Multifractality and complexity of the Brazilian agribusiness commodities

dc.creatorJale, Jader da Silva
dc.creatorStpŏsíc, Borko
dc.creatorStpŏsíc, Tatijana
dc.creatorJale, Jader da Silva
dc.creatorStpŏsíc, Borko
dc.creatorStpŏsíc, Tatijana
dc.date2016-06-28
dc.date2017-08-01T20:09:51Z
dc.date2017-08-01T20:09:51Z
dc.date2017-08-01
dc.date.accessioned2023-09-28T19:58:27Z
dc.date.available2023-09-28T19:58:27Z
dc.identifierJALE, J. S.; STPŎSÍC, B.; STPŎSÍC, T. Multifractalidade e complexidade sobre commodities do agronegócio brasileiro. Revista Brasileira de Biometria, Lavras, v. 34, n. 2, p. 258-278, jun. 2016.
dc.identifierhttp://repositorio.ufla.br/jspui/handle/1/13956
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9041428
dc.descriptionNeste trabalho investigamos o comportamento de séries temporais sobre preços de fechamento diário de algumas commodities do agronegócio brasileiro. Analisamos os comportamentos da multifractalidade e da complexidade das séries registradas entre 2006 e 2014. Utilizamos os métodos Sample Entropy e Cross-Sample Entropy para investigar a complexidade e propomos o método Sample Entropy em Janela Móvel de Tempo para avaliar a dinâmica da complexidade dessas séries. Investigamos também a multifractalidade com o método Multifractal Detrended Fluctuation Analysis (MF-DFA). Concluímos que ambas as análises podem ser uteis para avaliar a dinâmica do agronegócio brasileiro diante no cenário econômico mundial.
dc.descriptionABSTRACT: In this paper we investigate the time series behavior on daily closing prices of some commodities of Brazilian agribusiness. We analyze the behavior of multifractality and complexity of the series recorded between 2006 and 2014. We use the Sample Entropy and Cross-Sample Entropy methods to analyze the complexity and propose the Sample Entropy method in a moving time window to assess the dynamics of the complexity of these series. We also investigate the multifractality using the Multifractal Detrended Fluctuation Analysis (MF-DFA) method. We conclude that both analyzes can be useful in assessing the dynamics of Brazilian agribusiness on the world economic scenario.
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languagepor
dc.publisherUniversidade Federal de Lavras
dc.relationhttp://www.biometria.ufla.br/index.php/BBJ/article/view/140/43
dc.rightsCopyright (c) 2016 Jader da Silva JALE, Borko STPŎSÍC, Tatijana STŎSÍC
dc.rightsAttribution 4.0 International
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.sourceREVISTA BRASILEIRA DE BIOMETRIA; Vol 34 No 2 (2016); 258-278
dc.source1983-0823
dc.subjectSample entropy
dc.subjectCross-sample entropy
dc.subjectMultifractal detrended fluctuation analysis (MF-DFA)
dc.subjectCorrelação-cruzada
dc.subjectJanela móvel de tempo
dc.subjectCross-correlation
dc.subjectRolling window
dc.titleMultifractalidade e complexidade sobre commodities do agronegócio brasileiro
dc.titleMultifractality and complexity of the Brazilian agribusiness commodities
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article


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