Showing 1 - 10 of 12
GDP forecasters face tough choices over which leading indicators to follow and which forecasting models to use. To help resolve these issues, we examine a range of monthly indicators to forecast quarterly GDP growth in a major emerging economy, Russia. Numerous useful indicators are identified...
Persistent link: https://www.econbiz.de/10011793839
Persistent link: https://www.econbiz.de/10011797781
GDP forecasters face tough choices over which leading indicators to follow and which forecasting models to use. To help resolve these issues, we examine a range of monthly indicators to forecast quarterly GDP growth in a major emerging economy, Russia. Numerous useful indicators are identified...
Persistent link: https://www.econbiz.de/10012900442
Building on a mixed data sampling (MIDAS) model we evaluate the predictive power of a variety of monthly macroeconomic indicators for forecasting quarterly Chinese GDP growth. We iterate the evaluation over forecast horizons from 370 days to 1 day prior to GDP release and track the release days...
Persistent link: https://www.econbiz.de/10013051099
Building on a mixed data sampling (MIDAS) model we evaluate the predictive power of a variety of monthly macroeconomic indicators for forecasting quarterly Chinese GDP growth. We iterate the evaluation over forecast horizons from 370 days to 1 day prior to GDP release and track the release days...
Persistent link: https://www.econbiz.de/10010376402
Persistent link: https://www.econbiz.de/10010506265
This paper presents a MIDAS type mixed frequency VAR forecasting model. First, we propose a general and compact mixed frequency VAR framework using a stacked vector approach. Second, we integrate the mixed frequency VAR with a MIDAS type Almon lag polynomial scheme which is designed to reduce...
Persistent link: https://www.econbiz.de/10010508351
This paper presents a MIDAS type mixed frequency VAR forecasting model. First, we propose a general and compact mixed frequency VAR framework using a stacked vector approach. Second, we integrate the mixed frequency VAR with a MIDAS type Almon lag polynomial scheme which is designed to reduce...
Persistent link: https://www.econbiz.de/10013025035
Most macroeconomic indicators failed to capture the sharp economic fluctuations during the Corona crisis in a timely manner. Instead, alternative high-frequency data have been used, aiming to monitor the economic situation. However, these data are often only loosely related to the business cycle...
Persistent link: https://www.econbiz.de/10012395297
The Nowcasting Lab is an automated code-database-website environment for GDP forecasting. It generates nowcasts and one-quarter ahead forecasts for quarterly GDP growth of the United States, the euro area, and currently 14 other economies using several forecasting models and a large amount of...
Persistent link: https://www.econbiz.de/10014257683