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Título:
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Permanent components in seasonal variables
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Autores:
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Flores de Frutos, Rafael ;
Novales Cinca, Alfonso
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Tipo de documento:
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texto impreso
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Editorial:
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Facultad de Ciencias Económicas y Empresariales. Instituto Complutense de Análisis Económico (ICAE), 1994
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Dimensiones:
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application/pdf
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Nota general:
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cc_by_nc_sa
info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Matemáticas: Procesos estocásticos
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Tipo = Documento de trabajo o Informe técnico
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Resumen:
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We propose considering a seasonal time series as the realization of a s-variate stochastic process, s being the seasonal periodo In this paper we propose a test statistic for the hypothesis of a univariate versus a multivariate representation of seasonality. We find evidence against the more standard univariate representation for some key variables of the U.S. economy. When a VAR representation is chosen for each of these variables and its residuals are properly orthogonalized, forecasting perfomance is improved, relative to univariate ARIMA models. Also, a Permanent-Transitory decomposition of each variable reveals that permanent components exhibit important seasonal fluctuations. This supports the view that seasonality should be considered as an integral part of agents' decision-making.
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En línea:
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https://eprints.ucm.es/id/eprint/27882/1/9406.pdf
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