Study Sessions 1 & 2Ethical and Professional Standards Professor’sNote:Theprohibitionagainst acceptinggifts, benefits,compensation, orotherconsideration thatmightcompromise yourindepende
Trang 1LEVEL II SCHWESER’S SECRET SAUCE®
Foreword
Ethicaland Professional Standards:SS1&2
Quantitative Methods: SS3
Economics:SS 4
Financial ReportingandAnalysis: SS5,6, &7
Corporate Finance:SS8& 9
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118137157177
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Trang 2SCHWESER’S SECRETSAUCE®:2014CFALEVELII
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Reproduced and republished from 2014 Learning Outcome Statements, Level I, II, and III questions fromCFA®Program Materials, CFA Institute Standards of Professional Conduct, and
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Trang 3SecretSauce®is avaluable additiontothestudytoolsofany CFAexamcandidate
Itoffersveryconciseandveryreadable explanations ofthemajorpartsofthe
Level II CFA curriculum
Thisbook doesnot coverevery Learning Outcome Statement (LOS) and,asyou
are aware,anyLOSis“fairgame”for theexam.Wefocus hereonthose LOS thatare core conceptsinfinance andaccounting,have applicationtootherLOS, are
complexand difficult forcandidates, orrequirememorizationof characteristicsor
relationships
Secret Sauceis easytocarrywith you and will allowyoutostudy these key
concepts,definitions,andtechniquesoverandover,animportantpartof mastering
thematerial When youget totopicswhere thecoverage here appearstoobriefor raisesquestionsin yourmind,thisis your cuetogobacktoyourstudynotes tofill
inthe gapsin your understanding.Thereisnoshortcuttolearningtheverybroad
arrayof subjectmattercoveredby the Level IIcurriculum,but this volume should
beavaluabletoolfor learningandreviewingthematerialasyouprogressin yourstudies overthe months leadingupto examday
Passratesremainaround40%,andreturningLevelII candidatesmakecomments
suchas,“Iwassurprisedathowdifficult theexamwas.”You should notdespairbecauseofthis,butyoushould alsonotunderestimate thischallenge.Ourstudy
materials,practiceexams,question bank,videos, seminars,andSecret Saucearealldesignedtohelpyoustudyasefficientlyaspossible,graspandretainthematerial,and applyitwith confidenceon examday
Bestregards,
Dr BijeshTolia,CFA,CA
VicePresident of CFA Education
and LevelIIManager
KaplanSchweser
KentWestlund,CFAContentSpecialist
Trang 4ETHICAL AND PROFESSIONAL
STANDARDS
Study Sessions 1 & 2
Topic WeightonExam
SchweserNotes™Reference
10%
Book1,Pages 13—137
For manycandidates,ethicsisthemostdifficultmaterialto master.Eventhough
youare anethical person, you willnotbe preparedtoperformwellonthis portion
of the Level IIexamwithoutacomprehensiveknowledgeof the Standards ofProfessional Conduct
Tenpercentof the pointscomefrom theethics material,soyoushouldviewthistopicas an areawhereyoucan setyourselfapartfrom the person sittingnext to
you intheexam room.CFAInstitutehas indicatedthatperformanceontheethics
materialserves as a“tie-breaker”forexam scores veryclosetotheminimumpassingscore.Thisisreferredto asthe “ethics adjustment.”
What’s the point? The ethicsmaterialisworth taking seriously.With10%of thepointsandthepossibility of pushingamarginalexamintothe passcolumn(not
tomentionthefact thatas acandidateyouareobligatedtoabide byCFA Institute
Standards),it isfoolhardynot todevote the neededtimetoethics
A STUDY PLAN FORETHICS
The big questionis,“WTrat do I needtoknow?” Theansweristhatyoureally need
toknow all the ethics material You simplymustspendtimelearningtheStandards
anddevelopingsome intuitionabouthowCFAInstituteexpectsyoutorespondon
theexam.Hereareseveral quick guidelinestohelpin yourpreparation:
• Focusonthe Standards The Standards of Professional Conductarethe keytothe
ethics material TheCodeof Ethicsisapoeticstatementof objectives, buttheheartofthe testingcomesfromtheStandards
Trang 5StudySessions 1 & 2
Ethical and Professional Standards
• Broad interpretation.Abroad definition ofmoststandardsisneededfortestingpurposesevenifit seems toobroadtoapplyin your “real world”situation.For
instance, akeycomponentof theprofessional standardsistheconceptof
disclosure(e.g.,disclosure of conflicts ofinterest,compensationplans,and softdollar arrangements) On theexam,youneedtointerpretwhatneedstobedisclosed very broadly.Agood guidelineisthat if thereisany questioninyourmind about whetheraparticularbitofinformation needstobedisclosed,then
itmostcertainly needs disclosing Erron thesideofmassivedisclosure!
• Always side with theemployer.Manyviewthe Code and Standardstobean
employer-orienteddocument.Thatis,formanyreaders the employer’sinterests
seem tobe moreamply protected If thereis apotential conflict between theemployeeandemployer,always side with the employer
• Defendthe charter.CFAInstituteviewsitselfas theguardian of the industry’s
reputation and,specifically,theguardian of theCFA®designation.Onthe
exam,beverysuspicious ofactivitythat makes industryprofessionalsandCFA
charcerholders look bad
• Assumeallinvestorsareinexperienced.Many differentscenarioscanshow upontheexam(e.g.,amoneymanagercontemplatingatradeforalargetrust fund) However,whenyou study thismaterial,viewthe Standards from the perspective
ofamoneymanager with fiduciary responsibility forasmallaccountbelonging
toinexperiencedinvestors.Assumingthat the investorsareinexperiencedmakessomeissues moreclear
Now,how shouldyouapproach this material?Thereare twokeys here
• First,you needtoreadthe materialverycarefully.Wesuggestthat you underlinekey words andconceptsandcommitchemtomemory.It’s probablyagoodideato startyourstudy effort withacareful readof ethics and thengooverthematerial againinMay
* Second,youshouldanswereverypractice ethicsquestion youcangetyourhandson to
developsomeintuition.Thetruthisthatontheexam, you aregoingto encounter
anumberofethicsquestions thatyou don’timmediately knowtheanswer to.
Answeringalotofpractice questions willhelpyoudevelopsomeintuitionabouthow CFAInstituteexpectsyoutointerprettheethicalsituationsonthe exam.Also,study every exampleinthe StandardsofPracticeHandbook and bepreparedfor questionsontheexam thattestsimilarconcepts.
