CFA三级培训项目:Behavioral Finance 打印版.docx

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1、CFA三级培训项目QTopic in CFA Level IIIStudy Session i-2Study Sssion 3Study Session 4ETHICS & PROFESSIONAL STANDARDS (1&BEHAVIORAL FINANCECAPAL MARKET EXPECTATIONS ( NEW】Study Session 5Study Session 6Study Session 78Study Session 9-10Study Session UStudy Session 12*13Study Session 14Study Session 15Study S

2、ession 16ASSETALLOCA11ONANDRELATEDDECISIONSINPORTFOUOMANAGEMENTDERIVATIVESANDCURRENCYMANAGEMENTNEWFIXED-INCOMEPORTFOUOMANAGEMENTI&:2)EQUITYPORTFOUOMANAGEMENT(1:.&(2)ALTERNATIVEINVESTMENTSFORPORTFOUOMANAGEMENT(NEWPRIVATEWEALTHMANAGEMENT(l)8c(2)(NEW)PORTFOUOMANAGEMENTFOR1NST11U11ONALINVESTORS【NEW)TRAD

3、INGPERFORMANCEEVALUATIONANDMANAGERSELECTION(NEWCASESINPORTFOUOMANAGEMENTANDRISKMANAGEMENTNEW Behavioral Finance Success Keys: Remember Key Words Study Some Cases of These Key Words Explain the Key Words in One Sentence” Recommendations Much of the terminology is redundant in that more than one term

4、can mean the SJme thing. Many Of the concepts are overlapping, and most of the questions depend heavily on comprehending the terminology.Your focus should be on understanding the basic meaning of each term as given in the material.4-HO旨工新章9 FrameworkBehavioral Finance SS3: Behavioral Finance R7 The

5、Behavioral Finance Perspective R8 The Behavioral Biases of Individuals R9 Behavioral Finance and Investment Processes5-110宣2.W -:SIaTheBehavioralFinancePerspectiveTraditionalFinancevs.BehavioralFinanceWithintraditionalfiance.individualsareassumedtoberisk-averseselfinterestedutilitymaximizersrational

6、TraditionalfinancefurtherhypothesizesthatJtthemarketIeVe,DrkeSirorporatandreflectIavailableandIeleVantinformation,Behavioralfinanceincludesbehavioraleconomics,investorDsycholoav.behavioralKienyexperimentaleconomics,andCoanitiVeDSVCholoaVThevarietyofapproachestakentoexamineinvestorbehavioraddstotheco

7、nfusionaboutwhatismeantbybehavioralfinance.InOrmalbehavioralfinancemicro(BFMI)examinesbehaviorsorbiasesthatdistinguishindividualinvestorsfromtherationalactorsenvisionedinneoclassicaleconomictheory./BFMlquestionstheperfectrationalityanddecision-makingprocessofindividualinvestors.Qtbehavioralfinancema

8、cro(BFMA)considersmarketanomaliesthatdistinguishmarketsfromtheefficientmarketsoftraditionalfinance.7-110/BFMAquestionstheefficiencyofmarkets.写3.WietaDecision-MakingProcessToprovideJframeworkforunderstandingtheimplicationsofthedecisionmakingprocessforfinancialmkepractitionerswewillUSganapproach,devel

9、opedbydecisionTheorist,HowardRaiHa.“Heusesthetermsnormativeanalysis,descriptiveanalysis,PrerCriDtiVe-nalskNormativeanalysissconcernedwiththenationalsolutiontotheproblemathand.】tdefinesanidealthatactualdecisionsShOUldstrivetoapproximate.DescriptiveanalysisSconcernedwiththemannerinwhichrealpeopleactua

10、llymakedecisions.Prescriptiveanalysisisconcernedvthpracticaladviceandtoolsthatmighthelppeopleachieveresultsmorecloselyapproximatingthoseofnormativeanalysis.Traditionalfinanceassumptionsaboutbehaviorasnormative.Behavioralfinanceexplanationsofbehaviorsasdescriptive.8110”Effortstousebehavioralfinancein

11、practiceasprescriptive.巨北兔保-MCognitiveErrorsorEmotionalBiasesBehavioralbiasescanbecategorizedascognitiveerrorsoremotionalbiases.Cognitiveerrorsstemfrombdsstatistical,information-processing,ormemoryerrors;cognitiveerrorsmaybeconsideredtoresultfromreasoningbsedonfaultythinking.Emotionalbiasesstemfromi

12、mpulseorintuitionemotionalbiasesmaybeconsideredtoresultfromreasoninginfluencedbyfeelings.“Behavioralbiases,cognitiveoremotional,maycausedecisionstodeviatefromtherationaldecisionsoftraditionalfinance.Tra.FinancePerspectivesonIndiv.BehaviorTraditionalfinanceconceptsmaybethoughtofasnormative,indicating

