Parameter Estimation for Dynamic Model of the Financial System

dc.contributor.authorNovotná, Veronikacs
dc.contributor.authorŠtěpánková, Vladěnacs
dc.coverage.issue6cs
dc.coverage.volume63cs
dc.date.issued2015-12-25cs
dc.description.abstractEconomy can be considered a large, open system which is influenced by fluctuations, both internal and external. Based on non-linear dynamics theory, the dynamic models of a financial system try to provide a new perspective by explaining the complicated behaviour of the system not as a result of external influences or random behaviour, but as a result of the behaviour and trends of the system's internal structures. The present article analyses a chaotic financial system from the point of view of determining the time delay of the model variables - the interest rate, investment demand, and price index. The theory is briefly explained in the first chapters of the paper and serves as a basis for formulating the relations. This article aims to determine the appropriate length of time delay variables in a dynamic model of the financial system in order to express the real economic situation and respect the effect of the history of factors under consideration. The determination of the delay length is carried out for the time series representing Euro area. The methodology for the determination of the time delay is illustrated by a concrete example.en
dc.description.abstractEconomy can be considered a large, open system which is influenced by fluctuations, both internal and external. Based on non-linear dynamics theory, the dynamic models of a financial system try to provide a new perspective by explaining the complicated behaviour of the system not as a result of external influences or random behaviour, but as a result of the behaviour and trends of the system's internal structures. The present article analyses a chaotic financial system from the point of view of determining the time delay of the model variables - the interest rate, investment demand, and price index. The theory is briefly explained in the first chapters of the paper and serves as a basis for formulating the relations. This article aims to determine the appropriate length of time delay variables in a dynamic model of the financial system in order to express the real economic situation and respect the effect of the history of factors under consideration. The determination of the delay length is carried out for the time series representing Euro area. The methodology for the determination of the time delay is illustrated by a concrete example.en
dc.formattextcs
dc.format.extent2051-2055cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 2015, vol. 63, issue 6, p. 2051-2055.en
dc.identifier.doi10.11118/actaun201563062051cs
dc.identifier.issn1211-8516cs
dc.identifier.orcid0000-0001-9360-3035cs
dc.identifier.other119734cs
dc.identifier.scopus55546358800cs
dc.identifier.urihttp://hdl.handle.net/11012/203250
dc.language.isoencs
dc.publisherMendel University in Brnocs
dc.relation.ispartofActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensiscs
dc.relation.urihttps://acta.mendelu.cz/63/6/2051/cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1211-8516/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectfinancial systemen
dc.subjectdynamic systemen
dc.subjecttime delayen
dc.subjectinvestment demanden
dc.subjectinterest rateen
dc.subjectprice indexen
dc.subjectfinancial system
dc.subjectdynamic system
dc.subjecttime delay
dc.subjectinvestment demand
dc.subjectinterest rate
dc.subjectprice index
dc.titleParameter Estimation for Dynamic Model of the Financial Systemen
dc.title.alternativeParameter Estimation for Dynamic Model of the Financial Systemen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-119734en
sync.item.dbtypeVAVen
sync.item.insts2025.10.14 14:14:05en
sync.item.modts2025.10.14 09:42:17en
thesis.grantorVysoké učení technické v Brně. Fakulta podnikatelská. Ústav informatikycs

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