9300 ASSIGNMENT 1 MONASH UNIVERSITY.docx

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9300 ASSIGNMENT 1 MONASH UNIVERSITY.docx

9300ASSIGNMENT1MONASHUNIVERSITY

LinearRegressionAnalysisAssignment

1.Introduction

1.1.DataSetting

Accordingtotherawsourceofthisassignment,theoriginaldatahavecollectedthedailydigitsofASX200index,twoindustry-portfolios(bankingandtelecom)andtheannualreturnrateof90-daysgovernmentbond(1yearconsistsof365days)from17October2001to31January2012.

Beforestartingthisanalysis,weassumethatthereturnrateofASX200indexand90-daysgovernmentbondcanrepresentforthereturnrateofmarketportfolio(Rmt)andriskfreeasset(Rft).Basedonthesetimeserialdata,weemploythecontinuouslycompoundedlogreturntocalculatethereturnrateofASX200indexandtwoindustry-portfolios.Forexample,thereturnrateofASX200indexis:

WhereRmtisthedailyreturnrateofASX200index,ASX200isthevalueofASX200indexatdayt,ASX200(-1)isthedigitASX200indexatdayt-1.WecangetthedailyreturnrateoftelecomportfolioandbankingportfoliobyrunningthesameprocessinEviews,respectivelyareR1tandR2t.

Becausetheriskfreereturnisannualreturnrateof90-daysgovernmentbond,toemployallfactorsofCAPMequationatsametimefrequency,wedividetheannualreturnrateof90-daysgovernmentbondby365days.

1.2.AnalysingEquationofCAPM

Afterthedatareprocession,weestablishtheequationofsimplelinearregressionanalysisfollowingtheCAPMtheory:

Rjtrepresentsthereturnrateofportfoliojatdayt(telecomj=1,bankingj=2),Rftistheriskfreerateatdayt,Rmtisthereturnofmarketportfolioatdayt,μjtistheerrortermofportfoliojatdayt,αjandβjarethecoefficientswhichwillbeestimated.

2.RegressionEquation

2.1.RegressionEquationofTelecomPortfolio

TheeconometricmodelofCAPMfortelecomportfolioispresentedasbelow:

EmpolyR1t-RftandRmt-Rftasthetwovariables(y1andx)toestimatetheequationinEviews,theresultisexpressedas:

Table1ResultofLinearRegressionofTelecomPortfolio

Ifweusea1andb1torepresenttheestimatedvalueofα1andβ1,thefittedregressionequationoftelecomportfoliois:

Itshouldbenoticedthatr-squareofthisequationis18.37%,whichmeans18.37%datacanbeexplainedbytheregressionanalysis.Since0

2.2.RegressionEquationofBankingPortfolio

TheequationofCAPMforbankingportfoliois:

ConsiderR2t-RftandRmt-Rftasthetwovariables(y2andx)intheequation,theresultoflinearregressionanalysisis:

Table2ResultofLinearRegressionofBankingPortfolio

Theresultpresentsthatifa2andb2aretheestimatedvaluesofα2andβ2,thefittedregressionlineofbankingportfoliowillbe:

Comparedwiththefittedequationoftelecomportfolio,r-squareofbankingportfolioregressionis67.62%,whichmeansthisfittedequationcanexplainthedatamoreaccurately.Becauseb1>1,thebankingportfolioisanaggressiveportfoliowhichhasgreatervolatilitythanthemarketportfolio.Sincea2=0.00016,thebankingportfoliohasextrareturnbesidetheriskfreeasset,butitisalmost0.

3.HypothesisTestofFittedRegressionEquation

3.1.HypothesisTestofα1

Ifweassumethehypothesisaboutα1as:

H0:

α1=0Therearenoextrareturnsoverthereturnofriskfreeassetwhichcanbemadefromtelecomportfolio

H1:

α1≠0Thereareextrareturnsoverthereturnofriskfreeassetwhichcanbemadefromtelecomportfolio

Then,setupthesignificantlevelat5%.Therearetwowaytoprocessthehypothesistest.Thetestingprocedureisasbelow:

(1)P-valueTest

P-valueisthepossibilitythatwegetthecurrentestimatewhenthenullhypothesisistrue,α1=0.AccordingtoTable1,thep-valueofα1is17.85%,whichisgreaterthansignificantlevel.Wefailtorejectthenullhypothesisunderthesignificantlevelis5%.

(2)Two-tailedT-statisticTest

Applythesamehypothesis,wecalculatethet-statisticvalueofα1employingtheformulaasbelow,whichalsocanbegainedfromTable1:

BasedonthehypothesisH0:

α1=0andH1:

α1≠0,two-tailedtestwillbemoresuitableforthistestratherthenone-tailedtest.Then,thet-criticalvalueoftwo-tailedtest,|tcritical|=1.960878,whichcanbegainedunderthecondition:

5%significantlevel,2.5%oneachrejectionregion,2600observations,2degreeoffreedomand2variables.Itisobviousthat|tα1|<|tcritical|,wefailtorejectthenullhypothesiswith5%significantlevel.

(3)Discussion

Followingthetest,weconcludethatwhenp-value>significantlevelor|tstatistic|<|tcritical|,thenullhypothesiswillbefailedtoreject,H0canbeaccpeted(α1=0).Itindicatesthatthereturnoftelecomportfoliotendstoberelatedtotheriskpremiumofmarketportfoliosignificantly,α1haslesscontributiononinfluencingthedependentvariabley1.Inanotherword,peoplehavelesschancetoearninvestingreturnmorethanthereturnofriskfreeassetwhentheriskpremiumofmarketportfolioisequalto0.

