomaynotbeefficientdue togoals-basedinvestingaseachlayerofpyramidis optimizedseparately.
• Behavioralbiasesinresearchandforecasting • Representativeness:duetoexcessivestructured information.
• Confirmationbias:onlyacceptsupportingevidence. • Gamblers’fallacy:overweightprobabilityofmean reversion.
• Hothandfallacy:overweightprobabilityofsimilar returns.
• Overconfidence,availability,illusionofcontrol,selfattributionandhindsightbiasesalsopossible.
• Marketbehavioralbiases • Momentumeffectsduetoherding,anchoring, availabilityandhindsightbiases.
• Bubblesduetooverconfidence,self-attribution, confirmationandhindsightbiases.
• Valuestockshaveoutperformedgrowthstocks;smallcapstockshaveoutperformedlarge-capstocks.
CAPITAL MARkET ExPECTATIONS CMe fraMeworkS and MaCro ConSiderationS • Goodforecastsare: • Objectiveandunbiased • Internallyconsistent • Efficientwithlowerrors • Uncertaintyanderrorsstemfromchoosingincorrect model,errorsinunderlyingdata,orerrorsin estimatedparameters • Errorscanalsostemfrombehavioralbiasessuchas anchoringbias,availabilitybias,confirmationbias, statusquobias,overconfidencebias,andprudence bias • Aggregateequitymarketvalue:
• Threedistinctapproachestoforecastingeconomic change: • Econometrics • Economicindicators • Checklistapproach • Yieldcurveoverthebusinesscycle • Initialrecovery–Steepyieldcurvewithlowshort-term ratesthatstarttorise • Earlyexpansion–Risingcurvewithsteepshort maturitiesandflatlongmaturities • Lateexpansion–Slowlyrisingandflatteningcurve • Slowdown–Flatorinvertedcurvethatisfalling • Contraction–Fallingcurvethatbeginstosteepen
foreCaSting aSSet ClaSS returnS • Expectedreturnsonfixedincomesecuritiescanbe determinedusing: • ADCFapproach,wherebycurrentpriceandfuturecash flowsinferayieldtomaturity(YTM).Realisedreturn differfromYTMduetogains/lossesfrompre-maturity transactionsandreinvestmenteffects • Abuildingblockapproach,wherebyexpectedreturn isbasedontheshort-termnominaldefault-freerate plusriskpremiumssuchasatermpremium,credit premiumandliquiditypremium • Expectedreturnsonequitiescanbedeterminedusing: • Historicalstatistics Wiley © 2020
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Wiley’s CFA Program Exam Review • ADCF/dividenddiscountapproach,suchasthe Grinold-Kronermodel:
assetallocationsresultsinanoverallstrategicasset allocation).
PrinCiPleS of aSSet alloCation • Abuildingblockapproach,wherebyexpectedreturn isbasedoneithertheshort-or-long-termnominal default-freerateplusriskpremiumssuchasthoseused forfixedincomesecuritiesaswellasanequityrisk premium
• Anequilibriumapproach,wherebyexpectedreturnfor
• Meanvarianceoptimization(MVO) • Producesanefficientfrontierbasedonreturns, standarddeviationofreturnsandpairwise correlations.
• Findsoptimalassetallocationmixthatmaximizes client’sutility.
characteristicsofdifferentassetclasses.
• Timehorizon:assetallocationdecisionsevolve withchangesintimehorizon,humancapital,utility function,financialmarketconditions,characteristicsof liabilityandtheassetowner’spriorities.
• Regulatory:financialmarketsandregulatoryentities oftenimposeadditionalconstraints.
• Taxes • Placelesstax-efficientassetsintax-advantaged accountstoachieveafter-taxportfoliooptimization.
anequitymarketisbasedonitssensitivity( )toglobal marketreturnsanditslevelofintegration( )with globalmarkets(Singer-Terhaarmodel):
• MVOlimitations • Assetallocationsarehighlysensitivetosmallchanges ininputvariables. • Assetallocationscanbehighlyconcentrated.
and
• Onlyfocusesonmeanandvarianceofreturns. • Sourcesofriskmaynotbewelldiversified. • Asset-onlystrategy. • Single-periodframeworkandignorestrading/ rebalancingcostsandtaxes.
