Showing 1 - 10 of 71
Small or medium-scale VARs are commonly used in applied macroeconomics for forecasting and evaluating the shock … forecasting context. While none of the methods clearly emerges as best, some techniques turn out to be useful to improve the … forecasting performance. …
Persistent link: https://www.econbiz.de/10010905649
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
In the recent years several commentators hinted at an increase of the correlation between equity and commodity prices, and blamed investment in commodity-related products for this. First, this paper investigates such claims by looking at various measures of correlation. Next, we assess to what...
Persistent link: https://www.econbiz.de/10010787763
We propose a new VAR identfication scheme that enables us to disentangle labor supply shocks from wage bargaining shocks. Identification is achieved by imposing robust signrestrictions that are derived from a New Keynesian model with endogenous labor force participation. According to our...
Persistent link: https://www.econbiz.de/10011277156
-varying parameter specification in density forecasting. …
Persistent link: https://www.econbiz.de/10008516805
We estimate demand, supply, monetary, investment and financial shocks in a VAR identified with a minimum set of sign restrictions on US data. We find that financial shocks are major drivers of fluctuations in output, stock prices and investment but have a limited effect on inflation. In a second...
Persistent link: https://www.econbiz.de/10010800723
We introduce a Combined Density Nowcasting (CDN) approach to Dynamic Factor Models (DFM) that in a coherent way accounts for time-varying uncertainty of several model and data features in order to provide more accurate and complete density nowcasts. The combination weights are latent random...
Persistent link: https://www.econbiz.de/10011124200
uncertainty when forecasting the term structure of U.S.interest rates. We start off by analyzing and comparing the forecast …
Persistent link: https://www.econbiz.de/10008464563
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-sample forecasting experiment. Our results show that exploiting the informational content in a common global business cycle factor … improves forecasting accuracy in terms of both point and density forecast evaluation across a large panel of countries. In line … earlier in the evaluation sample. However, this time is different also in other respects. On longer forecasting horizons the …
Persistent link: https://www.econbiz.de/10011208180