3.2.HypothesisTestofα2

Thehypothesisaboutα2is:

H0:

α2=0Therearenoextrareturnsoverthereturnofriskfreeassetwhichcanbemadefrombankingportfolio

H1:

α2≠0Thereareextrareturnsoverthereturnofriskfreeassetwhichcanbemadefrombankingportfolio

Then,thesignificantlevelremainsat5%.

(1)P-valueTest

Thep-valueofα2is99.19%(SeeTable2),whichisdistinctlygreaterthansignificantlevel.Itshouldacceptthenullhypothesiswhenthesignificantlevelis5%.

(2)Two-tailedT-statisticTest

Applythesamehypothesis,wecalculatethet-statisticvalueofα2employingtheformulaasbelow,whichisalsoexpressedinTable2:

Comparedwitht-criticalvalueoftwo-tailedtestunderthesamecondition,|tcritical|=1.960878.Because|tα2|<|tcritical|,wefailtorejectthenullhypothesis.

(3)DiscussionandSummary

Accordingtothetestabove,itissameasthehypothesistestofα1,thenullhypothesisofα2isfailedtoreject.Thereturnofbankingportfoliorelativelydependsontheriskpremiumofmarketportfolioratherthantheextrareturnoverthereturnofriskfreeasset.Therearenoextrareturnovertheriskfreeassetcanbemadefromthebankingportfolio.

Insummary,whenthep-valueofαj(telecomj=1,bankingj=2)isgreaterthanthesignificantlevelorthet-statisticvalueofαjislessthanthet-criticalvalueundertheconditionabove,thehypothesesofαjisfailedtoreject.Butitshouldbeawarethatα1=-0.0294,andα2=0.00016whicharecloseto0,especiallyforα1.Itimpliesthatthecorrespondingportfolioshaveextremelytinyextrareturnovertheriskfreeasset,whichcansupporttherejectionsofnullhypothesesinanotherway.

3.3.HypothesisTestofβ1,β1≠1

Thehypothesisaboutβ1is:

H0:

β1=1Thetelecomportfolioisatrackingportfoliowhichtracksthemarketportfolioexactly

H1:

β1≠1Thetelecomportfolioisnotatrackingportfoliowhichtracksthemarketportfolioexactly

(1)Two-tailedT-statisticTest

Thet-statisticvalueofβ1isexhibitedasbelowwhenthenullhypothesisisβ1=1:

Undertheconditionthat5%significantlevel,2.5%oneachrejectionregion,2600observationsand2degreeoffreedomand2variables,|tcritical|isequalto1.960878,|tβ1|>|tcritical|,werejectthenullhypothesis.

(2)Discussion

When|tstatistic|>|tcritical|,thenullhypothesiswillberejected.Inthistwo-tailedtest,thenullhypothesisisβ1=1.Ifwerejectthat,itmeansthatthetelecomportfolioisnottrackingportfoliowhichtracksthemarketportfolioexactly.

3.4.HypothesisTestofβ2,β2≠1

(1)Two-tailedT-statisticTest

Thehypothesisaboutβ2is:

H0:

β2=1Thebankingportfolioisatrackingportfoliowhichtracksthemarketportfolioexactly

H1:

β2≠1Thebankingportfolioisnotatrackingportfoliowhichtracksthemarketportfolioexactly

Thet-statisticvalueofβ2isasbelow:

Becasuetcriticalisequalto1.960878,|tβ2|>|tcritical|,werejectthenullhypothesisunderthespecificcondition.

(2)Discussion

Wefailtorejectthenullhypothesis,thebankingportfolioisnottrackingportfoliowhichtracksthemarketportfolioexactly.Butthereisanotherissueweshouldmention,thesetwo-tailedtestsaboutβ1andβ2onlyconcludethatβ1≠1andβ2≠1underaspecificconditionaswehaveexpressedbefore,whiletheotherhypothesesaboutβ1andβ2havenotbeentested,suchasβ1>1,0<β1<1,β1=0,-1<β1<0orβ1=-1.

3.5.HypothesisTestofβ2,β2>1

Thehypothesisaboutβ2is:

H0:

β2=1Thetelecomportfolioisatrackingportfoliowhichtracksthemarketportfolioexactly

H1:

β2>1Thetelecomportfolioisanaggressiveportfoliowhichhasgreatervolatilitythanthemarketportfolio

(1)One-tailedT-statisticTest

Accordingtothehypothesis,thetestingmethodpreferstotheone-tailedtestratherthanthetwo-tailedtest.Recalltheconditionoft-statistictest,thesignificantlevelis5%,insteadof2.5%oneachrejectionregionoftwo-tailedtest,one-tailedtestsets5%ononerejectionregion.

Aswehavecalculatedthatthet-statisticvalueofβ2is4.515676.Whilethet-criticalvalueofone-tailedtesthaschangedto1.64544.Itissignificantthat|tβ2|>|tcritical|,whichmeansthatwecanrejectofthenullhypothesisaboutβ2.

(2)DiscussionandSummary

Sincewehaverejectedthenullhypothesisofβ2,β2>1isacceptable.InthecontextofCAPM,thebankingportfolioismorelikeanaggressiv

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