CODEOFETHICS
Cross-Referenceto CFA InstituteAssignedTopic Review #1
Members of theCFAInstitute andcandidatesforthe CFAdesignationmust:
• Actwithintegrity,competence,diligence,respect,andinanethicalmannerwith
thepublic,clients,prospectiveclients,employers, employees,colleaguesin the
investmentprofession,andother participantsin theglobalcapitalmarkets
Trang 6StudySessions 1 & 2
Ethical and Professional Standards
• Place theintegrity ofthe investmentprofessionand theinterestsofclientsabovetheirownpersonalinterests
• Usereasonablecareand exerciseindependent professional judgmentwhen
conductinginvestmentanalysis,makinginvestmentrecommendations,talcing
investmentactions,and engaginginother professionalactivities
• Practiceand encourage otherstopracticeinaprofessionaland ethicalmannerthat will reflectcreditonthemselves and the profession
• Promotetheintegrityof, andupholdtherules governing, capital markets
• Maintainand improve theirprofessionalcompetenceandstrivetomaintain and
improve thecompetenceof otherinvestmentprofessionals
STANDARDSOFPROFESSIONAL CONDUCT
Cross-Reference toCFAInstituteAssignedTopic Review #2
Thefollowingis asummary of the Standardsof Professional Conduct Focuson
thepurpose ofthestandard,applicationsof the standard,andproperprocedures ofcompliance for eachstandard
_Standard1: Professionalism1(A) Knowledge oftheLaw.Understandandcomplywith laws,rules,
regulations, and CodeandStandardsof anyauthority governingyouractivities.In theeventofa conflict,follow themorestrictlaw, rule, orregulation.Donotknowinglyparticipateorassistin violations,and
dissociatefromany knownviolation
Professor’sNote:Therequirementtodisassociatefromany violationscommitted by othersisexplicitin theStandard This mightmeanresigningfromthefirminextremecases Theguidancestatementalsomakes clearthat you aren’trequiredto reportpotentialviolationsof
the Code and Standardscommittedby other membersorcandidates
toCFAInstitute,aithoughitisencouraged Compliance withanyapplicablefiduciary dutiestoclients wouldnowbecovered under thisstandard
1(B) IndependenceandObjectivity.Usereasonablecare toexercise
independenceandobjectivityinprofessionalactivities.Don’toffer,
solicit, or acceptanygift,benefit,compensation,orconsideration thatwould compromiseeither yourownorsomeoneelse’s independenceand
objectivity
Trang 7Study Sessions 1 & 2
Ethical and Professional Standards
Professor’sNote:Theprohibitionagainst acceptinggifts, benefits,compensation, orotherconsideration thatmightcompromise yourindependenceand objectivity includesall situationsbeyondjust
those involving clients andprospects, includinginvestmentbankingrelationships,publiccompanies the analystisfollowing, pressureonsell-side analysts bybuy-sideclients,and issuer-paid research
1(C) Misrepresentation.Donotknowingly misrepresentfactsregarding
investmentanalysis,recommendations, actions, orotherprofessional
overreachorregulateone’spersonalbehavior
Professor’sNote:ThisStandardaddressinginsider tradingstates
that members and candidatesmust not act orcauseothersto act
on materialnonpublicinformation until thatsameinformationis
madepublic Thisisastrictstandard—itdoesnot matterwhethertheinformation isobtainedinbreachofaduty,ismisappropriated,
orrelatesto atenderoffer. The“mosaic theory"stillapplies,and
ananalystcan takeaction basedonher analysisofpublicand
nonmaterialnonpublicinformation.
11(B) MarketManipulation Donotengagein anypractices intendedtomislead
marketparticipantsthroughdistortedpricesorartificially inflated tradingvolume
]
Standard III:DutiestoClients111(A) Loyalty,Prudence,and Care.Alwaysactforthebenefitofclients andplace
clients’interestsbeforeyouremployer’soryourown interests.Youmustbe
loyalto clients, usereasonablecare,andexerciseprudent judgment
Trang 8Study Sessions 1 & 2
EthicalandProfessional Standards
Professor’sNote:Applicabilityofanyfiduciarydutiestoclients andprospectsisnowcovered underStandard1(A)KnowledgeoftheLaw.III(B) FairDealing.Youmustdealfairly and objectively with all clients and
prospectswhenprovidinginvestmentanalysis,makinginvestment
recommendations,takinginvestment action, orinother professional
activities
Professor’sNote:This Standard includesprovidinginvestmentanalysis
andengaginginotherprofessionalactivities aswellasdisseminating
investmentrecommendationsandtakinginvestmentaction
III(C) Suitability
1. Wheninanadvisory relationshipwithaclientor prospect,youmust:
• Makereasonable inquiryinto aclients investment experience,
risk andreturnobjectives,and constraintspriortomaking
anyrecommendationsortakinginvestment action.Reassessinformationandupdateregularly
• Besure investments aresuitableto aclient’sfinancialsituationand
consistentwith client objectives beforemakingrecommendations
ortakinginvestment action
• Makesureinvestmentsaresuitablein thecontextofaclient’s totalportfolio
2 Whenmanagingaportfolio,your investmentrecommendationsandactionsmustbeconsistentwith the statedportfolio objectivesand
constraints.
Professor’sNote: The client’swrittenobjectives andconstraintsare
requiredtobe reviewed andupdated“regularly.“The seconditem
AGfl appliesthe suitability standardto managedportfoliosand requiresyou
tostickto themandatedinvestmentstyleasoutlined in the portfolioobjectivesandconstraints.
III(D) PerformancePresentation.Presentationsofinvestmentperformance
informationmustbefair, accurate,and complete
III(E) PreservationofConfidentiality All informationaboutcurrentandformer
clients andprospects mustbekeptconfidential unlessitpertainstoillegalactivities,disclosureisrequired bylaw,ortheclientor prospectgivespermission fortheinformationtobedisclosed
Professor’sNote: This Standardcoversall clientinformation, notjust
information concerningmatterswithin thescopeoftherelationship.Also notethat the languagespecificallyincludes notonlyprospects
Trang 9StudySessions 1 & 2
Ethical and Professional Standards
[ Standard IV:DutiestoEmployers
IV(A) Loyalty.Youmustplaceyouremployersinterestbeforeyourownandmust
notdepriveyouremployerofyourskills andabilities,divulgeconfidential
information,orotherwiseharmyouremployer
Professor’sNote: Thephrase “in mattersrelatedtoemployment”means
that youarenotrequiredtosubordinateimportantpersonal and
family obligationstoyourjob.TheStandardalso addresses theissueof
“whistle-blowing”by stating that therearecircumstances in whichtheemployer’sinterests aresubordinatedto actionsnecessarytoprotecttheintegrityofthecapitalmarketsorclientinterests
IV(B) Additional Compensation Arrangements.Nogifts,benefits,compensation,
orconsiderationthatmaycreate aconflict ofinterestwith the employersinterest are tobeaccepted,unlesswrittenconsentisreceivedfrom all
parties
Professor’sNote: “Compensation”includes “gifts, benefits,
compensation,orconsideration.”
IV(C) Responsibilitiesof Supervisors.Youmustmake reasonableeffortsto
detectandpreventviolationsoflaws,rules,regulations, and the Code and
Standardsbyanypersonunder yoursupervisionorauthority
Professor’sNote:Thefocusis onestablishingandimplementing
reasonablecomplianceproceduresinorderto meetthis Standard.Notice also thatinformingyouremployerofyourresponsibilityto
abideby the Code and Standardsisonlya recommendation
I Standard V: InvestmentAnalysis,Recommendations,andActionsV(A) Diligenceand Reasonable Basis
1. Whenanalyzinginvestments,makingrecommendations,andtaking
investmentactions, usediligence,independence, andthoroughness
2 Investment analysis,recommendations,andactionsshould havea
reasonableandadequatebasis,supported by research and investigation
Professor’sNote: ThisStandardexplicitly requires that youexercise
KzjgW diligenceand havea reasonable basisforinvestmentanalysis,as well
asformakingrecommendationsortakinginvestmentaction
Trang 10Study Sessions 1 & 2
Ethical and Professional Standards
V(B) CommunicationWith Clients andProspectiveClients
1. Disclosetoclients andprospectsthe basicformat andgeneral principles
ofinvestmentprocessesusedtoanalyze and selectsecuritiesand
constructportfolios Promptlydiscloseanyprocess changes
2 Usereasonablejudgmentinidentifyingrelevantfactors importantto investmentanalyses,recommendations, or actions,and include chosefactorswhencommunicating with clientsandprospects.
