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Long-term dependence in financial prices: evidence from the Belgian stock market returns

dc.contributor.authorGomes, Luís
dc.date.accessioned2014-06-05T14:29:05Z
dc.date.available2014-06-05T14:29:05Z
dc.date.issued2014
dc.description.abstractThis article aims to contribute to the discussion of long-term dependence, focusing on the behavior of the main Belgian stock index. Non-parametric analyzes of the general characteristics of temporal frequency show that daily returns are non-ergodic and non-stationary. Therefore, we use the rescaled-range analysis (R/S) and the detrended fluctuation analysis (DFA), under the fractional Brownian motion approach, and we found slight evidence of long-term dependence. These results refute the random walk hypothesis with i.i.d. increments, which is the basis of the EMH in its weak form, and call into question some theoretical modeling of asset pricing. Other more localized complementary study, to identify the evolution of the degree of dependence over time windows, showed that the index has become less persistent from 2010. This may mean a maturing market by the extension of the effects of current financial crisis.por
dc.identifier.doi10400.22/4504
dc.identifier.urihttp://hdl.handle.net/10400.22/4504
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherQueen Universitypor
dc.subjectRescaled-range analysispor
dc.subjectEconophysicspor
dc.subjectLong-term dependencepor
dc.subjectHurst exponentpor
dc.subjectDetrended fluctuation analysispor
dc.titleLong-term dependence in financial prices: evidence from the Belgian stock market returnspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceBelfastpor
oaire.citation.titleIAFApor
person.familyNameM. P. Gomes
person.givenNameLuís
person.identifier.ciencia-id3D1C-EBEA-6CE6
person.identifier.orcid0000-0001-9792-1049
person.identifier.ridHNP-5419-2023
person.identifier.scopus-author-id57204729388
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublication770ceb21-6446-4672-83fa-29cddfdf4334
relation.isAuthorOfPublication.latestForDiscovery770ceb21-6446-4672-83fa-29cddfdf4334

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