Publicação

Forecasting Daily Exchange Rates: A Comparison Between SSA and MSSA

Detalhes bibliográficos
Resumo:	In this paper, daily exchange rates in four of the BRICS emerging economies: Brazil, India, China and South Africa, over the period 2001 to 2015 are considered. In order to predict the future of exchange rate in these countries, it is possible to use both univariate and multivariate time series techniques. Among different time series analysis methods, we choose singular spectrum analysis (SSA), as it is a relatively powerful non-parametric technique and requires the fewest assumptions to be hold in practice. Both multivariate and univariate versions of SSA are considered to predict the daily currency exchange rates. The results show the superiority of MSSA, when compared with univariate SSA, in terms of mean squared error.
Autores principais:	Mahmoudvand , Rahim
Outros Autores:	Canas Rodrigues , Paulo; Yarmohammadi, Masoud
Assunto:	multivariate singular spectrum analysis univariate singular spectrum analysis forecasting exchange rates
Ano:	2019
País:	Portugal
Tipo de documento:	artigo
Tipo de acesso:	unknown
Instituição associada:	Instituto Nacional de Estatística
Idioma:	inglês
Origem:	REVSTAT-Statistical Journal

Descrição
Resumo:	In this paper, daily exchange rates in four of the BRICS emerging economies: Brazil, India, China and South Africa, over the period 2001 to 2015 are considered. In order to predict the future of exchange rate in these countries, it is possible to use both univariate and multivariate time series techniques. Among different time series analysis methods, we choose singular spectrum analysis (SSA), as it is a relatively powerful non-parametric technique and requires the fewest assumptions to be hold in practice. Both multivariate and univariate versions of SSA are considered to predict the daily currency exchange rates. The results show the superiority of MSSA, when compared with univariate SSA, in terms of mean squared error.

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