Article ID: | iaor20162639 |
Volume: | 35 |
Issue: | 5 |
Start Page Number: | 400 |
End Page Number: | 418 |
Publication Date: | Aug 2016 |
Journal: | Journal of Forecasting |
Authors: | Girardi Alessandro, Gayer Christian, Reuter Andreas |
Keywords: | time series: forecasting methods, economics |
This paper evaluates the impact of new releases of financial, real activity and survey data on nowcasting euro area gross domestic product (GDP). We show that all three data categories positively impact on the accuracy of GDP nowcasts, whereby the effect is largest in the case of real activity data. When treating variables as if they were all published at the same time and without any time lag, financial series lose all their significance, while survey data remain an important ingredient for the nowcasting exercise. The subsequent analysis shows that the sectoral coverage of survey data, which is broader than that of timely available real activity data, as well as their information content stemming from questions focusing on agents' expectations, are the main sources of the ‘genuine’ predictive power of survey data. When the forecast period is restricted to the 2008–09 financial crisis, the main change is an enhanced forecasting role for financial data. Copyright 2015 John Wiley & Sons, Ltd.