Showing 1 - 10 of 24
feature refers to near-instability within dynamic models, to forecasting with near-random walk models and to clustering of …
Persistent link: https://www.econbiz.de/10010731830
In modelling macroeconomic time series, often a monthly indicator of global real economic activity is used. We propose a new indicator, named World steel production, and compare it to other existing indicators, precisely the Kilian's index of global real economic activity and the index of OECD...
Persistent link: https://www.econbiz.de/10011277157
In modelling macroeconomic time series, often a monthly indicator of global real economic activity is used. We propose a new indicator, named World steel production, and compare it to other existing indicators, precisely the Kilian’s index of global real economic activity and the index of OECD...
Persistent link: https://www.econbiz.de/10011265853
benchmarks in terms of point and density forecasting. The gains are particular high when the full distribution is predicted and …
Persistent link: https://www.econbiz.de/10009292070
This paper examines the predictive power of weather for electricity prices in day-ahead markets in real time. We find that next-day weather forecasts improve the forecast accuracy of day-ahead electricity prices substantially, suggesting that weather forecasts can price the weather premium....
Persistent link: https://www.econbiz.de/10005481438
from the weather forecasting literature known as `ensemble modelling'. In this approach, uncertainty about model … provide two examples of this modelling strategy: (i) forecasting inflation with a disaggregate ensemble; and (ii) forecasting …
Persistent link: https://www.econbiz.de/10004976646
wholesale power markets have only recently been deregulated. We introduce the weather factor into well-known forecasting models …
Persistent link: https://www.econbiz.de/10005504905
volatility specifications, in terms of point forecasting to some degree and density forecasting to a greater degree. …
Persistent link: https://www.econbiz.de/10010787777
of point and density forecasting. The relative accuracy is higher when the full distribution is predicted. We also …
Persistent link: https://www.econbiz.de/10011157199
This paper shows entropic tilting to be a flexible and powerful tool for combining medium-term forecasts from BVARs with short-term forecasts from other sources (nowcasts from either surveys or other models). Tilting systematically improves the accuracy of both point and density forecasts, and...
Persistent link: https://www.econbiz.de/10011114922