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Economic evolution of Turkish stock market: a regime switching approach

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorRodrigues, Paulo Manuel Marques
dc.contributor.authorElvanlioglu, Can
dc.date.accessioned2021-08-18T09:49:13Z
dc.date.available2021-08-18T09:49:13Z
dc.date.issued2021-01-13
dc.date.submitted2021-01-06
dc.description.abstractThis work project compares simple linear predictive regressions and regime switching predictive regression, to analyse time varying predictability of the stock returns in XU100 index. The approach is to compare regression statistics in-sample and to compare error statistics and predictive graphs out-of-sample. Findings reveal that employing predictive regime switching models reflect arbitrage opportunities better than predictive linear models in-sample. Out-of-sample analysis, however, provide no evidence for high predictive power for either predictive linear models or regime switching models.pt_PT
dc.identifier.tid202740501pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/122670
dc.language.isoengpt_PT
dc.relationNova School of Business and Economics
dc.subjectStock returnspt_PT
dc.subjectPredictabilitypt_PT
dc.subjectRegime switching modelspt_PT
dc.subjectTime varying predictabilitypt_PT
dc.titleEconomic evolution of Turkish stock market: a regime switching approachpt_PT
dc.typemaster thesis
dspace.entity.typePublication
oaire.awardNumberUID/ECO/00124/2013
oaire.awardTitleNova School of Business and Economics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FECO%2F00124%2F2013/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
relation.isProjectOfPublication644a3f4f-817b-4d0d-aba6-f98cdca28bc7
relation.isProjectOfPublication.latestForDiscovery644a3f4f-817b-4d0d-aba6-f98cdca28bc7
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economicspt_PT

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