Robustness of stationary tests under long-memory alternatives

Detalhes bibliográficos
Autor(a) principal: Lima, Luiz Renato Regis de Oliveira
Data de Publicação: 2004
Outros Autores: Xiao, Zhijie
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: http://hdl.handle.net/10438/998
Resumo: This paper investigates the presence of long memory in financiaI time series using four test statistics: V/S, KPSS, KS and modified R/S. There has been a large amount of study on the long memory behavior in economic and financiaI time series. However, there is still no consensus. We argue in this paper that spurious short-term memory may be found due to the incorrect use of data-dependent bandwidth to estimating the longrun variance. We propose a partially adaptive lag truncation procedure that is robust against the presence of long memory under the alternative hypothesis and revisit several economic and financiaI time series using the proposed bandwidth choice. Our results indicate the existence of spurious short memory in real exchange rates when Andrews' formula is employed, but long memory is detected when the proposed lag truncation procedure is used. Using stock market data, we also found short memory in returns and long memory in volatility.
id FGV_c71b15459be72a0c803b39bcf031c1e4
oai_identifier_str oai:repositorio.fgv.br:10438/998
network_acronym_str FGV
network_name_str Repositório Institucional do FGV (FGV Repositório Digital)
repository_id_str 3974
spelling Lima, Luiz Renato Regis de OliveiraXiao, ZhijieEscolas::EPGEFGV2008-05-13T15:46:03Z2008-05-13T15:46:03Z2004-04-010104-8910http://hdl.handle.net/10438/998This paper investigates the presence of long memory in financiaI time series using four test statistics: V/S, KPSS, KS and modified R/S. There has been a large amount of study on the long memory behavior in economic and financiaI time series. However, there is still no consensus. We argue in this paper that spurious short-term memory may be found due to the incorrect use of data-dependent bandwidth to estimating the longrun variance. We propose a partially adaptive lag truncation procedure that is robust against the presence of long memory under the alternative hypothesis and revisit several economic and financiaI time series using the proposed bandwidth choice. Our results indicate the existence of spurious short memory in real exchange rates when Andrews' formula is employed, but long memory is detected when the proposed lag truncation procedure is used. Using stock market data, we also found short memory in returns and long memory in volatility.engFundação Getulio Vargas. Escola de Pós-graduação em EconomiaEnsaios Econômicos;541Robustness of stationary tests under long-memory alternativesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleEconomiaAnálise de séries temporaisEconometriareponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVinfo:eu-repo/semantics/openAccessTEXT1618.pdf.txt1618.pdf.txtExtracted Texttext/plain21903https://repositorio.fgv.br/bitstreams/ecbdd6f5-0c5e-41d6-9ca1-9a90b748bbe1/download61b12b21bdea3cf83c4204628abf64bbMD521618(2).pdf.txt1618(2).pdf.txtExtracted texttext/plain53095https://repositorio.fgv.br/bitstreams/ec528fcf-19fe-4aee-86cd-107546d04496/downloadaed80b37ca52e694d647e984ebae202aMD58ORIGINAL1618(2).pdf1618(2).pdfapplication/pdf7133054https://repositorio.fgv.br/bitstreams/ca3043c9-91bd-4145-93b7-96b8ede2782b/download8753f915a0fb7f569a14fc182a40d7feMD53THUMBNAIL1618(2).pdf.jpg1618(2).pdf.jpgGenerated Thumbnailimage/jpeg3372https://repositorio.fgv.br/bitstreams/bcb16001-5928-4b61-81fc-7851bfe7f37e/downloadbfbf9bf3ff6a7d46b8666b572a62d56bMD5910438/9982023-11-09 22:52:24.731open.accessoai:repositorio.fgv.br:10438/998https://repositorio.fgv.brRepositório InstitucionalPRIhttp://bibliotecadigital.fgv.br/dspace-oai/requestopendoar:39742023-11-09T22:52:24Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas (FGV)false
