Quantifying Time-Varying Forecast Uncertainty and Risk for the Real Price of Oil
From MaRDI portal
Publication:6149865
DOI10.1080/07350015.2022.2039159OpenAlexW3170312803MaRDI QIDQ6149865
Hermann K. Van Dijk, Knut Are Aastveit, Unnamed Author
Publication date: 5 March 2024
Published in: Journal of Business & Economic Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07350015.2022.2039159
Cites Work
- Unnamed Item
- Unnamed Item
- The Model Confidence Set
- Dynamic prediction pools: an investigation of financial frictions and forecasting performance
- Combining predictive distributions
- Optimal prediction pools
- Modeling expert judgements for Bayesian updating
- Dynamic Bayesian predictive synthesis in time series forecasting
- Time-varying combinations of predictive densities using nonlinear filtering
- Combining inflation density forecasts
- Forecast accuracy and economic gains from Bayesian model averaging using time-varying weights
- Econometric Issues in the Analysis of Regressions with Generated Regressors
- Bayesian Aggregation
- FORECASTING INFLATION USING DYNAMIC MODEL AVERAGING*
- Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting
This page was built for publication: Quantifying Time-Varying Forecast Uncertainty and Risk for the Real Price of Oil