Um Procedimento Para Análise De Persistência Na Volatilidade
Marcelo Fernandes and
Marcos de Bustamante Monteiro
Brazilian Review of Econometrics, 1997, vol. 17, issue 1
Abstract:
Diebold (1986) suggested that conditional heteroskedastic models tend to overestimate persistence of volatility when there are instabilities at the unconditional second momento We propose a procedure for analysing this phenomenon based on recent techniques developed by the sudden changes of variance literature. Applying the ICSS algorithm (Inclán & Tiao, 1994) to the standardised residuals of the conditional heteroskedastic model, it is possible to detect break points at the unconditional variance. By incorporating dummies to capture these instabilities, a more accurate and reliable estimate of the volatility persistence can be computed. The procedure is successfully applied to Brazilian financial data.
Date: 1997
References: Add references at CitEc
Citations:
Downloads: (external link)
https://periodicos.fgv.br/bre/article/view/2869 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sbe:breart:v:17:y:1997:i:1:a:2869
Access Statistics for this article
Brazilian Review of Econometrics is currently edited by Daniel Monte
More articles in Brazilian Review of Econometrics from Sociedade Brasileira de Econometria - SBE Contact information at EDIRC.
Bibliographic data for series maintained by Núcleo de Computação da FGV EPGE ().