3 Investment analysesand recommendationsshouldclearly differentiatefacts from opinions
Professor’sNote:ThisStandardcoverscommunication inanyform
with clientsandprospectiveclients, including researchreportsandrecommendations
V(C) RecordRetention.Maintainall recordssupportinganalysis,
recommendations, actions,and all otherinvestment-related
communications withclients andprospects.
Professor’s Note:Theissueofrecordretention is aseparateStandard,
emphasizingitsimportance Itincludes records relatingto investmentanalysisaswellas investmentrecommendations andactions Theguidancestatementsaysyou shouldmaintain recordsforsevenyearsinthe absenceofotherregulatory guidance
StandardVI:Conflicts ofInterest
VI(A) Disclosure ofConflicts.Youmustmake full and fair disclosureofall
mattersthatmayimpair yourindependenceorobjectivityorinterferewithyourdutiestoemployer,clients,a'ndprospects.Disclosuresmustbe
prominent,inplain language,andeffectivelycommunicatethe information
Professor’sNote:Theemphasisis onmeaningfuldisclosurein
prominent andplain language;impenetrable legalprosethatno one can understandis notsufficient.
VI(B) PriorityofTransactions.Investmenttransactionsfor clients andemployers
musthave priorityoverthose in whichyou areabeneficialowner.
Professor’sNote: Thelanguageisintendedtoheclear—transactionsfor
clients and employers alwayshave priorityoverpersonaltransactions.
Trang 11StudySessions 1 & 2 Ethical andProfessional Standards
StandardVII:ResponsibilitiesasaCFAInstituteMemberor
CFACandidateVII(A) ConductasMembersandCandidatesintheCFAProgram.Youmust not
engageinconductthatcompromises the reputationorintegrityof
CFAInstitute,theCFAdesignation,orthe integrity, validity,or securityof
theCFAexams.
Professor’sNote: TheStandardisintendedtocoverconduct suchascheatingon the CFA exam orotherwiseviolatingrulesof
CFA InstituteortheCFAprogram.Itis notintendedtoprevent
anyonefromexpressingany opinionsorbeliefsconcerning
CFAInstituteortheCFAprogram. Violations also includediscussingthe questions(or even broad subjectareas)thatweretestedor not
testedon theexam.
VII(B) ReferencetoCFAInstitute,the CFADesignation, andtheCFA Program
Youmust notmisrepresentor exaggeratethe meaningorimplications ofmembershipin CFAInstitute,holdingthe CFA designation,orcandidacy
intheprogram
Professor’sNote: This Standardprohibitsyoufrom engagingin
any conduct that may “misrepresentor exaggeratethe meaningorimplicationsofmembership in CFAInstitute, holdingthe CFA
designation, orcandidacy inthe CFAprogram.” Youcannotreferenceany “partial”designation, sincethis also misrepresentsorexaggerates
credentials
OTHER LEVEL II ETHICS TOPIC REVIEWS
The Code and Standardsaretheheartof the Level II ethicscurriculum, so werecommend spending about 60% ofyourethicsstudytimeonthem.However,
someadditional ethics topicreviewsatLevelII maybetested,includingthe CFA
InstituteSoft DollarStandards,theCFAInstituteResearch ObjectivityStandards,and theNew Prudent Investor Rule.Spendtheother40% of yourtime onthesetopicsandfocusonthekey points discussedinthefollowingsections.Rememberthat the Research ObjectivityStandardsareapplicableonlytofirms(asopposedto
individuals)who claim compliance
CFA INSTITUTE SOFT DOLLAR STANDARDS
Cross-Reference to CFA InstituteAssigned TopicReview #3
“Soft dollars”(or“clientbrokerage”)referstoinvestment research,products andservices,andcash credits giventotheinvestmentmanager by brokersinreturn
Trang 12Study Sessions 1 & 2
Ethical and Professional Standards
forclientbusiness.Thesoft dollarcreditistheclient’sasserbecausehe pays the
commission.Fiduciariesowetheirclientstwobasicduties:to act intheclient’sbest
interestandrodisclose conflictsofinterest.The cardinal ruleisthat soft dollarsare
an assetof theclient,andsoftdollarsmaynotbeusedfor any purpose thatdoes
notbenefitthat client
Knowthetwokeyprinciplesof theSoftDollarStandardsand apply themto any
questioninwhich youare unsureof thespecificdetailsoftheStandards
• Principle#1:Brokerageisthepropertyof the client
• Principle#2:Investmentmanagers haveadutytoobtainbestexecution, minimizetransactionscosts,anduseclientbrokeragetobenefitclients
Youshould befamiliarwithsomeofthekeyrequirements of theSoftDollar
Standards, asoutlinedinFigure1
Trang 13Study Sessions 1 & 2
Ethical and Professional StandardsFigure1:Key Requirementsof the CFAInstituteSoftDollarStandards
General • Place client interests above all else.
• Don’t allocate client brokerage based on client
referrals from brokers.
Relationships With Clients • Disclose potential participation in soft dollar
arrangements.
Selection of Brokers • Consider brokers’ trade execution capabilities
when selecting brokers,
Evaluation of Research • Use clientbrokerageonly for products and services
that meet the definition of “research”:productsand
services that assist die investment manager in the
investmentdecision-makingprocess.
• Document basis for determining why it meets the definition.
• Research must benefit the client.
• Allocate research cost based on expected usageformixed-use research.
Client-Directed Brokerage • Don’t usebrokeragefrom one client to pay
for research purchased for another client who
is operating under aclient-directedbrokerage
agreement.
Disclosure • Disclose policies in planlanguage
• Send clients annual statement that soft dollar
practices conform to Soft Dollar Standards.
• Disclose to clients that more information on policies is available upon request.
Record Keeping • Meet all regulatory and legal requirements.
• Document any specific arrangement with clients,
including client-directedbrokerageagreements.
• Document the basisformixed-useallocations
• Documenthow products and services assist the
manager in the investment decision-making process.
• Document compliance with the Soft Dollar Standards.
Trang 14Study Sessions 1 & 2
Ethical and Professional Standards
CFA INSTITUTE RESEARCH OBJECTIVITY STANDARDS
Cross-Referenceto CFA InstituteAssignedTopic Review#4
The Research Objectivity Standardsarevoluntary standardsintendedto
complement and facilitate compliancewith the StandardsofPractice.Theyareintendedtobeauniversalguideforall investmentfirms byprovidingethicalstandards and practices regarding fullandfairdisclosureofanyconflictsor
potential conflicts relatingto thefirm’s research andinvestmentrecommendations.However,firmsare notrequiredtocomplywith the Research Objectivity
Standards
ProfessorsNote:Ifyou havean understandingofthe basic
requirements, you should be abletohandlemostofthe questionsonthe topic thatmight appearon the LevelIIexam We alsosuggest that
youreview the Recommended Proceduresfor Compliance
Trang 15StudySessions 1 & 2
Ethical and Professional StandardsFigure2:Key Requirements of theCFA InstituteResearch Objectivity Standards =
Research Objectivity
Policy
Have a formal, writtenpolicyanddistributeit to clients,
prospective clients, andemployees
Seniorofficemust attest annually thatfirm complieswith
policy
Discloseconflicts of interest whendiscussingresearch and
recommendations inpublicforums.
