policy is not implemented in the same way and the NNAR models are better for inflation forecasting. …

important include macroeconomic and financial time series. In this paper we are testing forecasting capacity of the time series … forecasting the number of tourist guests for the next year. …

The main goal of the article is to investigate forecasting quality of two approaches to modelling main macroeconomic … accuracy not inferior to that of structural models. Additional advantage of their approach is that the forecasting procedure … can be mostly automated and the influence of subjective decisions made in the forecasting process can be significantly …

-run predictions of a wide class of theoretical models yields substantial improvements in the forecasting performance. …

-run predictions of a wide class of theoretical models yields substantial improvements in the forecasting performance. …

higher frequency auxiliary data only for forecasting (see Giannone, Monti and Reichlin (2016)). The second method transforms … our method substantially decreases forecasting errors for recessions, but casting the model in a monthly frequency …

variancefunctions. In a genuine out-of-sample forecasting experiment theperformance of the best fitted asMA-asQGARCH model is compared … topure asMA and no-change forecasts. This is done both in terms ofconditional mean forecasting as well as in terms of risk … forecasting. …

series forecasting models for economic variables. In these models, the reduction of the predictors and the modeling and … forecasting of the response y are carried out in two separate and independent phases. We introduce a potentially more attractive … of widely used macroeconomic series data with one or two sufficient reductions delivering similar forecasting performance …