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Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/jspui/handle/10553/49183
DC FieldValueLanguage
dc.contributor.authorGonzález-Martel, Christian
dc.contributor.authorFernández-Rodríguez, Fernando
dc.contributor.authorSosvilla-Rivero, Simon
dc.date.accessioned2018-11-24T04:57:47Z-
dc.date.available2018-11-24T04:57:47Z-
dc.date.issued2012
dc.identifier.isbn9781611228649
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/49183-
dc.relation.ispartofProgress in Financial Markets Research
dc.sourceProgress in Financial Markets Research, p. 137-166
dc.titleTechnical rules based on nearest-neighbour predictions optimised by genetic algorithms: Evidence from the Madrid stock market
dc.typeinfo:eu-repo/semantics/bookPartes
dc.typeBookes
dc.identifier.scopus84896430487
dc.contributor.authorscopusid16230450700
dc.contributor.authorscopusid6603053452
dc.contributor.authorscopusid6701863324
dc.description.lastpage166
dc.description.firstpage137
dc.type2Capítulo de libroes
dc.date.coverdateDiciembre 2012
dc.identifier.ulpgcSíes
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR Finanzas Cuantitativas y Computacionales-
crisitem.author.orcid0000-0002-8808-9286-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.fullNameFernández Rodríguez,Fernando Emilio-
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