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Modely úrokových měr ve spojitém čase
dc.contributor.advisorCipra, Tomáš
dc.creatorGarajová, Jana
dc.date.accessioned2017-03-27T12:02:11Z
dc.date.available2017-03-27T12:02:11Z
dc.date.issued2006
dc.identifier.urihttp://hdl.handle.net/20.500.11956/4465
dc.description.abstractThe core of this work is to introduce the probabilistic techniques used in widely applied financial models and to formulate the term structure of interest rates using the continuous-time no-arbitrage framework. Stochastic processes in this work are mean-reverting, because over the long time horizon, interest rates have the tendency to revert to their average long-term levels. All the short rate models explained are Ito processes based on the Brownian motion, which onebyone define the parameters to best represent the real behavior of interest rates in continuous time. Examples and graphs are provided for illustration of the key results.en_US
dc.languageEnglishcs_CZ
dc.language.isoen_US
dc.publisherUniverzita Karlova, Matematicko-fyzikální fakultacs_CZ
dc.titleInterest rates models in continous timeen_US
dc.typediplomová prácecs_CZ
dcterms.created2006
dcterms.dateAccepted2006-05-16
dc.description.departmentKatedra pravděpodobnosti a matematické statistikycs_CZ
dc.description.departmentDepartment of Probability and Mathematical Statisticsen_US
dc.description.facultyMatematicko-fyzikální fakultacs_CZ
dc.description.facultyFaculty of Mathematics and Physicsen_US
dc.identifier.repId42155
dc.title.translatedModely úrokových měr ve spojitém časecs_CZ
dc.contributor.refereeDostál, Petr
dc.identifier.aleph000840981
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.programMathematicsen_US
thesis.degree.programMatematikacs_CZ
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 core of this work is to introduce the probabilistic techniques used in widely applied financial models and to formulate the term structure of interest rates using the continuous-time no-arbitrage framework. Stochastic processes in this work are mean-reverting, because over the long time horizon, interest rates have the tendency to revert to their average long-term levels. All the short rate models explained are Ito processes based on the Brownian motion, which onebyone define the parameters to best represent the real behavior of interest rates in continuous time. Examples and graphs are provided for illustration of the key results.en_US
uk.publication.placePrahacs_CZ
uk.grantorUniverzita Karlova, Matematicko-fyzikální fakulta, Katedra pravděpodobnosti a matematické statistikycs_CZ


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