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Cointegrated Time Series Models
dc.contributor.advisorLachout, Petr
dc.creatorMikoška, Marek
dc.date.accessioned2017-04-10T10:46:53Z
dc.date.available2017-04-10T10:46:53Z
dc.date.issued2008
dc.identifier.urihttp://hdl.handle.net/20.500.11956/14878
dc.description.abstractThe thesis deals with the concept of cointegration which represents appropriate tool in the analysis of nonstationary processes. First we summarized most commonly used test for the presence of the unit root in individual time series. Next we concentrate on the models which are commonly used in the cointegration analysis of the time series. We are extensively described error-correction (EC) model which could be used in the analysis of few cointegrating relations. We also pay attention to testing of the linear restrictions on cointegrating relations and testing the hypothesis of weekly exogeneity of examined series by employing likelihood ratio. For the single equation cointegration analysis we described autoregressive distributed lags model (ADL) in detail. We illustrated straight connection between EC and ADL models. Next we introduce the models VAR, VMA, Phillips triangular representation and cointegrating regression.We were concerned with description of relationships between models and we summarized their advantages and disadvantages. Final we illustrated theoretical results in the analysis of the real time series. In the final choice of model we could reduced vector error-correction model to single equation ADL model without the loss of e±ciency and we could verified the relationship between them. By...en_US
dc.languageČeštinacs_CZ
dc.language.isocs_CZ
dc.publisherUniverzita Karlova, Matematicko-fyzikální fakultacs_CZ
dc.titleModely kointegovaných časových řadcs_CZ
dc.typediplomová prácecs_CZ
dcterms.created2008
dcterms.dateAccepted2008-05-12
dc.description.departmentDepartment of Probability and Mathematical Statisticsen_US
dc.description.departmentKatedra pravděpodobnosti a matematické statistikycs_CZ
dc.description.facultyMatematicko-fyzikální fakultacs_CZ
dc.description.facultyFaculty of Mathematics and Physicsen_US
dc.identifier.repId43906
dc.title.translatedCointegrated Time Series Modelsen_US
dc.contributor.refereeCipra, Tomáš
dc.identifier.aleph000971534
thesis.degree.nameMgr.
thesis.degree.levelmagisterskécs_CZ
thesis.degree.disciplineProbability, mathematical statistics and econometricsen_US
thesis.degree.disciplinePravděpodobnost, matematická statistika a ekonometriecs_CZ
thesis.degree.programMatematikacs_CZ
thesis.degree.programMathematicsen_US
uk.thesis.typediplomová prácecs_CZ
uk.taxonomy.organization-csMatematicko-fyzikální fakulta::Katedra pravděpodobnosti a matematické statistikycs_CZ
uk.taxonomy.organization-enFaculty of Mathematics and Physics::Department of Probability and Mathematical Statisticsen_US
uk.faculty-name.csMatematicko-fyzikální fakultacs_CZ
uk.faculty-name.enFaculty of Mathematics and Physicsen_US
uk.faculty-abbr.csMFFcs_CZ
uk.degree-discipline.csPravděpodobnost, matematická statistika a ekonometriecs_CZ
uk.degree-discipline.enProbability, mathematical statistics and econometricsen_US
uk.degree-program.csMatematikacs_CZ
uk.degree-program.enMathematicsen_US
thesis.grade.csVýborněcs_CZ
thesis.grade.enExcellenten_US
uk.abstract.enThe thesis deals with the concept of cointegration which represents appropriate tool in the analysis of nonstationary processes. First we summarized most commonly used test for the presence of the unit root in individual time series. Next we concentrate on the models which are commonly used in the cointegration analysis of the time series. We are extensively described error-correction (EC) model which could be used in the analysis of few cointegrating relations. We also pay attention to testing of the linear restrictions on cointegrating relations and testing the hypothesis of weekly exogeneity of examined series by employing likelihood ratio. For the single equation cointegration analysis we described autoregressive distributed lags model (ADL) in detail. We illustrated straight connection between EC and ADL models. Next we introduce the models VAR, VMA, Phillips triangular representation and cointegrating regression.We were concerned with description of relationships between models and we summarized their advantages and disadvantages. Final we illustrated theoretical results in the analysis of the real time series. In the final choice of model we could reduced vector error-correction model to single equation ADL model without the loss of e±ciency and we could verified the relationship between them. By...en_US
uk.publication.placePrahacs_CZ
uk.grantorUniverzita Karlova, Matematicko-fyzikální fakulta, Katedra pravděpodobnosti a matematické statistikycs_CZ
dc.identifier.lisID990009715340106986


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