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Long-term memory in financial prices: evidence from the Dutch stock market returns

dc.contributor.authorGomes, Luís
dc.contributor.authorSoares, Vasco J. S.
dc.contributor.authorGama, Sílvio M. A.
dc.contributor.authorMatos, José A. O.
dc.date.accessioned2014-07-18T07:50:30Z
dc.date.available2014-07-18T07:50:30Z
dc.date.issued2014
dc.descriptionPrepared for presentation at the Portuguese Finance Network International Conference 2014, Vilamoura, Portugal, June 18-20por
dc.description.abstractThe purpose of this paper is to contribute to the discussion of long-term memory, focusing on the behavior of the main Dutch stock index.The analysis of the general characteristics of temporal frequency reveals that daily returns are non-ergodic, non-stationary and non-independent. Consequently, we have employed the rescaled-range analysis (R/S) and the detrended fluctuation analysis (DFA), under the fractional Brownian motion approach, and found slight evidence of long-term persistence. This suggests that this market is more prone to predictability ("Joseph effect"), but also trends that may be unexpectedly disrupted by discontinuities ("Noah effect"). Although the evidence of fractal dynamics has weak support, refutes the hypothesis of random walk with i.i.d. increments. This implies that the use of statistical limit arguments to determine conventional financial statistics, as used in the Capital Asset Pricing Model and option valuation models, is scientifically incorrect. Furthermore, a more localized (in time) study to identify the evolution of the degree of long-term memory over time showed a change in the characteristic index from persistent to anti-persistent, more evident after 2010. This suggests that the AEX market does not correspond to Efficient Market Hypotheis in strictly sense of Fama (1970), although it has progressed closer to this theoretical ideal during the worsening of the current international financial crisis.por
dc.identifier.urihttp://hdl.handle.net/10400.22/4840
dc.language.isoengpor
dc.subjectLong-term memorypor
dc.subjectEconophysicspor
dc.subjectDetrended fluctuation analysispor
dc.subjectPersistencepor
dc.subjectHurst exponentpor
dc.subjectRescaled-range analysispor
dc.titleLong-term memory in financial prices: evidence from the Dutch stock market returnspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceVilamourapor
oaire.citation.titlePortuguese Finance Network International Conference 2014por
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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