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to the cross-sectional dimension, the forecasting performance of small monetary VARs can be improved by adding additional …
Persistent link: https://www.econbiz.de/10011605012
. Nevertheless, their forecasting properties are still barely explored. We fill this gap by comparing the quality of real … priors from a DSGE model. We show that the analyzed DSGE model is relatively successful in forecasting the US economy in the … accurate short-term forecasts for interest rates. Conditional on experts' now casts, however, the forecasting power of the DSGE …
Persistent link: https://www.econbiz.de/10011605156
forecasting and policy analysis. BEAR is a MATLAB based toolbox which is easy for non-technical users to understand, augment and …
Persistent link: https://www.econbiz.de/10011605979
Those of professional forecasters do. For a wide range of time series models for the euro area and its member states we find a higher average forecast accuracy of models that incorporate information on inflation expectations from the ECB's SPF and Consensus Economics compared to their...
Persistent link: https://www.econbiz.de/10012661632
This paper considers Bayesian regression with normal and doubleexponential priors as forecasting methods based on large …
Persistent link: https://www.econbiz.de/10011604746
find satisfactory results in terms of forecasting, especially when looking at quarterly variables, such as employment …
Persistent link: https://www.econbiz.de/10012661629
We run a real exchange rate forecasting "horse race", which highlights that two principles hold. First, forecasts … real exchange rate forecasting. However, it fails to forecast nominal exchange rates better than the random walk. We find …
Persistent link: https://www.econbiz.de/10011605950
reversion and assume that relative prices are unchanged. Direct forecasting or panel data techniques are better than the random …
Persistent link: https://www.econbiz.de/10011916855
With the aim of constructing predictive distributions for daily returns, we introduce a new Markov normal mixture model in which the components are themselves normal mixtures. We derive the restrictions on the autocovariances and linear representation of integer powers of the time series in...
Persistent link: https://www.econbiz.de/10011604877
Bayesian inference in a time series model provides exact, out-of-sample predictive distributions that fully and coherently incorporate parameter uncertainty. This study compares and evaluates Bayesian predictive distributions from alternative models, using as an illustration five alternative...
Persistent link: https://www.econbiz.de/10011605015