13、howpeopleandmarketsshouldbehave.,InvestorsareassumedtoberationalinvestorsmakedecisionsconsistentWitllUtiHtytheoryandreviseexpectationsupdatebeliefs*consstentv.thBaYeSfOrmUla1G11CTheyarefurtherassumedtobeself-interestedandrisk-averse,tohaveaccess:toperfectinformation,andtoprocessallavailableinformati

14、oninanunbiasedway.S-Ld3通UtilityTheoryTomaximizeutility,arationalinvestorwillmakedecisionsconformingtothefouraxiomsofutility:completeness,transitivity,independence,andcontinuity.CompletenessChoicesandpreferencesareknownThei11dvdu3isawa11?ofallSvaildblechoicesJndCJnVJlUeJndassignpreferencestoeach,such

15、thatbetweenanytwochokestheindividualprefersoneovertheotherorisindifferentbetweenthem.TransitivityRankingSareappliedconsistentlyIVllO/IftheinvestorpreferschoiceXtochoiceYandpreferschoiceYtochoiceZ,theinvestorwillpreferchoiceXtochoiceZ.巨北兔保-MUtilityTheoryIndependence:Utilitiesareadditiveanddivisible.A

16、ddingchoiceZtobothXandYwillnotaffectthepreferencerankingofXandY.If.forexample,theinvestorprefersXtoYandWeaddZtobothchoices,theinvestorwillprefer(X+Z)over(Y+Z).Also,assumingtheinvestorprefersXtoY.ifanyportion,p.ofZisaddedtoXandY.theinvestorspreferencerankingdoesnotchange.Theinvestorwillprefer(X+pZ)to

17、(Y+pZ).Iftherankingisbasedonthesizeoftheproportion,thechoicesarenotindependent.“Continuity:Indifferencecurvesaresmoothandunbroken.AssumetherearethreechoicesL.MJndNsuchthattheinvestorprefersLtoMandMtoN.TheremustbeacombinationofLandNportionsJandb)thatmakestheinvestorindifferentbetween【3L+bNandM.Thisen

18、suresthatindifferencecurvesareunbrokeni.econtinuous).P (A)where=COndftiOnaIprobabilityCfeventAgivenBItistheupdated=prior(unconditional)probabilityofhmationB13-110=priorprobabilityCfeventAwithoutnewInfcjrmationBThisistheateofbaseprobabJtyCfeventA亏史-创新一谗情MakingDecisionsinPerfectWordInaperfectWOrIdwhen

19、peoplemakedecisionsunderuncertaintytheyareassumedtodothefollowiing:AdheretotheaxiomsOfutilitytheory;Behaveinsuchawayastoassignaprobabilitymeasuretopossibleevents;Incorporatenewinfermationbycond巾OningpobabilitymeasuresaccordingtoBayes*formula;Chooseanactionthatmdmizestheutilityfunctionsubjecttobudget

20、constraints(consistentlyacrossdiflntdecisionproblems)with,especttothisconditionalprobabilityrneiasure14-110Homoeconomicsorrationaleconomicman(REM):Principlesofperfectrationalityperfectself-inti!resandperfectinformationgovernREMSeconomicdecisions亏业创新港伯RiskAverseExpectedutilitytheorygenerallyassumesth

21、atindividualsareriskaverseThismeansthatanindividualmayrdisealirwager(awagerwithanexpectedVcilueofzero),andalsoimpliesthathisutilityfunctionsareconcaveandshowdiRiinishingmarginalUtiiitydwealth;Giventwochoices-investingtoreceiveanexpectedvaluewithcertaintyOrinvestinginanuncerUinalternativethatgenerate

22、stheseimeexpectedVcilue-SomeonewhopreferstoinvlesttoreceiveanexpectedVaIUeWithcertaintyratherthaninvestintheUncertainalternativethatgeneratesthesameexpectedvalueiscalledrisk-averse;whopreferstoinvestinthUncertciinalternativeiscalledrisk-seeking;Intrad巾Onalance;indiddualsareassmedtoberisk-averseUtili

23、tyFunctionofWealth,AconcaveutilityfunctionmeansEatutilityincreasesat3decreasingrateWithincreasesinwealth;therisk-averseindividualhasadiminishingnrgnlutilityofwealthAconvexutilityfunctionmeansthatutilityincreasesatanincreasingratewithincreasesinwealth;therisk-seekingindividualhasanncreasingmarginalut

