Assessing the impact of the realized range on the (E)GARCH volatility: Evidence from Brazil

Detalhes bibliográficos
Autor(a) principal: Accioly, Victor Bello
Data de Publicação: 2016
Outros Autores: Mendes, Beatriz Vaz de Melo
Tipo de documento: Artigo
Idioma: eng
por
Título da fonte: BBR. Brazilian Business Review (English edition. Online)
Texto Completo: http://www.bbronline.com.br/index.php/bbr/article/view/144
Resumo: This paper investigates whether the inclusion of the realized range as regressor in the (E)GARCH volatility equation would add information to the process improving out-of-sample forecasts performance and providing more accurate estimates of the volatility persistence. Sixteen range measures at eleven data frequencies are tested using Brazilian stock market data. Several measures for assessing the im- provements in the fits were used including the likelihood ratio test, the persistence percentage decrease, and a formal statistical test for comparing forecasts errors from competing models. We found that for both the GARCH and EGARCH models there are always some realized range type at some frequencies bringing information to the volatility process with considerable persistence reduction.
id FBS-1_c7d0a7f19f83161bdef117f90b2121d1
oai_identifier_str oai:ojs.pkp.sfu.ca:article/144
network_acronym_str FBS-1
network_name_str BBR. Brazilian Business Review (English edition. Online)
repository_id_str
spelling Assessing the impact of the realized range on the (E)GARCH volatility: Evidence from BrazilAvaliação do Impacto do Realized Range sobre a Volatilidade (E)GARCH: Evidência do BrasilGARCH and EGARCH modelsRealized volatilityRealized rangeVolatility forecastModelos GARCH e EGARCHVolatilidade realizadaRealized rangePrevisão de volatilidadeThis paper investigates whether the inclusion of the realized range as regressor in the (E)GARCH volatility equation would add information to the process improving out-of-sample forecasts performance and providing more accurate estimates of the volatility persistence. Sixteen range measures at eleven data frequencies are tested using Brazilian stock market data. Several measures for assessing the im- provements in the fits were used including the likelihood ratio test, the persistence percentage decrease, and a formal statistical test for comparing forecasts errors from competing models. We found that for both the GARCH and EGARCH models there are always some realized range type at some frequencies bringing information to the volatility process with considerable persistence reduction.O presente artigo investiga se a inclusão de realized range como regressor na equação da volatidade (E)GARCH adiciona informação ao processo, melhorando a performance das previsões e fornecendo estimativas mais precisar sobre a persistência da volatidade. Dezesseis definições do realized range, em onze frequências amostrais, são testadas utilizando-se dados do mercado brasileiro. Diversos critérios foram utilizados para avaliar se ocorreram melhorias nos ajustes, incluindo-se o teste da razão das verossimilhanssas, a redução da persistência e um teste estatístico para comparar erros de previsão de modelos concorrentes. Descrobriu-se que sempre há, para ambos os modelos GARCH e EGARCH, algum tipo de realized range que, em diversas frequências, explica melhor o processo da volatidade acarretando uma redução considerável da persistência.FUCAPE Business Shool2016-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed ArticleArtigo revisado pelos paresapplication/pdfapplication/pdfhttp://www.bbronline.com.br/index.php/bbr/article/view/14410.15728/bbr.2016.13.2.1Brazilian Business Review; Vol. 13 No. 2 (2016): March to April 2016; 1-26Brazilian Business Review; v. 13 n. 2 (2016): Março a Abril 2016; 1-261808-23861807-734Xreponame:BBR. Brazilian Business Review (English edition. Online)instname:Fucape Business School (FBS)instacron:FBSengporhttp://www.bbronline.com.br/index.php/bbr/article/view/144/221http://www.bbronline.com.br/index.php/bbr/article/view/144/222Accioly, Victor BelloMendes, Beatriz Vaz de Meloinfo:eu-repo/semantics/openAccess2018-10-31T19:05:53Zoai:ojs.pkp.sfu.ca:article/144Revistahttps://www.bbronline.com.br/index.php/bbr/indexONGhttp://www.bbronline.com.br/index.php/bbr/oai|| bbronline@bbronline.com.br1808-23861808-2386opendoar:2018-10-31T19:05:53BBR. Brazilian Business Review (English edition. Online) - Fucape Business School (FBS)false
