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. 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
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
A prediction model is any statement of a probability distribution for an outcome not yet observed. This study considers the properties of weighted linear combinations of n prediction models, or linear pools, evaluated using the conventional log predictive scoring rule. The log score is a concave...
Persistent link: https://www.econbiz.de/10011605063
In this paper we review the methodology of forecasting with log-linearised DSGE models using Bayesian methods. We focus … matrix of h-step ahead forecasts. In the empirical analysis, we examine the forecasting performance of the New Area … scope for improving the NAWM’s forecasting performance. For example, the model is not able to explain the moderation in wage …
Persistent link: https://www.econbiz.de/10011605231