Showing 31 - 40 of 698,680
We compare real-time density forecasts for the euro area using three DSGE models. The benchmark is the Smets-Wouters model and its forecasts of real GDP growth and inflation are compared with those from two extensions. The first adds financial frictions and expands the observables to include a...
Persistent link: https://www.econbiz.de/10011813503
The severity function approach (abbreviated SFA) is a method of selecting adverse scenarios from a multivariate density. It requires the scenario user (e.g. an agency that runs banking sector stress tests) to specify a "severity function", which maps candidate scenarios into a scalar severity...
Persistent link: https://www.econbiz.de/10011755965
This paper provides a detailed assessment of the real-time forecast accuracy of a wide range of vector autoregressive …
Persistent link: https://www.econbiz.de/10012154665
This paper studies how to combine real-time forecasts from a broad range of Bayesian vector autoregression (BVAR …-term forecast horizons using both univariate and multivariate forecasting metrics. Results show that the Survey of Professional … Forecasters (SPF) provides good point forecast performance, but also that SPF forecasts perform poorly in terms of densities for …
Persistent link: https://www.econbiz.de/10012507233
to estimate BVARs with this family of priors - for a BVAR with 25 variables and 4 lags, obtaining 10,000 posterior draws …
Persistent link: https://www.econbiz.de/10012864330
We consider forecast combination and, indirectly, model selection for VAR models when there is uncertainty about which … variables to include in the model in addition to the forecast variables. The key difference from traditional Bayesian variable … models include the forecast variables, but may otherwise have differing sets of endogenous variables. This is a difficult …
Persistent link: https://www.econbiz.de/10014221496
We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a flexible model which accounts for both interdependencies in the cross section and time variations in the parameters. Posterior distributions for the parameters are obtained for a...
Persistent link: https://www.econbiz.de/10014159131
This paper uses a simple New Keynesian monetary DSGE model as a prior for a vector autoregression and shows that the resulting model is competitive with standard benchmarks in terms of forecasting and can be used for policy analysis
Persistent link: https://www.econbiz.de/10014048878
This paper uses a simple New-Keynesian monetary DSGE model as a prior for a VAR, shows that the resulting model is competitive with standard benchmarks in terms of forecasting, and can be used for policy analysis
Persistent link: https://www.econbiz.de/10014112365
Bayesian forecasting is a natural product of a Bayesian approach to inference. The Bayesian approach in general requires explicit formulation of a model, and conditioning on known quantities, in order to draw inferences about unknown ones. In Bayesian forecasting, one simply takes a subset of...
Persistent link: https://www.econbiz.de/10014023705