Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/43168
Title: The dynamic factor model: an application to stock market indexes
Keywords: Stock market index
Data augmentation
Factor model
Bayesian analysis
Gibbs sampler
Issue Date: 2011
Publisher: Centre for Environment & Socio-Economic Research Publications
Citation: SÁFADI, T.; ALENCAR, A. P.; MORETTIN, P. A. The dynamic factor model: an application to stock market indexes. International Journal of Statistics and Economics, [S.l.], v. 7, n. A11, 2011.
Abstract: The fallout from the collapse of the US mortgage market and the reversal of the housing boom in several important countries has turned out to be more profound and persistent than expected in 2007 and beginning of 2008. To examine the association among the main world stock markets from 2008 onwards, we consider the dynamic factor model in a Bayesian framework. The series considered were daily data for S and P500 ( US), Shanghai Comp Index (China), FTSE100 (UK), CAC40 (France), DAX ( Germany), S and P/TSX (Canada), Bovespa (Brazil), Merval (Argentina), Nikkei 225 (Japan) during the period from January 4th, 2008 to May 10th, 2010. We observe that there is a main factor explaining the financial crisis which was felt in all stock market indexes. The second factor is composed only by China and Japan, the Asian countries, and the third factor is associated with European countries, namely Britain, France and Germany.
URI: http://www.ceser.in/ceserp/index.php/bse/article/view/2114
http://repositorio.ufla.br/jspui/handle/1/43168
Appears in Collections:DEX - Artigos publicados em periódicos

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.