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Selected approaches for testing asset pricing models using Polish stock market data

creativeworkseries.issn1896-8325
dc.contributor.authorCzapkiewicz, Anna
dc.contributor.authorSkalna, Iwona
dc.date.available2024-04-03T11:40:39Z
dc.date.issued2014
dc.description.abstractThe main objective of this paper is to discuss alternative methods for testing the Fama-French (FF) three-factor asset pricing model. The properties of the selected methods are compared through a simulation study. The main stress is put on the behaviour of the selected methods for small samples. The parameters used in the simulation study are obtained on the basis of real data coming from the Polish stock market (Warsaw Stock Exchange). Different sample characteristics such as homoscedasticity, conditional heteroscedasticity and autocorrelation as well as heteroscedasticity are tested.en
dc.description.placeOfPublicationKraków
dc.description.versionwersja wydawnicza
dc.identifier.doihttp://dx.doi.org/10.7494/dmms.2014.8.1.25
dc.identifier.eissn2300-7087
dc.identifier.issn1896-8325
dc.identifier.urihttps://repo.agh.edu.pl/handle/AGH/107780
dc.language.isoeng
dc.publisherWydawnictwa AGH
dc.relation.ispartofDecision Making in Manufacturing and Services
dc.rightsAttribution 4.0 International
dc.rights.accessotwarty dostęp
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subjectFama-French three-factor modelen
dc.subjectsystematic risken
dc.subjectrisk premiumen
dc.subjectWarsaw Stock Exchangeen
dc.subjectsmall sample problemen
dc.titleSelected approaches for testing asset pricing models using Polish stock market data
dc.title.relatedDecision Making in Manufacturing and Services
dc.typeartykuł
dspace.entity.typePublication
publicationissue.issueNumberNo. 1/2
publicationissue.paginationpp. 25-38
publicationvolume.volumeNumberVol. 8
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relation.isAuthorOfPublication827df5f9-3b37-4b5f-b540-1a471f22a8d1
relation.isAuthorOfPublication.latestForDiscovery1c8ee3b8-8f73-408c-ba2d-9c097dc262af
relation.isJournalIssueOfPublication4fcaa5bd-e97f-4798-9f7b-022594b78c47
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