ramaprasad bhar & shigeyuki hamori 2005 empirical techniques in finance springer (springer finance)外语英文电子书

ramaprasad bhar & shigeyuki hamori 2005 empirical techniques in finance springer (springer finance)外语英文电子书

ID:7966107

大小:6.71 MB

页数:243页

时间:2018-03-03

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1、SpringerFinanceRamaprasadBharShigeyukiHamoriEmpiricalTechniquesinFinanceWith30Figuresand30Tables123ProfessorRamaprasadBharSchoolofBankingandFinanceTheUniversityofNewSouthWalesSydney2052AustraliaE-mail:r.bhar@unsw.edu.auProfessorShigeyukiHamoriGraduateSchoolofEconomicsKobeUniversityRokkodai,Nada-Ku

2、,Kobe657-8501JapanE-mail:hamori@econ.kobe-u.ac.jpMathematicsSubjectClassification(2000):62-02,62-07Cataloging-in-PublicationDataLibraryofCongressControlNumber:2005924539ISBN3-540-25123-5SpringerBerlinHeidelbergNewYorkThisworkissubjecttocopyright.Allrightsarereserved,whetherthewholeorpartofthemater

3、ialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation,broadcasting,reproductiononmicrofilmorinanyotherway,andstorageindatabanks.Duplicationofthispublicationorpartsthereofispermittedonlyundertheprovi-sionsoftheGermanCopyrightLawofSeptember9,1965,initscurrentvers

4、ion,andper-missionforusemustalwaysbeobtainedfromSpringer-Verlag.ViolationsareliableforprosecutionundertheGermanCopyrightLaw.SpringerisapartofSpringerScience+BusinessMediaspringeronline.com©Springer-VerlagBerlinHeidelberg2005PrintedinGermanyTheuseofgeneraldescriptivenames,registerednames,trademarks

5、,etc.inthispublicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevantprotectivelawsandregulationsandthereforefreeforgeneraluse.Coverdesign:design&productionProduction:HelmutPetriPrinting:StraussOffsetdruckSPIN11401841Printedonacid-freepaper–43/3153–543210Tabl

6、eofContents1Introduction12BasicProbabilityTheoryandMarkovChains2.1RandomVariables2.2FunctionofRandomVariable2.3NormalRandomVariable2.4LognormalRandomVariable2.5MarkovChains2.6PassageTime2.7ExamplesandExercisesReferences3EstimationTechniques193.1Models,ParametersandLikelihood-AnOverview193.2Maximum

7、LikelihoodEstimationandCovarianceMatrixof20Parameters3.3MLEExample-ClassicalLinearRegression223.4DependentObservations233.5PredictionErrorDecomposition243.6SeriallyCorrelatedErrors-Overview253.7ConstrainedOptimiz

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