Extreme times in financial markets.

dc.contributor.authorMasoliver, Jaume, 1951-cat
dc.contributor.authorMontero Torralbo, Miquelcat
dc.contributor.authorPerelló, Josep, 1974-cat
dc.date.accessioned2011-07-07T12:53:51Z
dc.date.available2011-07-07T12:53:51Z
dc.date.issued2005
dc.description.abstractWe apply the theory of continuous time random walks (CTRWs) to study some aspects involving extreme events in financial time series. We focus our attention on the mean exit time (MET). We derive a general equation for this average and compare it with empirical results coming from high-frequency data of the U.S. dollar and Deutsche mark futures market. The empirical MET follows a quadratic law in the return length interval which is consistent with the CTRW formalism.eng
dc.format.extent6 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec517167
dc.identifier.issn1063-651X
dc.identifier.urihttps://hdl.handle.net/2445/18843
dc.language.isoengeng
dc.publisherThe American Physical Societyeng
dc.relation.isformatofReproducció del document publicat a: http://dx.doi.org/10.1103/PhysRevE.71.056130cat
dc.relation.ispartofPhysical Review E, 2005, vol. 71, núm. 5, p. 056130-1-056130-6
dc.relation.urihttp://dx.doi.org/10.1103/PhysRevE.71.056130
dc.rights(c) American Physical Society, 2005
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.sourceArticles publicats en revistes (Física de la Matèria Condensada)
dc.subject.classificationFísica matemàticacat
dc.subject.classificationFísica estadísticacat
dc.subject.classificationSistemes no linealscat
dc.subject.otherMathematical physicseng
dc.subject.otherStatistical physicseng
dc.subject.otherNonlinear systemseng
dc.titleExtreme times in financial markets.eng
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

Fitxers

Paquet original

Mostrant 1 - 1 de 1
Carregant...
Miniatura
Nom:
517167.pdf
Mida:
118.56 KB
Format:
Adobe Portable Document Format