dc.title.none.fl_str_mv Assessing the impact of the realized range on the (E)GARCH volatility: Evidence from Brazil
Avaliação do Impacto do Realized Range sobre a Volatilidade (E)GARCH: Evidência do Brasil
title Assessing the impact of the realized range on the (E)GARCH volatility: Evidence from Brazil
spellingShingle Assessing the impact of the realized range on the (E)GARCH volatility: Evidence from Brazil
Accioly, Victor Bello
GARCH and EGARCH models
Realized volatility
Realized range
Volatility forecast
Modelos GARCH e EGARCH
Volatilidade realizada
Realized range
Previsão de volatilidade
title_short Assessing the impact of the realized range on the (E)GARCH volatility: Evidence from Brazil
title_full Assessing the impact of the realized range on the (E)GARCH volatility: Evidence from Brazil
title_fullStr Assessing the impact of the realized range on the (E)GARCH volatility: Evidence from Brazil
title_full_unstemmed Assessing the impact of the realized range on the (E)GARCH volatility: Evidence from Brazil
title_sort Assessing the impact of the realized range on the (E)GARCH volatility: Evidence from Brazil
author Accioly, Victor Bello
author_facet Accioly, Victor Bello
Mendes, Beatriz Vaz de Melo
author_role author
author2 Mendes, Beatriz Vaz de Melo
author2_role author
dc.contributor.author.fl_str_mv Accioly, Victor Bello
Mendes, Beatriz Vaz de Melo
dc.subject.por.fl_str_mv GARCH and EGARCH models
Realized volatility
Realized range
Volatility forecast
Modelos GARCH e EGARCH
Volatilidade realizada
Realized range
Previsão de volatilidade
topic GARCH and EGARCH models
Realized volatility
Realized range
Volatility forecast
Modelos GARCH e EGARCH
Volatilidade realizada
Realized range
Previsão de volatilidade
description This paper investigates whether the inclusion of the realized range as regressor in the (E)GARCH volatility equation would add information to the process improving out-of-sample forecasts performance and providing more accurate estimates of the volatility persistence. Sixteen range measures at eleven data frequencies are tested using Brazilian stock market data. Several measures for assessing the im- provements in the fits were used including the likelihood ratio test, the persistence percentage decrease, and a formal statistical test for comparing forecasts errors from competing models. We found that for both the GARCH and EGARCH models there are always some realized range type at some frequencies bringing information to the volatility process with considerable persistence reduction.
publishDate 2016
dc.date.none.fl_str_mv 2016-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Artigo revisado pelos pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.bbronline.com.br/index.php/bbr/article/view/144
10.15728/bbr.2016.13.2.1
url http://www.bbronline.com.br/index.php/bbr/article/view/144
identifier_str_mv 10.15728/bbr.2016.13.2.1
dc.language.iso.fl_str_mv eng
por
language eng
por
dc.relation.none.fl_str_mv http://www.bbronline.com.br/index.php/bbr/article/view/144/221
http://www.bbronline.com.br/index.php/bbr/article/view/144/222
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv FUCAPE Business Shool
publisher.none.fl_str_mv FUCAPE Business Shool
dc.source.none.fl_str_mv Brazilian Business Review; Vol. 13 No. 2 (2016): March to April 2016; 1-26
Brazilian Business Review; v. 13 n. 2 (2016): Março a Abril 2016; 1-26
1808-2386
1807-734X
reponame:BBR. Brazilian Business Review (English edition. Online)
instname:Fucape Business School (FBS)
instacron:FBS
instname_str Fucape Business School (FBS)
instacron_str FBS
institution FBS
reponame_str BBR. Brazilian Business Review (English edition. Online)
collection BBR. Brazilian Business Review (English edition. Online)
repository.name.fl_str_mv BBR. Brazilian Business Review (English edition. Online) - Fucape Business School (FBS)
repository.mail.fl_str_mv || bbronline@bbronline.com.br
_version_ 1754732237395329024