• Expectedreturnsonrealestatecanbedeterminedusing: • Capitilizationrates:
• Abuildingblockapproach,wherebyexpectedreturnis basedonriskpremiathatincorporatethoseusedfor bothfixedincomesecuritiesandequities • Anequilibriumapproach,withadjustmentsfor illiquidityandsmoothedreturns • Expectedreturnsforforeignexchangecanbedetermined using: • Amonetaryapproach,wherebyexchangerate movementsreflecttheexpecteddifferencesininflation • Capitalflows,wherebyexpectedchangesinexchange ratesisbasedondifferencesbetweencountriesin default-freeratesandriskpremiums
• Abuildingblockapproach,wherebyexpectedreturnis basedonriskpremiathatincorporatethoseusedfor bothfixedincomesecuritiesandequities • Expectedreturnforemergingmarketsecuritiesislikely toincludeconsiderationsforabilityandwillingnessto pay(fixedincome)andriskstoshareholderprotections (equities) • Expectedvarianceofreturnsandcovariancescanbe determinedusing: • Historicalstatistics • Factormodels,thatseektoreduceproblems associatedwithhistoricalstatistics.Shrinkage estimation,usinghistoricalstatisticsandfactormodel outputscanprovidefurtherprecision • Smoothing,especiallyinthecaseofilliquidmarkets:
• Doesnotaddressevolvingassetallocationstrategies, path-dependentdecisions,non-normaldistributions.
• ApproachestoimprovequalityofMVOassetallocation • Usereverseoptimizationtocomputeimpliedreturns andimprovequalityofinputs,e.g.Black-Litterman model.
• Addingconstraintstoincorporateshort-sellingand otherreal-worldrestrictionsintooptimization. • ResampledMVOtechniquecombiningMVOandMonte Carloapproachestoseekthemostefficientand consistentoptimization. • MonteCarlosimulationandscenarioanalysis • Usedinamultiple-periodframeworktoimprove single-periodMVO.
• Providesarealisticpictureofdistributionofpotential futureoutcomes.
• Canincorporatetrading/rebalancingcostsandtaxes. • Canmodelnon-normaldistributions,serialandcrosssectionalcorrelations,evolvingassetallocations,pathdependentdecisions,non-traditionalinvestments, humancapital. • Riskbudget
• Identifiestotalamountofriskandallocatesriskto differentassetclasses. • Assetallocationisoptimalwhenratioofexcessreturn toMCTRisthesameforallassets.
• Rebalancingrangeforataxableportfolio(Rtaxable)can bewiderthanthoseofanotherwiseidenticaltaxexemptportfolio(Rtax exempt).
• Revisiontoassetanallocation • Changesingoals • Changesinconstraints • Changesininvestmentbeliefs • Tacticalassetallocation(TAA)approaches • DiscretionaryTAA:usesmarkettimingskillstoavoidor hedgenegativereturnsindownmarketsandenhance positivereturnsinupmarkets.
• SystematicTAA:usessignalstocaptureasset-classlevelreturnanomaliesthathavebeenempirically demonstratedasproducingabnormalreturns.
• Behavioralbiasesinassetallocation • Lossaversion:mitigatebyframingriskintermsof shortfallprobabilityorfundinghigh-prioritygoalswith low-riskassets.
• Illusionofcontrol:mitigatebyusingtheglobalmarket portfolioasastartingpointandusingaformalasset allocationprocessbasedonlong-termreturnandrisk forecasts,optimizationconstraintsanchoredaround assetclassweightsintheglobalmarketportfolio,and strictpolicyranges.
• Mentalaccounting:goal-basedinvestingincorporates thisbiasdirectlyintotheassetallocationsolutionby aligningeachgoalwithadiscretesub-portfolio.
• Recencyorrepresentativenessbias:mitigatebyusing aformalassetallocationpolicywithprespecified allowableranges.
• Framingbias:mitigatebypresentingthepossibleasset allocationchoiceswithmultipleperspectivesonthe risk-rewardtradeoff.
• Familiarityoravailabilitybias:mitigatebyusingthe
• Liability-relativeassetallocationapproaches
globalmarketportfolioasthestartingpointinasset allocationandcarefullyevaluatinganypotential deviations.
EQUITY PORTFOLIO MANAGEMENT • Approachestomanagingequityportfolios • Passivemanagement:trytomatchbenchmark performance.
• ARCHmodels,thatseektoaccountforvolatility clusteringofreturns
ASSET ALLOCATION aSSet alloCation aPProaCheS • Asset-only:doesnotexplicitlymodelliabilities • Liability-relative(liability-driveninvesting):aimsatan assetallocationthatcanpayoffliabilitieswhenthey comedue. • Goals-basedinvesting:specifiessub-portfolios alignedwithaspecificgoal(sumofallsub-portfolio
• Goal-basedassetallocations • Creationofdifferentiatedportfoliomodulesbasedon capitalmarketexpectations. • Identifyingclients’goalsandmatchingthegoalsto appropriatesub-portfoliosandmodules.
aSSet alloCation with real-world ConStraintS • Constraintsonassetallocationdueto: • Assetsize:moreacuteissueforindividualratherthan institutionalinvestors.
