This paper derives new theoretical results for forecasting with Global VAR (GVAR) models. It is shown that the presence … Purchasing Managers Indices (PMIs) for forecasting global (48 countries) growth, and compare forecasts from AugGVAR models with a … number of data-rich forecasting methods, including Lasso, Ridge, partial least squares and factor-based methods. It is found …

This paper analyzes the forecasting performance of financial market data in comparison to other indicator groups to … evaluate the forecasting performance using a significance test. In addition, we investigate the stability of forecasting models …-term forecasting, especially for the US and longer forecast horizons. Nevertheless, the results indicate that the Great Recession was …

- and hard-threshold algorithms improves the forecasting performance, especially during periods of economic crisis. While a … effect on forecasting performance, all the more, if the set of indicators becomes unbalanced. …

We evaluate the forecasting performance of six different models for short-term forecasting of Macedonian GDP: 1) ARIMA …

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 …

evidence that the Phillips curves' goodness of fit is rather high. However, forecasting power is comparatively low. …