We define nowcasting as the prediction of the present, the very near future and the very recent past. Crucial in this … collected at low frequency and published with long delays. Until recently, nowcasting had received very little attention by the … basis of simple models. We argue that the nowcasting process goes beyond the simple production of an early estimate as it …

model's ability to handle the unbalanced arrival of data, also yields favorable nowcasting properties and thus starting …

-on-quarter growth rates in Switzerland. It also assesses the informational content of macroeconomic data releases for forecasting of the … for GDP forecasting although their ranking depends on the underlying transformation of monthly indicators from which the …

-on-quarter growth rates in Switzerland. It also assesses the informational content of macroeconomic data releases for forecasting of the … for GDP forecasting although their ranking depends on the underlying transformation of monthly indicators from which the …

This study evaluates forecasting performance of a large-scale factor model developed in Siliverstovs and Kholodilin … (2012) in a genuine ex ante forecasting exercise. We perform our forecast of GDP growth in Switzerland in real time using …

-time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator …

across different horizons and real-time datasets. To further improve performances when forecasting with machine learning, we …

forecasting macroeconomic key variables such as GDP. However, the DFM has some weaknesses. For nowcasting, the dynamic factor … on euro-area data show that the now- and forecasting performance of our new model is superior to that of the subset …