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We propose a new approach to deal with structural breaks in time series models. The key contribution is an alternative dynamic stochastic specification for the model parameters which describes potential breaks. After a break new parameter values are generated from a so-called baseline prior...
Persistent link: https://www.econbiz.de/10011383033
We propose a new approach to deal with structural breaks in time series models. The key contribution is an alternative dynamic stochastic specification for the model parameters which describes potential breaks. After a break new parameter values are generated from a so-called baseline prior...
Persistent link: https://www.econbiz.de/10013130370
-2010 I exhaustively evaluate the forecasting properties of Bayesian shrinkage in regressions with many predictors. Results …
Persistent link: https://www.econbiz.de/10013126942
their simpler counterparts in both forecasting and capturing other audience measurement criteria. Finally, using machine …
Persistent link: https://www.econbiz.de/10009356633
Persistent link: https://www.econbiz.de/10009756308
Accurate prediction of risk measures such as Value at Risk (VaR) and Expected Shortfall (ES) requires precise estimation of the tail of the predictive distribution. Two novel concepts are introduced that offer a specific focus on this part of the predictive density: the censored posterior, a...
Persistent link: https://www.econbiz.de/10013064150
can lead to different conclusions on the forecasting performance of the MS-GJR model …
Persistent link: https://www.econbiz.de/10013156202
variables in the model, rather than just on future paths as it is usually done in the conditional forecasting literature. The … forecasting densities of a BVAR and a DSGE model on information about the marginal densities of future oil prices. The results …-inflation over the considered forecasting horizon. Finally, a real-time forecasting exercise yields that introducing market …
Persistent link: https://www.econbiz.de/10013463266
We present an estimation and forecasting method, based on a differential evolution MCMC method, for inference in GARCH … nearly all series. Finally, we carry out a forecasting exercise to evaluate the usefulness of structural break models. …
Persistent link: https://www.econbiz.de/10011116269
features of observed data and of forecasting oneperiod ahead output-gap and investment with a remarkable degree of accuracy. …
Persistent link: https://www.econbiz.de/10012119860