24、ilityofwealthThedegreeOfllSkaversionCdnbemeasuredbythecurvatureQftheutilityfunction.ChallengestoTraditionalFinanceandtheREM“ThosewhochallengeREMdosobyattackingthebasicassumptionsofperfectinformation,perfectrationality,andperfectself-interest.SomeofthebehavioralchallengestoREMinclude:Boundedrationali

25、tyassumesthatindividualschoicesarerationalbutaresubjecttolimitationsofknowledgeandcognitivecapacity,anddonotbehavewithperfectrationality:PeoplehavedifficultyPrioritiZing$horterm(SPending)goalsoverlong-term(spendingversusSdVingjgoalsanddonotbehavewithperfectself-interest:Itisintuitivelyobviousthatman

26、yeconomicdecisionsaremadeintheabsenceofperfectinformationanddonotbehavewithperfectinformationmonetarypolicy):17-110Wealthutilityfunctionsmaynotalwaysbeconcaveasassumedbyutilitytheory,andindividualsCansometimesexhibitriskseekingbehavior.巨北兔保-MChallengestoUtilityMaximization,Indifferencecurveanalysism

27、ayincorporatebudgetIifiesorconstraints,whichrepresentrestrictionsonconsumptionthdtstemfromresourcescarcity:,IfthetwoitemsareperfectsubstitutesThentheindividualisv/illingtotradeonefortheothenJfixedratio:thentheindifferencecurveisalinewithaconstantslopereflectingthemarginalateofsubstitution-Ifthetwoit

28、emsareperfectcomplementsthenthecurvewouldbeL-shped.Anadditionalamountofeithergoodaddsnoextrautilitybecausethegoodsareonlyusedincombination.”Riskplaysanimportantpartinmakingutility-maximizingdecisionsChallengestoAttitudesTowardRisk”Assumingthatindividualsarerisk-averseendthatutilitycurvesareconcavean

29、dexhibitdiminishingmarginalutilityseemsreasonable,butobservedbehaviorsarenotalwaysconsistentwiththeassumptionofanindividualwhoisconstantlyrisk-averseSuchabuyinglotteryticketsandbuyingm-inv.,hichexpectedutilityislowbutpeople(evenwithlowincomes)participateinthepurchase;IfJninvestmentoffersafewextremel

30、ylargeprizes,itsattractivenessisincreasedfarbeyondtheaggregateVJlURoftheprizes./ThosewithlessincomePrefeeithercertaintyorariskthatoffersasmallchanceof3largegaintoJriskthatismoderate/Middle-incomepeoplearemorelikelytobeattractedbysmall,fairgambles.Riskevaluationisreference-dependent,meaningiskevaluat

31、iondependsinpartonthewealthlevelandcircumstancesofthedecisionmaker,hisnotnecessarilytruethatanindividualsutilityfunctionhasthesamecurvatureconsistently19110写43.舒etaQFriedman-Savagedouble-inflectionutilityfunctionUConcaveRiskAverseConvexRiskSeekingConcaveRiskAverseZ2(11C号a.wZgNeuro-Economics,Neuro-ec

32、onomicscombinesneurosciencepsychology,andeconomicsinattemptingtoexplainhowhumansmakeeconomicdecisions;,Neuro-economicsattemptstobridgethegapbetweenresearchondecisionbehaviorandeconomictheorybyunderstandingthebrainactivityofjudgmentandmakingchoices;,Itistheamygdalathatcreatesafightorflightresponsedur

33、ingasuddeneventortrauma.Forinvestors,theamygdalamayberesponsibleforGpanickedresponseratherthanJnanalyticalresponsetoadroppingmarket:,Althoughneuro-ecoomicsresearchi$interestingandmayprovidefurtherinsightsintoindividualeconomicdecisionmakingitseffectoneconomictheoryremainstobeseenDevelopmentoftheTheo

34、ryPascal: expected*Bernoulli:Value O price UtiIityO estimateFranck Knight RiskO measurable Uncertainty notBoundedRationality22110Neumann&MorgensternMaximizeexpectedutilitySavage:Subjectiveexpectedutility写43.蟀LSlfiDecisionTheory-TraditionalFinanceDecisiontheoryisconcernedwithidentifyingvaluesprobabil

35、ities,andotheruncertaintiesrelevanttoJgivendecisionandusingthatinformationtoarriveJlJtheoreticallyoptimaldecisionThedevelopmentofthedecisiontheoryisasfollowing.TheinitialfocusofdecisiontheorywasonexpectedvalueExpectedvalueofanitemisbasedonitsPriCewhichisthesameforeveryonebecausethepricedependsonlyon

