-type models provide poor out-of-sample forecasts of volatility. This is primarily based on the use of traditional forecast … evaluation criteria concerning the accuracy and the unbiasedness of forecasts. In this paper we provide an assessment of … suitable for the evaluation of volatility forecasts. …

The predictive accuracy of various econometrics models, including random walks, vector autoregressive and vector error …

The necessity of improving the forecasts accuracy grew in the context of ac- tual economic crisis, but few researchers … inflation rate forecasts on the horizon 2010 - 2012, we proved that the one-step-ahead forecasts based on updated AR(2) models … constructing the forecasts, by using the limits of the bias- corrected-accelerated bootstrap intervals for the initial data series …

forecasts made for Romanian by three experts in forecasting: F1, F2 and F3. All the unemployment rate forecasts over the horizon …-Timmermann test, the directional forecasts of F3 and the autumn expectations of F2 are useful and rational. …

the least reliable, whereas real GDP and real private consumption data are the most reliable. In addition, early forecasts … forecasts of all the variables seem to be no more accurate than naive forecasts based on the historical mean of the final data. …

more accurate than econometric models that include levels variables, ECMs. For example, dVAR forecasts are insulated from …