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inflation’s total variation in Mexico. In this context, we study the performance of seasonal time series models to forecast … short-run inflation. Using multi-horizon evaluation techniques, we examine the real-time forecasting performance of four … each index, we apply and compare two methods that aggregate hierarchical time series, the bottom-up method and an optimal …
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We explore a periodic analysis in the context of unobserved components time series models that decompose time series … into components of interest such as trend and seasonal. Periodic time series models allow dynamic characteristics to depend … on the period of the year, month, week or day. In the standard multivariate approach one can interpret periodic time …
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In this paper, we compare the forecasting performance of seasonal and non linear autoregressive models in terms of point, interval, and density forecasts for the growth rates of the Tunisian industrial production, for the period 1976:1- 2006:2. Our results suggest that the point forecasts...
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