PublicAppearances
Allreports and recommendations must have areasonable
andadequatebasis.
Reasonableand
Adequate Basis
InvestmentBanking Separate researchanalystsfrom investmentbanking
Don’t let analysts report to, orbe supervisedby, investment
Linkanalyst compensation toqualityof analysis, not
amount of investmentbanking businessdone with client.
Don’tengage in front running ofclienttrades.
Don’t let employees and immediate family members trade ahead of clients, trade contrary tofirmrecommendations,
or participate inIPOsof companies covered by the firm.
Disclosure Disclose conflicts of interest.
Rating System Have a rating system that investorsfinduseful and
providethem with informationtheycan use to determine suitability.
Trang 16Study Sessions 1 & 2
Ethical and Professional Standards
THE NEW PRUDENT INVESTOR RULE
Cross-Reference to CFA InstituteAssignedTopic Review #10
Differences BetweentheOld Prudent Man Rule and theNewPrudentInvestorRule
ThenewPrudent Investor Rulemakesfive key changestothetraditional rules
governing investmenttrust management.
• Useoftotalreturn.ThenewRulemeasuresreasonable portfolioreturn astotal
return (incomepluscapitalgrowth) andemphasizesthat thetrustee’sdutyis
to notonlypreserve thepurchasing power of thetrust but,in certaincases, to
realizeprincipal growthinexcessofinflation
• Riskmanagement.UnderthenewRule,thetrusteehas the obligationtoassessthe risk andreturnobjectives of thetrustbeneficiariesandmanage thetrustinaprudentmannerconsistent withthoseobjectives,ratherthantoavoid allrisk
• Evaluationinaportfoliocontext.WhilethenewRule callsfor theavoidanceofundue speculationandrisk,it alsoencouragestrustees to viewrisk inaportfolio
context.
• Securityrestrictions.Nosecuritiesare“off-limits” becauseof theirriskinesswhenheldinisolation Forexample,under the oldRule,optionswere not allowed,
butunderthenew Rule,theyare, aslongasthe manager takes theportfolio
perspectivetoanalyzing risk
• Delegationofduty.TheoldRuledidnotpermittrustees todelegateinvestment
authority.Infact,investinginmutual fundsor evenindexfundswasdeemed
improper ThenewRulegoessofaras tosay thatitmaybethedutyofa trustee (this is strongerlanguagethan justauthority)todelegate, justas aprudent
investor would
Professor’sNote: Theseprinciplesareconsistentwith theguidelinesoutlinedinthe topicreviewoftheportfoliomanagementprocessinStudySession18, where the LOSask you toexplain the importance
oftheporfolioperspectiveanddefineinvestmentobjectives andconstraints.
Trang 17StudySessions 1 & 2
Ethical and Professional StandardsKey Factors That Trustees Should Consider
ThenewPrudentInvestor Rule includeseightkeyfactors that thetrusteeshouldconsider when investingandmanagingtrust assets:
1. Economicconditions
2 Effectsofinflation and deflation
3 Impact ofinvestmentdecisionsonthe beneficiary’staxliability
4 How each individualinvestmentcontributestothe risk andreturnof theoverallportfolio
5 Expectedtotalreturnfrom capital appreciationand income
6 Otherresourcesof the beneficiary
7 Thebeneficiary’s liquidity,income,and capital preservationrequirements
8 Whetheranyassetshaveaspecialrelationshiptothe requirements of thebeneficiaryorthetrust.
Trang 18QUANTITATIVE METHODS
Study Session 3
'.v • / • :
SchweserNotes™Reference Book1 ,Pages138-263
Quantitativeanalysisisoneoftheprimary toolsused intheinvestmentcommunity,
soyoucan expectCFAInstituteto testthis sectionthoroughly.Bothlinear
regression(withonlyoneindependentvariable) andmultipleregression(withmorethanoneindependentvariable)arecoveredintheLevelII Quant readings The
LevelII curriculum also includesatopicreviewon time seriesanalysis
Akeytopic in the LevelII Quant materialismultiple regression Ifyouhaveasolidunderstanding of simplelinearregression,youcanhandle multiple regression andanythingyoumightsee on theLevel IIexam.Alltheimportantconceptsinsimple
linearregressionarerepeatedin thecontextof multiple regression (e.g.,testing
regressionparametersandcalculating predicted valuesof thedependentvariable),
andyou’remostlikelyto seethese testedas partofamultipleregressionquestion
Forthetime series material,theconceptsofnonstationarity,unit roots (i.e.,randomwalks),and serialcorrelation,will be important,aswellasbeing abletocalculate
the mean-reverting levelofanautoregressive(AR) time-seriesmodel Understandthe implications of seasonality and howtodetect andcorrect it, aswellastheroot meansquarederror (RMSE) as amodel evaluationcriterion.
CORRELATIONAND REGRESSION
Cross-Referenceto CFA Institute Assigned Topic Review #11
Becauseeverythingyoulearnfor simplelinearregressioncanbeappliedtomultiplelinear regression,youshouldfocusonthe materialpresentedin thenextsection.Theonly topics uniquetosimple linear regressionare (1) the correlationcoefficient,
(2) regressionassumptions,and(3)formingapredictionintervalfor the dependent(Y)variable
CorrelationCoefficient
Thecorrelationcoefficient, r,forasample andpforapopulation,is a measureofthe
Trang 19StudySession 3
Quantitative Methods(perfectpositivecorrelation),avalue of—1indicates thatthevariablesmove
exactly opposite(perfect negative correlation),andavalueof0indicatesnolinear
relationship
H
Theteststatisticforthesignificanceofacorrelation coefficient(nullisp=0)hasa
r-distributionwithn - 2degreesoffreedom andiscalculatedas:
iJn —2
Regression Assumptions
• A linearrelationshipexistsbetween thedependentandindependentvariables
• Theindependentvariableisuncorrelated with the residualterm.
• The expected value oftheresidualterm is zero.
• Thereis a constantvarianceof the residualterm.
• The residualterm isindependentlydistributed;thatis,theresidualtermforone
observationisnotcorrelated with that ofanotherobservation(aviolationofthis
assumptioniscalledautocorrelation).
• Theresidualterm isnormally distributed
Notethat five of thesixassumptionsarerelatedtothe residual.term.The residual
terms areindependently(ofeach otherandtheindependentvariable),identically,
andnormallydistributed witha zero mean.
ConfidenceIntervalforaPredicted Y-Value
In simplelinearregression,you havetoknowhowtocalculateacojifidenceinterval
forthepredictedYvalue:
predictedY value±(critical t-value)(standard errorofforecast)
Calculatingaconfidence intervalforthepredicted yvalue isnot partofthe multiple
regressionLOS,however, because the multiple regressionversion istoocomplicated
andnot partoftheLevel IIcurriculum
MULTIPLE REGRESSIONAND ISSUESIN REGRESSION ANALYSIS
Cross-Reference to CFA InstituteAssigned TopicReview #12
Multipleregressionis themostimportantpartof thequantmaterial Youcanfully
expectthat multiple regression will beontheexam,probablyinseveral places
Trang 20StudySession 3
Quantitative Methods
Theflow chartinFigure1willhelpyouevaluateamultiple regressionmodelandgrasp the“bigpicture”inpreparation for theexam.
