statistical forecasting models improves the forecasting performance in almost all cases. However, the challenge to identify … irregular events and to find the appropriate time series from Google Insights for search remains. -- Forecast adjustment … ; Google Trends ; private consumption …

indicators for forecasting quarterly Chinese GDP growth. We iterate the evaluation over forecast horizons from 370 days to 1 day … 2009. Industrial production can be quite valuable for now- or even forecasting, but only if it is released shortly after … manufacturing purchasing managers' index of the Chinese National Bureau of Statistics help much for now- or forecasting. Our results …

This paper presents a MIDAS type mixed frequency VAR forecasting model. First, we propose a general and compact mixed … pseudo out-of-sample forecasting exercise with US real-time data yields that the mixed frequency VAR substantially improves …

combine the best forecasting tools with the possibility of incorporating their own judgement. In this context, we provide …

for forecasting GDP growth at short-term horizons in the euro area. We discuss three sets of empirical results. First we … forecast revisions. Third we design a pseudo out of sample forecasting exercise and examine point and density forecast accuracy …

The debate on the forecasting ability of non-linear models has a long history, and the Great Recession episode provides … us with an interesting opportunity for a reassessment of the forecasting performance of several classes of non …

In this paper, we investigate whether the Google search activity can help in nowcasting the year-on-year growth rates … of monthly US private consumption using a real-time data set. The Google-based forecasts are compared to those based on a …-Mariano test of equal predictive ability, the null hypothesis can be rejected suggesting that Google-based forecasts are …