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Modern Approach To Financial Time Series Analysis
dc.contributor.advisorZichová, Jitka
dc.creatorHybler, Eduard
dc.date.accessioned2017-04-07T15:01:51Z
dc.date.available2017-04-07T15:01:51Z
dc.date.issued2008
dc.identifier.urihttp://hdl.handle.net/20.500.11956/14204
dc.description.abstractThis thesis is devoted to the multivariate canonical ARMA model and then continues with determination of a graphical model. Graphical model includes also relations between contemporaneous variables, not only dependence on past variables. In the practical part of this work canonical AR model is identi ed using software Mathematica. In this model we specify structural autoregresion according to the graphical models methodology. A time series of exchange rates was processed. It is together with program included on the enclosed CD.en_US
dc.languageČeštinacs_CZ
dc.language.isocs_CZ
dc.publisherUniverzita Karlova, Matematicko-fyzikální fakultacs_CZ
dc.titleModerní přístupy k analýze finančních časových řadcs_CZ
dc.typediplomová prácecs_CZ
dcterms.created2008
dcterms.dateAccepted2008-02-06
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.repId43530
dc.title.translatedModern Approach To Financial Time Series Analysisen_US
dc.contributor.refereeHurt, Jan
dc.identifier.aleph001174046
thesis.degree.nameMgr.
thesis.degree.levelmagisterskécs_CZ
thesis.degree.disciplineFinancial and insurance mathematicsen_US
thesis.degree.disciplineFinanční a pojistná matematikacs_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.csFinanční a pojistná matematikacs_CZ
uk.degree-discipline.enFinancial and insurance mathematicsen_US
uk.degree-program.csMatematikacs_CZ
uk.degree-program.enMathematicsen_US
thesis.grade.csDobřecs_CZ
thesis.grade.enGooden_US
uk.abstract.enThis thesis is devoted to the multivariate canonical ARMA model and then continues with determination of a graphical model. Graphical model includes also relations between contemporaneous variables, not only dependence on past variables. In the practical part of this work canonical AR model is identi ed using software Mathematica. In this model we specify structural autoregresion according to the graphical models methodology. A time series of exchange rates was processed. It is together with program included on the enclosed CD.en_US
uk.publication.placePrahacs_CZ
uk.grantorUniverzita Karlova, Matematicko-fyzikální fakulta, Katedra pravděpodobnosti a matematické statistikycs_CZ


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