Schick, Manuel
Preview |
PDF, English
- main document
Download (1MB) | Terms of use |
Citation of documents: Please do not cite the URL that is displayed in your browser location input, instead use the DOI, URN or the persistent URL below, as we can guarantee their long-time accessibility.
Abstract
This paper investigates nowcasting Growth-at-Risk (GaR) using consensus forecasts from the Survey of Professional Forecasters (SPF) in the US. Incorporating SPF consensus forecasts into the conditional mean of an AR-GARCH type model significantly enhances nowcasting accuracy for GaR and the conditional density of GDP growth. While there is strong time variation in both the lower and upper quantiles of the GDP growth distribution, integrating skewness and fat tails into the model does not improve forecasting accuracy. By accounting for changes in the conditional mean of the GDP growth distribution over time, these findings highlight the value of SPF consensus projections for GaR nowcasting.
Document type: | Working paper |
---|---|
Series Name: | AWI Discussion Paper Series |
Volume: | 0750 |
Publisher: | Universität |
Place of Publication: | Heidelberg |
Date Deposited: | 25 Jun 2024 10:51 |
Date: | 2024 |
Number of Pages: | 53 |
Faculties / Institutes: | The Faculty of Economics and Social Studies > Alfred-Weber-Institut for Economics |
DDC-classification: | 330 Economics |
Uncontrolled Keywords: | Growth-at-Risk, GARCH, Survey of Professional Forecasters |
Series: | Discussion Paper Series / University of Heidelberg, Department of Economics |