36、theitemitselfExpectedutilityofanitemisbasedontheworthassignedtoitbythepersonmakingtheestimate;FrankKnightdefinesriskasrandomnesswithknowableprobabilitiesanduncertaintyasrandomnesswithunknowableprobabilities;23110ThetheoriesofvonNeumannandMorgensternandSavage(SEU)extendthescopeofexpectedutilit,/theor

37、ytosituationsinwhichonlysubjectiveprobabilitiesareavailable.塞吐里保-EgBoundedRationality,Boundedrationality:recognizingthatpeoplearenotfullyrationalWhenmakingdecisionsanddonotnecessarilyoptimizebutrathersatisfice(definedbelow)whenarrivingattheidecisions:Satisficingsatisfy&suffice:isfindingonacceptables

38、olutionasopposedtooptimizingwhichisfindingthebest!optimal)solution:Theoptimalsolutionistheonethatmaximizestheutilityrealizablefromthesituation.,Decisionmakersmaychoosetosatisficeratherthanoptimizebecausethecostandtimeoffindingtheoptimalsolutioncanbeveryhigh,Whenaspirationsarereached,peopletendtoadju

39、sttheaspirationsupward;whenaspirationsarenotreached,peopletendtoadjustdownward;DecisionsaremadeprogressivelyuntilthegoalstateisachievedThefirstdecisionismadetogetonestepclosertothegoalstatethenextdecisionresultsingettingstillclosertothegoal,anddecisionscontinuetobemadeuntilthegoalstateISmet.Anothere

40、xampleISthedivide*andconquerprocedureProspectTheory-BehavioralFinance,Prospecttheoryhasbeenproposedasanalternativetoexpectedutilitytheory;,Prospecttheoryassignsvaluetogainsandlosses(changesinwealth),ratherthantofinalwealth,andprobabilitiesarereplacedbydecisionweights;Thevaluefunctionisdefinedbythede

41、viationsfromareferencepointandisnormallyconcaveforgains(implyingriskaversion),convexforlosses(risk-seeking),andsteeperforlossesthanforgains(lossaversion).Investorsareassumedt(PlaCeHgreaterValUeOna1。“thanOnaainQftheSameamountGiVenapotentiallossandgainOfequalSiZeSthTincreaseinUtilityass。CiatedWiththeD

42、otentialgainisSmallerthanthedecreaseinUtilitV(i.e.disutility)associatedWiththeDotentialI。”InvestorstendtcfearIoSSeS.dcanbecomeskseeking(assumeriskierpositions)inanattempttoavoidthem.ValueProspectTheory-EditingProcessInprospecttheorybasedQndescriptiveanalysisofhowchoicesaremade,therearetvophasestomak

43、ingachoice:anearlyphasenwhichprospectsareframed(oredited)andasubsequentphasenWhiChprospectsdieevaluatedandchosen.Dependingonthenumberofprospects,theremaybeuptosixoperationsintheeditingprocess:CodificationPeopleperceiveoutcomesJSgainsandlossesrathethanfinalstatesofwealthorwelfare.Againorlossis.ofcour

44、sedefinedwithrespecttosomereferencepoint.CombinationProspectsaresimplifiedbycombiningthePobubitiesassociatedwithidenticalgainsorlosses.Segregation:Therisklesscomponentofanyprospectisseparatedfromitsriskycomponent/Forexampleaprospectinitiallycodedas(300,0.8:200.0.2)isdecomposedintoasuregainof(200.1.0

45、)andaIiSkyprospectof(100.0.8:0.0.20).Thesameprocessisappliedforlosses.Detectionofdominance:0UtconnesthatarestrictlydominatedareSCannedandrejectedwithoutfirtlherevaluation.28ILO亏业创新逸值ProspectPhaseU=w(P1)v(x1)PLBtheirrespectiveProbab小ticsisafunctionthatassignsavaluetoanoutconeisHprobabJty-weightingfun

46、ctionTheprobability-weightingfij11ctionexpressesthefactthatpeopletendtooverreacttosmallprobability*11tsbutunderreacttomid-sizedandlaigeprobabilitiesThevaluefunctionissshaped;moreover;asitsasymmetryimpliesgiventhesamevariationinabsolutevaluethereisabiggerimpactoflossesthanofgainsQossaversion).29-110亏

47、业创新港伯ShortCommentUtilitytheoryassumesriskaversion,prospecttheoryassumeslossaversion.TraditionalFinancevsBehavioralFinanceTraditional Finance Assumes:Behavioral Finance Assumes:Unlimited perfect knowledgeCapacity limitations on knowledgeUtility maximizationSatiSfiCeFully rational decision makingBounded rationality. Cognitive limitson decision makingRiSk avers

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