Figure1:Assessment ofaMultiple Regression Model
No Correctthemodel
misspecification
Is themodel correcdy
specified?
Yes, Yes
Areindividualcoefficients
.Yes No
Dropone of the correlated variables Use the model!
Youshouldknow thata f-test assessesthe statisticalsignificanceofthe individual
regressionparameters,andanT-testassessesthe effectivenessof themodelas awholeinexplainingthedependentvariable You should understand the effect
thatheteroskedasticity, serialcorrelation,andmulticollinearity haveonregressionresults Focusoninterpretationofthe regression equation and thetest statistics.
Trang 21avaluefor the dependentvariable,youuseestimated valuesfor all the independentvariables, even thoseindependentvariables whose slope coefficientisnot
statistically different fromzero.
MultipleRegression:Testing
Tests forsignificanceinmultiple regressioninvolvetesting whether:
• Each independentvariableindividuallycontributestoexplainingthe variation in
the dependentvariableusing thef-statistic
• Someorall of the independent variables contributetoexplainingthevariation
in thedependent variableusing the F-statistic
Testsforindividualcoefficients.Weconducthypothesis testingontheestimated
slope coefficientstodetermine if the independent variables makeasignificant
contributiontoexplainingthevariationin thedependentvariable.With multipleregression, thecriticalt-stat isdistributed with n—k—1degreesoffreedom,where n is
the numberof observations and kisthenumberof independent variables
estimated regressionparameter
•with ri—k—1df
t=
standarderrorof regressionparameter
ANOVAis astatisticalprocedurethatattributes thevariationin thedependentvariableto oneoftwo sources:the regression modelortheresiduals(i.e.,theerror term).ThestructureofanANOVAtableisshowninFigure2
Trang 22n—k—1 SST
NotethatRSS+SSE=SST The informationinanANOVAtablecanbe usedto
calculateR2,theT-statistics,and thestandarderrorofestimate(SEE).
Thecoefficient ofdetermination (R2)isthepercentageof thevariation inthedependent variable explained bytheindependent variables
_ regressionsumof squares(RSS)
totalsumof squares(SST)
SST—sumofsquarederrors(SSE)
SST
Inmultipleregression, you alsoneedtounderstandadjustedR2.The adjusted
R2providesa measureofthegoodnessof fit thatadjusts forthenumberof
independent variablesincludedinthemodel
The standarderrorofestimate (SEE) measurestheuncertainty of the valuesofthe
dependentvariablearoundtheregressionline Itisapproximatelyequaltothestandard deviationofthe.residuals.If the relationshipbetween thedependent andindependent variablesisverystrong,theSEEwill below.
standarderrorofestimate(SEE)= ymeansquarederror (MSE)
Testsofallcoefficientscollectively.Forthistest,the null hypothesisisthat all theslope coefficients simultaneously equalzero.Therequiredtest isaone-tailedFriest
andthe calculatedstatistic is:
„ regression mean square (MSR) , , , , , ,
-F= — -5 -- -: withkandn-k- 1df
meansquarederror (MSE)
The F-statistichastwodistinct degreesoffreedom, oneassociatedwith the
Trang 23StudySession 3 QuantitativeMethodsrulefortheF-testis rejectHQif F>Fcriticaj.Remember that thisisalwaysaone-tailed
test.
Rejection of the null hypothesisat astated levelof significance indicatesthatat
leastoneofthecoefficientsissignificantly different thanzero,whichisinterpreted
to meanthatatleastoneof the independentvariables in theregression modelmakesasignificantcontributiontothe explanation of the dependentvariable
Confidence Intervals
The confidenceintervalforaregression coefficientinamultiple regressioniscalculatedandinterpreted exactlythesame aswithasimple linear regression:regression coefficient±(criticalt-value)(standard errorof regressioncoefficient)
Ifzero iscontainedin theconfidenceinterval constructedforacoefficientat adesired significancelevel, weconcludethat theslopeis notstatistically differentfromzero.
Potential ProblemsinRegression Analysis
You should be familiar withthe threeviolationsoftheassumptions ofmultipleregressionand theireffects
Figure3: Problems inRegression Analysis
Conditional
Heteroskedasticity SerialCorrelation Multicollinearity
What is it? Residualvariance
positive correlation)
ToomanyType II
errorsModelMisspecification
Therearesixcommonmisspecificationsof the regressionmodelthatyoushouldbe
awareofand beabletorecognize:
1 Omittingavariable
2. Transformingvariable
Trang 24Study Session 3
Quantitative Methods
3 Incorrectly poolingdata
4 Usingalaggeddependent variableas anindependent variable
5 Forecastingthepast.
6 Measuring independent variables witherror.
Theeffects ofthemodelmisspecificationonthe regressionresultsarebasicallythe
samefor allthemisspecifications:regressioncoefficientsarebiased andinconsistent,whichmeans we canthaveanyconfidenceinourhypothesistestsofthecoefficients
orin thepredictions ofthe model
TIME-SERIESANALYSIS
Cross-Reference to CFA InstituteAssignedTopic Review #13
Typesof TimeSeries
Linear TrendModel
The typicaltime series uses time asthe independent variableto estimatethevalue
oftimeseries(thedependentvariable) inperiodP.
yt= b0 +bj(t)+£t
Thepredicted changeinyisbjandt=1,2, T
Trend modelsarelimitedinthat theyassume timeexplainsthedependentvariable.Also,they tendtobeplagued byvariousassumption violations.TheDurbin-Watson
test statistic canbe usedtocheckforserial correlation A linear trend model may
beappropriate ifthe datapointsseem tobeequally distributed aboveandbelow
thelineand themean is constant.GrowthinGDPand inflation levelsarelikelycandidatesfor linear models
Log-Linear Trend Model
Log-linear regressionassumesthedependent financialvariablegrowsat some constant rate:
—ebo+b](t)
Yt
ln(yt)= ln(eb°+blW)=>ln(yt)= b0 +bL(t)
Trang 25Study Session 3
Quantitative MethodsThe log-linear modelisbestforadataseriesthat exhibitsatrendorforwhich theresidualsarecorrelatedorpredictableor themeanisnon-constant.Mostof the datarelatedtoinvestmentshavesome typeoftrendand thus lend themselvesmore toa
log-linear model Inaddition,anydatathathave seasonalityarecandidatesforalog-linear model Recall thatanyexponential growth data call foralog-linearmodel
Theuseof the transformed data producesalinear trend line withabetterfitforthedataandincreases thepredictive ability ofthemodel.Because thelog-linearmodelmoreaccuratelycapturesthebehaviorof the timeseries,theimpact of serial
correlation intheerror termsisminimized
Autoregressive(AR)Model
InARmodels,the dependent variableisregressedagainstprevious valuesof itself
An autoregressive model of orderpcanbe representedas:
Xc = b0+blxt-l+b2Xt-2+ • + bpXt-p+et
Thereis nolongeradistinctionbetweenthedependent andindependent
variables(i.e., x istheonlyvariable).AnAR(p) modelisspecified correctly if theautocorrelationsof residuals from the modelare notstatistically significantatany
lag
Whentesting forserialcorrelationinanARmodel,don’tusetheDurbin-Watson
statistic.Usea£-test todetermine whether any ofthecorrelationsbetweenresiduals
atanylagarestatistically significant
Ifsome aresignificant,the modelisincorrectlyspecifiedandalaggedvariableattheindicated lag shouldbeadded
Chain RuleofForecasting
Multiperiodforecastingwith ARmodels isdoneoneperiodat a time,where riskincreaseswith each successiveforecast becauseit isbasedonpreviouslyforecastedvalues The calculationofsuccessiveforecastsinthismannerisreferredto as
thechain ruleofforecasting.Aone-period-ahead forecast foran AR(1)modelisdeterminedinthe followingmanner:
xt+l=bo+bixt
Trang 26Oneof the assumptionsunderlyinglinear regressionisthat theresiduals
uncorrelatedwitheach other.Ifa time seriesmodel’s residuals exhibit serial
correlation,the modelis notappropriateforthetime seriesandweshouldnot use
it topredictfutureperformancewithoutmakingappropriatecorrections.
