Assessing the impact of the realized range on the (E)GARCH volatility: Evidence from Brazil
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | |
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. |
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BBR. Brazilian Business Review (English edition. Online) |
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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 |