Titre:	Reaction trend system with GARCH quantiles as action points
Auteur(s):	Fiorucci, Jose Augusto Silva, Geraldo Nunes Barboza, Flavio Luiz de Moraes
metadata.dc.contributor.email:	mailto:jafiorucci@unb.br mailto:geraldo.silva@unesp.br mailto:flmbarboza@ufu.br
metadata.dc.identifier.orcid:	https://orcid.org/0000-0002-1201-9089 https://orcid.org/0000-0002-3574-9893 https://orcid.org/0000-0002-3449-5297
Assunto::	Modelo estatístico Volatilidade Intervalo de preços Modelos ARCH
Date de publication:	5-mar-2022
Editeur:	Elsevier
Référence bibliographique:	FIORUCCI, Jose Augusto; SILVA, Geraldo Nunes; BARBOZA, Flavio. Reaction trend system with GARCH quantiles as action points. Expert Systems with Applications, v. 198, art. 116750, jul. 2022. DOI 10.1016/j.eswa.2022.116750. Disponível em: https://www.sciencedirect.com/science/article/pii/S0957417422002172?via%3Dihub. Acesso em: 07 nov. 2022.
Abstract:	Most trading systems developed from technical indicators are designed to operate in either trending or non-trending markets but they are rarely useful for both markets. A reaction trend system allows operations in both markets. In this study, we improve the calculus of four action points using a statistical volatility model and then replace the action points with those derived from GARCH quantiles. Although the proposed system is more advanced, it maintains the same operational logic as the method proposed by Wilder. Empirical tests on various assets suggest that the novel method performs better. Finally, we compare the performance of our proposed system with previous studies that analysed assets in different markets and regions. Our system has been proven consistently competitive in all situations.
DOI:	https://doi.org/10.1016/j.eswa.2022.116750
metadata.dc.relation.publisherversion:	https://www.sciencedirect.com/science/article/pii/S0957417422002172?via%3Dihub
Collection(s) :	Artigos publicados em periódicos e afins

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