Showing 1 - 10 of 51
empirical application for the Italian quarterly GDP the short-term forecasting performance is evaluated against other mixed …
Persistent link: https://www.econbiz.de/10008835085
forecasting inflation, while the BVARX model fares better in forecasting …
Persistent link: https://www.econbiz.de/10011171339
reverse yield gap, the credit quality spread) for fore-casting real economic activity and inflation in the euro area. A … quarterly Bayesian vector autoregression model is used to assess the marginal forecasting power of financial spreads for real …
Persistent link: https://www.econbiz.de/10005111558
The prominent role assigned to money by the ECB has been the subject of an intense debate because of the declining predictive power of the monetary aggregate M3 for inflation in recent years. This paper reassesses the information content of monetary analysis for future inflation using dynamic...
Persistent link: https://www.econbiz.de/10004980170
This paper documents the existence of a significant forecast error on crude oil futures, particularly evident since the mid-1990s, which is negative on average and displays a non-trivial cyclical component (risk premium). We show that the forecast error on oil futures could have been explained...
Persistent link: https://www.econbiz.de/10005609334
Business investment is a very important variable for short- and medium-term economic analysis, but it is volatile and difficult to predict. Qualitative business survey data are widely used to provide indicators of economic activity ahead of the publication of official data. Traditional...
Persistent link: https://www.econbiz.de/10009386392
on the state of the Italian economy in the 1990s, taking as a benchmark the forecasting errors generated by the quarterly … forecasting errors in monetary and real variables, thereby taking into account links that may not be accounted for by the modelï …
Persistent link: https://www.econbiz.de/10005113577
This paper proposes the use of Bayesian model averaging (BMA) as a tool to select the predictors' set for bridge models. BMA is a computationally feasible method that allows us to explore the model space even in the presence of a large set of candidate predictors. We test the performance of BMA...
Persistent link: https://www.econbiz.de/10011099660
and forecasting the global outlook. Our main results are that (i) the rise of the emerging countries has sharply altered … the correlation of growth rates among the main economic areas; (ii) this is clearly detectable in forecasting equations as …
Persistent link: https://www.econbiz.de/10009654297
In this paper we explore the performance of bridge and factor models in forecasting quarterly aggregates in the very … targeted predictors using data reduction techniques as in Bai and Ng (2008). We then compare a Diffusion Index forecasting … these techniques to forecasting Italian GDP growth and its main components from the demand side and find that Bridge models …
Persistent link: https://www.econbiz.de/10009645792