are
CovarianceStationary
Statisticalinferences basedon alaggedtime seriesmodelmaybe invalid unless
we canmakethe assumption that thetime seriesbeingmodeledis covariance
stationary Atime series is covariance stationaryifitsatisfies thefollowingthreeconditions:
1 Constant and finiteexpectedvalue
2. Constantandfinitevariance.
3 Constant and finitecovariancewithleadingorlaggedvalues
Todetermine whethera time series is covariance stationary, we can:
• Plot the datato seeifthemeanandvariance remain constant (oftendetects
seasonality)
8 Runan ARmodel andtestcorrelations
e Perform theDickey-Fullertest (which is a testfora unit root, orifbj—1 isequalto zero).
Ifthetimes seriesdoesnotsatisfytheseconditions, wesayit is not covariance stationary, orthat thereis nonstationarity.Mosteconomicandfinancialtime seriesrelationshipsare notstationary Thedegreeofnonstationaritydependsonthe
lengthoftheseriesand theunderlyingeconomicand marketenvironmentandconditions
Foran AR(1)modelto becovariance stationary,themeanreverting levelmustbe
defined.Stateddifferently,b, mustbe lessthan.one.
If the AR modelis not covariancestationary,we canoftencorrect itwith first
differencing
Trang 27Study Session 3
Quantitative Methods
MeanReversion
Atime series is meanrevertingifittends towardsits mean over time.Themean
reverting level foran AR(1)model is bo
(1-bj)*
Thevalueofthedependentvariable tendstofall when aboveits meanandrise
when below itsmean.
Unit Root
Ifthe valueof thelagcoefficientisequalto one,thetime series issaidtohavea
unit rootand willfollowarandom walkprocess Aserieswitha unit root is not
covariancestationary Economicand financetime seriesfrequentlyhaveunit roots.
Firstdifferencingwillofteneliminate theunit root.Ifthereis a unit root,this
period’svalueisequal tolastperiod’svalueplusarandomerror termandthemean
revertinglevelisundefined
Random Walk
Arandom walktime series is onefor which the value inoneperiodisequalto
the valueinanotherperiod, plusarandom(unpredictable) error.Ifwebelievea
time series is a random walk(i.e.,hasa unit root), we cantransform the datato a covariancestationarytime seriesusingaprocedurecalled firstdifferencing
Random walk withoutadrift:x =x j + e
Random walk withadrift: x£=bQ+x£ _j +8
0 Ineithercase,themeanrevertinglevelisundefined(bj=1), sotheseries is not covariancestationary
0 Needto usefirstdifferencing,and thenewdependentvariableisthechange
in xfromoneperiodtothenext.
FirstDifferencing
The firstdifferencingprocess involvessubtractingthe value of thetime series (i.e.,thedependentvariable) intheimmediately preceding period fromthecurrent
valueof thetime series todefinea newdependentvariable,y.Iftheoriginaltime
serieshasa unit root,thismeans we candefine y as:
Yt=A-N-1=>yt=et
Trang 28Thistransformedtime serieshasafinitemean-revertinglevelof — =0 andis,
Firstdifferencingcan remove atrend'in the data and resultin a covariance
stationaryseries.
Professor’sNote:By takingfirstdifferences,you model thechange
in the valueofthedependent variable rather than the valueofthe
dependentvariable
Seasonality
Seasonalityina time series istestedbycalculatingthe autocorrelationsoferror
terms Astatistically significant laggederror term mayindicateseasonality.To
adjustforseasonalityin anARmodel, anadditionallagof theindependentvariable
(correspondingtothestatistically significant laggederror term) isaddedtothe
originalmodel.Usually,if quarterlydataare used,the seasonallagis4;if monthly
dataare used,the seasonallagis 12.Ifaseasonallagcoefficientisappropriate and
correctstheseasonality,arevised modelincorporatingthe seasonallagwill showno
statisticalsignificanceof thelaggederror terms.
Assessing ForecastAccuracyWith Root MeanSquaredError(RMSE)
Rootmeansquarederror (RMSE) is usedto assessthepredictiveaccuracyof
autoregressivemodels.Forexample,you couldcomparetheresultsofan AR(1)and
an AR(2) model The RMSEisthe squarerootof the average(or mean)squarederror.The model with the lower RMSEisbetter
Out-of-sampleforecastspredictvalues usingamodelfor periods beyondthetime seriesusedto estimatethe model The RMSE ofamodel’sout-of-sampleforecasts
shouldbe usedtocompare the accuracy of alternative models
Trang 29Study Session 3
Quantitative MethodsStructuralChange(CoefficientInstability)
Estimated regressioncoefficients change fromone timeperiodtoanother.There
is atradeoffbetweenthestatisticalreliability ofalongtime seriesand thestability
ofashorttime series.You needto ask,has the economic processor environmentchanged?
Astructural changeisindicatedbyasignificantshift intheplotteddataat apoint
in timethatseems todivide the datainto twodistinctpatterns.When thisisthecase,you haveto run twodifferentmodels, oneincorporating the data before and
oneafter thatdate,andtestwhether thetime series hasactuallyshifted.Ifthetime serieshasshifted significantly,asingletime seriesencompassingtheentireperiod(i.e.,bothpatterns)willlikely produce unreliableresults, sothemost recentmodelmay bemoreappropriate
Cointegration
Cointegrationmeansthattwo time series areeconomically linked (related tothe
same macro variables) orfollowthesametrend and thatrelationshipis notexpected
tochange Iftwo time series arecointegrated,theerror termfrom regressingone on
the otheris covariancestationary and thet- tests arereliable
Totestwhethertwo time series arecointegrated,weregressonevariableon theother using thefollowingmodel:
yt=bo+b1xt+ e
where:
yt=valueoftime seriesyat time t
x(= value.oftime series x at time t
The residualsaretestedfora unit rootusing theDickey-Fullertestwith criticalt-values calculated by EngleandGranger (i.e.,the DF-EGtest).Ifthetest rejectsthenullhypothesisofa unit root, wesay theerror termsgenerated bythetwo time series arecovariance stationary and thetwo series arecointegrated Ifthetwo series
arecointegrated,we can usethe regressiontomodel theirrelationship
Occasionally,ananalystwillrun aregression usingtwo time series (i.e., two time serieswithdifferentvariables).Forexample,to usethe market modelto estimate
Trang 30Study Session 3
Quantitative Methods
the equity beta fora stock,theanalystregressesa time seriesof thestock’sreturns
on atimeseriesofreturnsfor themarket
• Ifbothtime series are covariancestationary, modelisreliable
0 If onlythedependentvariabletime series oronlytheindependenttime series is covariancestationary, the modelis notreliable
• Ifneithertimeseriesiscovariance stationary, you needtocheckfor
cointegration
Autoregressive ConditionalHeteroskedasticity(ARCH)
ARCHdescribes theconditionwhere thevarianceof the residuals inone timeperiodwithina time series isdependentonthevarianceof the residuals inanotherperiod.When this conditionexists,the standard errorsof the regression coefficients
inAR models and thehypothesistestsof these coefficientsareinvalid
TheARCH(l)regression modelisexpressedas:
If thecoefficient,aÿ,isstatisticallydifferentfromzero,the time series is ARCH(l).
