both point and density forecasting performance over the sample 2011Q4-2020Q1. Our results show that MIDAS regressions with …

distinguishing whether the inflation observed by the ECB at the time of forecasting is above or below the target. The forecasts are …. Our findings bear important implications for the ECB forecasting process and ultimately for its communication strategy. …

Aggregate demand forecasting, also known as nowcasting when it applies to current quarter assessment, is of notable … indicate that the MIDAS regressions demonstrate comparable forecasting performance to that of MF-VAR model. Moreover, it is …

forecasting volatility. Key papers in this area include Andersen, Bollerslev, Diebold and Labys (2003), Corsi (2004), Andersen …

of point and density forecasting. The relative accuracy is higher when the full distribution is predicted. We also …

focusing on forecasting inflation and GDP growth in a panel of countries confirms this finding. …

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 …

tests. It is demonstrated that misspecifications of forecasting models can be detected within the proposed regression … power in many practical situations and therefore frequently selects incorrect forecasting models. The empirical results …

inflation developments, but has hardly been used for forecasting purposes. We propose a method of forecasting inflation based on … the present-value formulation of the hybrid New Keynesian Phillips Curve. To evaluate the forecasting performance of this …-of-the-art time series models used in inflation forecasting we employ a Bayesian VAR, a traditional VAR and a simple autoregressive …