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dc.contributor.authorMatsushita, Raul Yukihiro-
dc.contributor.authorBrom, Pedro Carvalho-
dc.contributor.authorNagata, Mateus Hiro-
dc.contributor.authorSilva, Sérgio da-
dc.date.accessioned2024-02-18T02:31:04Z-
dc.date.available2024-02-18T02:31:04Z-
dc.date.issued2024-
dc.identifier.citationMATSUSHITA, Raul Yukihiro et al. Retrodicting with the truncated Lévy flight. Communications in Nonlinear Science and Numerical Simulation, [S.l.], v. 116. Jan. 2023. DOI: https://doi.org/10.1016/j.cnsns.2022.106900. Disponível em: https://www.sciencedirect.com/science/article/pii/S1007570422003872. Acesso em: 13 ago. 2023.pt_BR
dc.identifier.urihttp://repositorio2.unb.br/jspui/handle/10482/47775-
dc.description.abstractThere is a point in predicting the past (retrodicting) because we lack information about it. To address this issue, we consider a truncated Lévy flight to model data. We build on the finding that there is a power law between truncation length and standard deviation that connects the bounded past and unbounded future. Even if a truncated Lévy flight cannot predict future extreme events, we argue that it can still be used to model the past. Because we avoid the exact form of the probability density function while allowing its distributional moments, with the exception of the mean, to vary over time, our method is applicable to a wide range of symmetric distributions. We illustrate our point by using US dollar prices in 15 different currencies traded on foreign exchange markets.pt_BR
dc.language.isoengpt_BR
dc.publisherElsevierpt_BR
dc.rightsAcesso Restritopt_BR
dc.titleRetrodicting with the truncated Lévy flightpt_BR
dc.typeArtigopt_BR
dc.subject.keywordVoos de Lévypt_BR
dc.subject.keywordDados financeirospt_BR
dc.subject.keywordTaxa de câmbiopt_BR
dc.identifier.doihttps://doi.org/10.1016/j.cnsns.2022.106900pt_BR
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1007570422003872?via%3Dihubpt_BR
dc.contributor.affiliationUniversity of Brasilia, Department of Statistics, Graduate Program in Statisticspt_BR
dc.contributor.affiliationUniversity of Brasilia, Graduate Program in Business Administrationpt_BR
dc.contributor.affiliationUniversity of Brasilia, Department of Statistics, Graduate Program in Statisticspt_BR
dc.contributor.affiliationITAM, Department of Economicpt_BR
dc.contributor.affiliationFderal University of Santa Catarina, Departament of Economicpt_BR
dc.contributor.affiliationFederal University of Espirito Santo, Graduate Program in Economicspt_BR
dc.description.unidadeInstituto de Ciências Exatas (IE)pt_BR
dc.description.unidadeDepartamento de Estatística (IE EST)pt_BR
dc.description.unidadeFaculdade de Economia, Administração, Contabilidade e Gestão de Políticas Públicas (FACE)pt_BR
dc.description.ppgPrograma de Pós-Graduação em Estatísticapt_BR
dc.description.ppgPrograma de Pós-Graduação em Administraçãopt_BR
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