models' out-of-sample forecasting performance for the period 2012 q3 to 2016 q2 by using a number of forecast evaluation … Statistics. Additionally, we constructed several composite forecasts in order to test whether a combination forecast is superior … increases. Second, the disaggregated ARIMA model has the smallest forecasting errors. Third, majority of the forecast evaluation …

The purpose of the paper is to introduce the framework for decomposing the forecast of headline inflation, obtained by … inflation forecast, with relatively good fit of equations for food and domestic oil prices. This model serves as satellite model …

. Additionally, an analysis of intra-period forecasts, reveals a slight trend towards increased forecast accuracy as the daily …

desired policy goals. This paper develops a group of models to forecast inflation for Argentina, which includes autoregressive … can improve the forecast ability of the univariate autoregressive benchmark’s model of inflation. The Giacomini-White test … indicates that a BVAR performs better than the benchmark in all forecast horizons. Statistical differences between the two BVAR …

accuracy is assessed through in-sample forecast evaluation across various data sub-samples. This paper also discusses how these …