Ifa time-seriesmodel has been determinedto containARCHerrors,regressionprocedures thatcorrectforheteroskedasticity,suchasgeneralizedleast squares,
mustbe used in ordertodevelopapredictivemodel.Otherwise,the standarderrors
of the model’s coefficients will beincorrect,leadingtoinvalid conclusions
However,ifa timeserieshas ARCHerrors, anARCH modelcanbe usedtopredict
thevarianceof the residualsinfollowing periods.Forexample, ifthedata exhibit
canbe usedinperiodt topredictthe ARCH(l) pattern,theARCH(l)model
varianceof the residualsinperiodt + 1:
an
Oÿao+ajE?
Trang 31Study Session 3 Quantitative Methods
Summary: The Time-SeriesAnalysis Process
Thefollowingstepsprovideasummaryof thetime-seriesanalysis process.Notethat you maynotneedtogothroughallnine steps.Forexample,noticethatbyStepC,ifthereis noseasonalityorstructuralchangeand the residuals donot
exhibitserialcorrelation,the modelisappropriate
StepA: Evaluatetheinvestment situationyouareanalyzingandselectamodel.If
you choosea time series model,followstepsBthroughI
Step B: Plotthedata and checkthatitis covariancestationarity.Signsof
nonstationarity include lineartrend,exponentialtrends,seasonality,or a
structuralchangein the data
StepC: Ifnoseasonalityorstructuralchange, decidebetweenalinearorlog-linear
model
• Calculatethe residuals
• Checkforserial correlationusing theDurbin-Watsonstatistic
• Ifnoserialcorrelation,modelisappropriateto use.
StepD:Ifyoufindserialcorrelation,prepareto use an autoregressive(AR) model
bymakingit covariancestationary This includes:
* Correcting foralinear trend—usefirstdifferencing
• Correcting foranexponentialtrend—take natural logand first
difference
• Correcting forastructuralshift—estimatethe models before and afterthechange
• Correcting forseasonality—addaseasonallag(seeStepG).
StepE: After theseries is covariancestationary,use an AR(1)modeltomodelthe
data
• Testresidualsforsignificantserial correlations
" Ifnosignificantcorrelation,modelisokayto use.
Step F: Iftheresidualsfrom theAR(1)exhibit serial correlation,use an AR(2)
model
° Testresiduals forsignificantserial correlations
• Ifnosignificantcorrelation,modelisokayto use.
0 If significantcorrelationfound,keep addingtothe ARmodeluntilthereis nosignificantserial correlation
StepG:Check for seasonality
• Plotdata
• Checkseasonalresiduals(autocorrelations)for significance
• Ifresidualsaresignificant,add the appropriatelag (e.g.,formonthlydata,add the12thlagof thetime series).
Step H: Checkfor ARCH
StepI: Testthemodelonout-of-sampledata
Trang 32Economicswillmostlikelybetested by askingyoutoapplytheinvestmenttoolsyoulearninthissectiontothe analysisof equity, fixedincome,and derivative
securities.For example, thelessonslearnedfromeconomicgrowth modelscanbe
appliedtothecredit analysisofsovereigndebt inStudySession14.Asyouread
throughthe Level IIeconomics material,look for linkstosecurityvaluation and
thinkabout howtheconceptsmight be testedas partofabroader valuationitem set.
CURRENCY EXCHANGE RATES: DETERMINATIONANDFORECASTINGCross-Reference to CFA Institute Assigned Topic Review #14
Currency Cross Rates
Across rate istherateofexchangebetweentwo currenciesimplied bytheirexchange
rateswitha commonthirdcurrency.
Supposewe aregiven three currenciesA, B,andC.Wecanhave three pairsof
currencies(i.e.,A/B, A/C,andB/C)
To calculate the profits fromatriangular arbitrage,imagine thatthreecurrencies
eachrepresent a cornerofatriangle Beginwithafirstcurrency(usually given
inthequestion—wecallitthehome currency) and go aroundthetrianglebyexchangingthe home currencyfor thefirstforeigncurrency,then exchanging the
offer 'offer
Trang 33Study Session4
Economics’second foreigncurrencybackintothe homecurrency.Ifweendup withmore
moneythanwestartedwith,we’veearnedanarbitrageprofit
Thebid-askspreadforcesus tobuyacurrencyat ahigherrategoingonewaythan
we cansellitfor going theother way
Followthe“up-the-bid-and-multiplyand down-the-ask-and-divide” rule
Example: Triangular arbitrage
Thefollowingquotes areavailable from your dealer
Quotes:
USD/EUR 1.271-1.272
EUR/GBP1.249-1.250
USD/GBP 1.600-1.601
Isanarbitrage profitpossible? Ifso, computethearbitrageprofitin USDifyou
startwithUSD1million
Answer:
Theimpliedcross rates:
-1,271x1.249=1.587x
GBP'bid EUR'bid GBP 'bid
Trang 34jStudy Session 4
Economics
Thereare twopossible pathsaroundthe triangle(we aregiven thestartingposition in USD): *
Path1 USD-*ÿGBP->EUR USD
Path2:USD EUR—» GBP -»USD
Step 1: Convert 1 million USD into EUR G 1.27.2 -EUR 786,164
Sir/,.2: Convert MR 786, 164 imo C BP C 1.250 - (,BI> 628,931
-Step3 ConvertGBP628,931intoUSD@1.600=USD1,006,289
Arbitrageprofit= USD6,289
Note.Instep 1 , we aregoing fromUSDtoEUR(“down”the USD/EURquote),hencewedivide USD 1 ,000,000by the askrate of 1 272.Thesamelogicis used ;
forsteps 2and 3 Note alsothatwedidnothateto computetheimplied crossrate' tosolve thisproblem:wecould’ve simply computed the end resultusingboth
pathsto seeifeither would giveus anaibitrageprofit
Trang 35Study Session 4
Economics
Mark-to-Market Value ofaForward Contract
Themark-to-marketvalueofaforwardcontractreflects theprofitthat would berealizedbyclosingoutthe positionat currentmarketprices, whichisequivalentto
offsettingthecontractwithanequalandoppositeforwardposition:
_ (FPt—FP)(contract size)
vt
360where:
Vt =valueof theforwardcontract attimet (tothepartybuying thebase
currency), denominatedinthepricecurrency.
FP( =forwardprice(tosell base currency)at time tinthemarketfora new
contractmaturingat timeT[t < T).
days=number ofdaysremainingtomaturity of the forwardcontract (T—t).
R = theinterest rateof the pricecurrency.