dc.title.eng.fl_str_mv Robustness of stationary tests under long-memory alternatives
title Robustness of stationary tests under long-memory alternatives
spellingShingle Robustness of stationary tests under long-memory alternatives
Lima, Luiz Renato Regis de Oliveira
Economia
Análise de séries temporais
Econometria
title_short Robustness of stationary tests under long-memory alternatives
title_full Robustness of stationary tests under long-memory alternatives
title_fullStr Robustness of stationary tests under long-memory alternatives
title_full_unstemmed Robustness of stationary tests under long-memory alternatives
title_sort Robustness of stationary tests under long-memory alternatives
author Lima, Luiz Renato Regis de Oliveira
author_facet Lima, Luiz Renato Regis de Oliveira
Xiao, Zhijie
author_role author
author2 Xiao, Zhijie
author2_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EPGE
dc.contributor.affiliation.none.fl_str_mv FGV
dc.contributor.author.fl_str_mv Lima, Luiz Renato Regis de Oliveira
Xiao, Zhijie
dc.subject.area.por.fl_str_mv Economia
topic Economia
Análise de séries temporais
Econometria
dc.subject.bibliodata.por.fl_str_mv Análise de séries temporais
Econometria
description This paper investigates the presence of long memory in financiaI time series using four test statistics: V/S, KPSS, KS and modified R/S. There has been a large amount of study on the long memory behavior in economic and financiaI time series. However, there is still no consensus. We argue in this paper that spurious short-term memory may be found due to the incorrect use of data-dependent bandwidth to estimating the longrun variance. We propose a partially adaptive lag truncation procedure that is robust against the presence of long memory under the alternative hypothesis and revisit several economic and financiaI time series using the proposed bandwidth choice. Our results indicate the existence of spurious short memory in real exchange rates when Andrews' formula is employed, but long memory is detected when the proposed lag truncation procedure is used. Using stock market data, we also found short memory in returns and long memory in volatility.
publishDate 2004
dc.date.issued.fl_str_mv 2004-04-01
dc.date.accessioned.fl_str_mv 2008-05-13T15:46:03Z
dc.date.available.fl_str_mv 2008-05-13T15:46:03Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10438/998
dc.identifier.issn.none.fl_str_mv 0104-8910
identifier_str_mv 0104-8910
url http://hdl.handle.net/10438/998
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartofseries.por.fl_str_mv Ensaios Econômicos;541
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Fundação Getulio Vargas. Escola de Pós-graduação em Economia
publisher.none.fl_str_mv Fundação Getulio Vargas. Escola de Pós-graduação em Economia
dc.source.none.fl_str_mv reponame:Repositório Institucional do FGV (FGV Repositório Digital)
instname:Fundação Getulio Vargas (FGV)
instacron:FGV
instname_str Fundação Getulio Vargas (FGV)
instacron_str FGV
institution FGV
reponame_str Repositório Institucional do FGV (FGV Repositório Digital)
collection Repositório Institucional do FGV (FGV Repositório Digital)
bitstream.url.fl_str_mv https://repositorio.fgv.br/bitstreams/ecbdd6f5-0c5e-41d6-9ca1-9a90b748bbe1/download
https://repositorio.fgv.br/bitstreams/ec528fcf-19fe-4aee-86cd-107546d04496/download
https://repositorio.fgv.br/bitstreams/ca3043c9-91bd-4145-93b7-96b8ede2782b/download
https://repositorio.fgv.br/bitstreams/bcb16001-5928-4b61-81fc-7851bfe7f37e/download
bitstream.checksum.fl_str_mv 61b12b21bdea3cf83c4204628abf64bb
aed80b37ca52e694d647e984ebae202a
8753f915a0fb7f569a14fc182a40d7fe
bfbf9bf3ff6a7d46b8666b572a62d56b
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas (FGV)
repository.mail.fl_str_mv
_version_ 1810023997773971456