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dc.creatorSarvan, Darko
dc.creatorStratimirović, Đorđe
dc.creatorBlesić, Suzana
dc.creatorMiljković, Vladimir
dc.date.accessioned2021-04-20T12:36:31Z
dc.date.available2021-04-20T12:36:31Z
dc.date.issued2014
dc.identifier.issn1434-6028
dc.identifier.urihttp://rimi.imi.bg.ac.rs/handle/123456789/527
dc.description.abstractIn this paper we have analyzed scaling properties of time series of stock market indices (SMIs) of developing economies of Western Balkans, and have compared the results we have obtained with the results from more developed economies. We have used three different techniques of data analysis to obtain and verify our findings: detrended fluctuation analysis (DFA) method, detrended moving average (DMA) method, and wavelet transformation (WT) analysis. We have found scaling behavior in all SMI data sets that we have analyzed. The scaling of our SMI series changes from long-range correlated to slightly anti-correlated behavior with the change in growth or maturity of the economy the stock market is embedded in. We also report the presence of effects of potential periodic-like influences on the SMI data that we have analyzed. One such influence is visible in all our SMI series, and appears at a period T-p approximate to 90 days. We propose that the existence of various periodic-like influences on SMI data may partially explain the observed difference in types of correlated behavior of corresponding scaling functions.en
dc.publisherSpringer, New York
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/171015/RS//
dc.rightsrestrictedAccess
dc.sourceEuropean Physical Journal B
dc.titleScaling analysis of time series of daily prices from stock markets of transitional economies in the Western Balkansen
dc.typearticle
dc.rights.licenseARR
dc.citation.issue12
dc.citation.other87(12): -
dc.citation.rankM23
dc.citation.volume87
dc.identifier.doi10.1140/epjb/e2014-50655-5
dc.identifier.scopus2-s2.0-84919941263
dc.identifier.wos000346171400001
dc.type.versionpublishedVersion


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