• Liquidity:liquidityneedsofassetownerandliquidity
• Activemanagement:seektooutperformbenchmark bybuyingoutperformingstocksandselling underperformingstocks. • Semiactivemanagement(enhancedindexing):seek tooutperformbenchmarkwithlimitedtrackingrisk (highestinformationratio). • Approachestoconstructinganindexedportfolio • Fullreplication:minimaltrackingriskbuthighcosts. • Stratifiedsampling:retainsbasiccharacteristicsof indexwithoutcostsassociatedwithbuyingallthe stocks. • Optimization:seekstomatchportfolio’sriskexposures (includingcovariances)tothoseoftheindexbutcan bemisspecifiedifhistoricalriskrelationshipschange Wiley © 2020
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Wiley’s CFA Program Exam Review overtime.
• Valuestyleinvesting:lowP/E,contrarian,highyield. • Growthstyleinvesting:consistentgrowth,earnings momentum.
• Market-oriented(blendorcorestyle)investors:marketorientedwithavaluebias,market-orientedwitha growthbias,growthatareasonableprice,stylerotators. • Marketcapapproach:small-cap,mid-cap,large-cap investors. • Investmentstyleanalysis • Holdings-based:analysescharacteristicsofindividual securityholdings. • Returns-based:regressingportfolioreturnson returnsofasetofsecuritiesindices(betasarethe portfolio’sproportionalexposuretotheparticularstyle representedbyindex). • Priceinefficiencyontheshortside • Restrictionstoshortselling. • Management’stendencytodeliberatelyoverstate profits. • Sell-sideanalystsissuefewersellrecommendations. • Sell-sideanalystsarereluctanttoissuenegative opinions. • Selldisciplines • Substitution:opportunitycostsellanddeteriorating fundamentalssell. • Rule-driven:valuation-levelsell,down-from-costsell, up-from-costsell,targetpricesell. • Semiactiveequitystrategies • Derivative-basedsemiactiveequitystrategies: exposuretoequitymarketthroughderivativesand enhancedreturnthroughnon-equityinvestments,e.g. fixedincome. • Stock-basedenhancedindexingstrategies:portfolio lookslikebenchmarkexceptinthoseareasonwhich themanagerexplicitlywishestobeton(withinrisk limits)togeneratealpha. • Informationratio(GrinoldandKahn)
• Core-satelliteportfolio:indexandsemiactivemanagers constitutecoreholdingwhileactivemanagersrepresent satellites. • Totalactivereturnandrisk • Manager’strueactivereturn=Manager’sreturn– Manager’snormalbenchmark • Manager’smisfitactivereturn=Manager’snormal benchmark–Investor’sbenchmark • Totalactiverisk
sellingparentandbuyingsubsidiary)andmulti-class trading(e.g.sellingclassAsharesincompanyX,while buyingtheirclassBshares).
• Eventdriven: • Mergerarbitrage–Seekreturnsfromthepricevolatility accompanyingtakeoverbidsofacquiringcompany’s stockandtargetcompany’sequityanddebtsecurities
• Distressedsecurities–Buyingsecuritiesofcompanies infinancialdistressandfacingbankruptcytotake advantageoflowpriceandtherestructuringofthe company
• Relativevalue: • Fixedincomearbitrage–Exploitingvariousaspects ofmispricingofriskpremiumsbetweensecurities. Strategymanagerswilltendtohedge/immunize againstmarketriskssuchasduration,sovereignrisk, currencyrisk,creditriskandprepaymentrisk
• Convertiblebondarbitrage–Seekreturnsfromdelta hedgingandgammatradingshortequityhedges againstthepotentiallongequityexposurewithin convertiblebonds • Opportunistic:
• Globalmacro–Seekreturnsthroughtrading ofcurrencies,bondsandderivativesbasedon expectationsoftherelativeeconomichealthof countriesandpotentialeconomicpolicychanges
• Managedfutures–Systematicallyseekreturnsfrom technicalanalysisofmarketsandsignalsofexpected movementsinfuturespricesacrossallglobalmarkets.
• Specialist: • Volatility–Seeksreturnsthroughtheimpliedvolatility capturedinoptionpricesbybuyingcheapvolatility andsellingexpensivevolatility
• Insurance-linked–Seeksreturnsfrominvestingand tradinginreinsurancesecurities(e.g.cat-bonds) orlifesettlements(i.e.purchasingoflifepolicies withattractivesurrendervaluesandmortality characteristics) • Multi-manager: