Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/43139
Title: Bayesian analysis of FIAPARCH model: an application to Sao Paulo Stock Market
Keywords: Asymmetry
Long memory
Volatility
Issue Date: 2010
Publisher: Centre for Environment & Socio-Economic Research Publications
Citation: SÁFADI, T.; PEREIRA, I. Bayesian analysis of FIAPARCH model: an application to Sao Paulo Stock Market. International Journal of Statistics and Economics, [S.l.], v. 5, p. 49-63, 2010. Especial Issue.
Abstract: In this paper, we develop a Bayesian analysis of a FIAPARCH(p,d,q) model for parameter estimation and conditional variance prediction. In order to study the inference problem we use the Metropolis-Hastings algorithm.This methodology is illustrated in a simulation study and it is applied to a set of observations concerning the returns of IBOVESPA values.
URI: http://www.ceser.in/ceserp/index.php/bse/article/view/2068
http://repositorio.ufla.br/jspui/handle/1/43139
Appears in Collections:DEX - Artigos publicados em periódicos

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