Example:Mark-to-market valueofaforwardcontract
YewMun Yip hasenteredinto a90-dayforwardcontractlongCAD1million:against AUDat aforward rateof1.05358AUD/CAD.Thirty daysafter
i initiation,thefollowingAUD/CADquotes areavailable:
Maturity FX Rate
1.0612/1.0614Spot
*14.67+16.8
+42.37+48.3The followinginformation isavailable(at t=30)for AUDinterest rates:
Trang 36Study Session 4
Economics
sj <v vt< g | cÿ |g tSÿ | *• n % i \ pH
Yip’scontractcalls forlongCAD (i.e.,conveningAID toCADYTo value the .
contractv.wewould lookto unwind the position.To unwind the position, Yip
can-'takeanoffsettingposition in a nowforward contractwith thesamematurity
Hence Yip.wotild.be sel-iing-CAD.-in exchangeforAUD- and',hence,goingup thehit!(i.e., usethe hid price) Note thatalter30days.OQ.moredaysremain in the
relativeto A l 'D since int option of the connect.Y ipcan close out the, contract on
that:d.r> and weaveAUD8,463.64.
International ParityConditions
Note: Exchangerates (whereapplicable) below follow theconventionofA/B.Covered interestarbitrage:
Coveredinterest rateparityholdswhen anyforwardpremiumordiscountexactlyoffsets differencesin interest rates so an investorwouldearnthesame return
investingineithercurrency Coveredin thiscontext means itholdsby arbitrage
I+RA|—360
|i+rb|days So
Trang 37Study Session 4
EconomicsUncoveredinterest rateparity:
Uncoveredinterest rateparityrelates expectedfuturespotexchangerates (insteadofforward exchangerates) to interest ratedifferentials.Sincetheexpectedspotpriceis notmarkettraded, uncoveredinterest rateparity doesnot hold by arbitrage
!+ RA I
1+ RB J
E(St) =expectedspot rate at time t= (S0)
Comparing coveredand uncoveredinterestparity,we seethat covered interestrate
parity givesustheno-arbitrageforwardexchangerate,while uncoveredinterest rate
parity givesustheexpected futurespotexchangerate (which is notmarkettraded).
InternationalFisher relation:
Relativepurchasingpower parity(relative PPP) statesthatchangesinexchange
ratesshouldexactlyoffset the priceeffects ofanyinflationdifferential between two countries.
Relative PPP:
1+inflationÿ
St- S0 1
+inflationÿ
Trang 38Study Session4
Economics
Figure1:The International ParityRelationshipsCombined
Uncovered Interest Rate ParityExchangeRate
Differentials
Inflation Rate
Covered Interest Parity
• Coveredinterestparity holdsby arbitrage.If forwardrates areunbiased
predictorsoffuturespot rates,uncoveredinterest rateparity also holds(and vice versa).
• Interestratedifferentialsshouldmirrorinflation differentials This holdstrueif
the internationalFisher relationholds.Ifthatis true, we canalsouseinflationdifferentialstoforecastfuture exchangerateswhichisthe premise of theex-ante versionof PPP
8 Bycombining relative purchasingpower parity with the international Fisher
relation, we getuncovered interestrateparity
RealExchangeRates
IfrelativePPPholdsatanypoint intime,the realexchangeratewill beconstant,
andiscalled theequilibriumrealexchangerate.However,sincerelativePPPseldomholdsover theshortterm,the realexchangeratefluctuates aroundthismean-revertingequilibriumvalue
realexchangerate (A/B) =equilibriumrealexchangerate
+ (real interestrateB-realinterestrateA)
Trang 39Study Session 4
Economics
Severalobservationscanbe made about therelationshipidentified above:
• Thisrelationship should onlybe usedto assessthe directionofchange(i.e.,appreciate/depreciate)in realexchangeratesrather than preciseestimatesof
exchangerates.
• In theshortterm,therealvalueofa currencyfluctuatesarounditslong-term,equilibriumvalue
* The real valueofa currency ispositivelyrelatedto itsreal interestrateand
negativelyrelatedtothe risk premiuminvestorsdemandfor investing inassets
denominatedin thecurrency
8 The realinterest rateincreases when the nominalinterest rateincreases(keeping
inflation expectationsunchanged)orwhenexpected inflationdecreases(keeping
nominalinterest ratesunchanged)
TaylorRule
TheTaylorrule links the centralbanks policyrate to economicconditions
(employmentlevel andinflation)andcanbe usedtoforecast exchangerates.Under
theTaylorrule,the realinterest rate ispositivelyrelatedtobothinflationgap and
outputgap
realinterest rate=r = rn+ a(tt - IT*) +(3(y-y*)
where:
r =Taylorruleimpliedrealpolicyinterest rate
rn =Neutralrealpolicyinterest rate
=Current inflationrate
7t* = Central bank’stargetinflation rate
=logofcurrentlevelofoutput
y* =logof central bank’starget (sustainable)output
a, (3 =policyresponse coefficients(>0;Taylor suggesl-edavalueof0.5 forboth)
71
Y
TheTaylorrule advises that thepolicyrateshould be raisedin responsetopositiveinflation andoutputgaps
Becauseexchangerates arepositivelyrelated tothe realinterest rateina country
(due tocapital inflowsto countrieswith highrealinterest rates),exchangerates
should also bepositivelyrelatedtoinflationgaps andoutputgaps
TheFXCarry Trade
TheFXcarry trade seekstoprofitfrom the failure of uncoveredinterest rateparity
toholdin the shortrun.InanFXcarry trade,the investorinvests in ahigh-yield
Trang 40Study Session 4
Economics
currencywhile borrowinginalow-yieldcurrency.Ifthehigher yieldcurrencydoes
notdepreciate bytheinterest ratedifferential, theinvestormakesaprofit
profitoncarry trade
=interestdifferential-changein thespotrateofinvestment currency
The carry trade isinherentlyaleveragedtrade thatisexposedtocrashrisk, asthe
underlyingreturndistributions of carry tradesarenon-normal (negativeskewnessandexcess kurtosis).Riskmanagementincarrytrade may beimplemented through
avaluationfilteror avolatilityfilter
BalanceofPayments(BOP)Analysis
BOPinfluenceonexchangerates canbeanalyzedbasedon current account
influenceandcapitalaccountinfluence
Currentaccountinfluences include:
• Flow mechanism: A current accountdeficit putsdownwardpressureonthe
exchangevalueofacountry’scurrency.The decreaseinthevalueof thecurrencymayrestorethecurrent accountdeficitto abalancedependingonthe initial
deficit,theinfluenceofexchangerates on exportand import prices, and thepriceelasticity ofdemand of tradedgoods
* Portfoliocomposition mechanism- Investorcountrieswithcapitalaccount
deficits(and current accountsurpluses)may find theirportfoliosdominated
byinvestmentsincountriespersistently running capitalaccountsurpluses(and current account deficits).If/when theinvestor countriesrebalance their
portfolios,theinvesteecountries’currenciesmaydepreciate
• Debtsustainability mechanism-.Acountryrunninga current accountdeficitmay
berunningacapitalaccountsurplus by borrowingfrom abroad When the level
of debtgets toohighrelative'to GDP, investorsmayquestion thesustainability
of this level ofdebt,leadingto arapid depreciationof the borrower’scurrency.Capitalaccountinflows(outflows) are oneof the majorcausesof appreciation
(depreciation) ofacountry’scurrency
ApproachestoExchangeRate Determination
1 Mundell-Fleming model
Figure2showsthe impact ofmonetaryand fiscal policiesin theshortrunundertheMundell-Fleming model