across countries by using a two-step approach that selects the most accurate linear or non-linear forecasting method for each … outperform ARIMA linear models for longer forecasting horizons. This holds true for countries with both soft and brisk changes of … expectations. However, when forecasting one step ahead, the performance between the two methods is similar. …

product, which in turn are used as an input in the forecasting process. Such forecasts reflect and incorporate the flow of … in a synchronous way. The forecasting power of the dynamic factor model is compared with those of several other models …

Republic of Macedonia (NBRM) for short-term forecasting of inflation - Autoregressive integrated moving average models … models' out-of-sample forecasting performance for the period 2012 q3 to 2016 q2 by using a number of forecast evaluation … to individual models' forecasts. Our results point to three important conclusions. First, the forecasting accuracy of the …

results of the model's forecasting performance suggest that this model can be a useful analytical tool in the process of … to MAKPAM and enriches the set of tools for forecasting and monetary policy analysis in NBRM. In this paper we highlight …

This paper presents a forecasting exercise that assesses the predictive potential of a daily price index based on …

that, in this case, adding stochastic volatility can further improve the forecasting performance of a single-factor BVAR …