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dc.contributor.authorGuterres, Débora Cervieri-
dc.contributor.authorSantos, Maria do Desterro Mendes dos-
dc.contributor.authorFurlanetto, Cléber-
dc.contributor.authorPinho, Danilo B.-
dc.contributor.authorBarreto, Robert W.-
dc.contributor.authorDianese, José Carmine-
dc.date.accessioned2023-11-21T14:50:43Z-
dc.date.available2023-11-21T14:50:43Z-
dc.date.issued2022-
dc.identifier.citationGUTERRES, Débora C. et al. Filling a gap in the taxonomy of phyllachoroid fungi: proposition of Neopolystigma, gen. nov., and the new family Neopolystigmataceae. Mycologia, [S. l.], v. 114, n. 5, 900-913, 2022. DOI: https://doi.org/10.1080/00275514.2022.2092365.pt_BR
dc.identifier.urihttp://repositorio2.unb.br/jspui/handle/10482/46883-
dc.language.isoengpt_BR
dc.publisherTaylor & Francispt_BR
dc.rightsAcesso Restritopt_BR
dc.titleFilling a gap in the taxonomy of phyllachoroid fungi : proposition of Neopolystigma, gen. nov., and the new family Neopolystigmataceaept_BR
dc.typeArtigopt_BR
dc.subject.keywordFungos - cerradospt_BR
dc.subject.keywordTaxonomiapt_BR
dc.identifier.doihttps://doi.org/10.1080/00275514.2022.2092365pt_BR
dc.relation.publisherversionhttps://www.tandfonline.com/doi/full/10.1080/00275514.2022.2092365pt_BR
dc.description.abstract1Researchers and practitioners globally, from a range of perspectives, acknowledge the difficulty in determining the value of a financial asset. This subject is of utmost importance due to the numerous participants involved and its impact on enhancing market structure, function, and efficiency. This paper conducts a comprehensive review of the academic literature to provide insights into the reasoning behind certain conventions adopted in financial value estimation, including the implementation of preprocessing techniques, the selection of relevant inputs, and the assessment of the performance of computational models in predicting asset prices over time. Our analysis, based on 109 studies sourced from 10 databases, reveals that daily forecasts have achieved average error rates of less than 1.5%, while monthly data only attain this level in optimal circumstances. We also discuss the utilization of tools and the integration of hybrid models. Finally, we highlight compelling gaps in the literature that provide avenues for further research.pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-3902-8487pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-5435-6182pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-0575-0487pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-2624-302Xpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-8920-4760pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-9100-0545pt_BR
dc.contributor.affiliationUniversidade Federal de Viçosa, Departamento de Fitopatologiapt_BR
dc.contributor.affiliationUniversidade de Brasília, Departamento de Ecologiapt_BR
dc.contributor.affiliationUniversidade de Brasília, Departamento de Fitopatologiapt_BR
dc.contributor.affiliationUniversidade de Brasília, Departamento de Fitopatologiapt_BR
dc.contributor.affiliationUniversidade Federal de Viçosa, Departamento de Fitopatologiapt_BR
dc.contributor.affiliationUniversidade de Brasília, Departamento de Fitopatologiapt_BR
dc.description.unidadeInstituto de Ciências Biológicas (IB)pt_BR
dc.description.unidadeDepartamento de Ecologia (IB ECL)pt_BR
dc.description.unidadeDepartamento de Fitopatologia (IB FIT)pt_BR
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