3 papers
econ.EM2026
Model selection confidence sets for time series models with applications to electricity load data
Piersilvio De Bortoli, Davide Ferrari, Francesco Ravazzolo +1
This paper studies the Model Selection Confidence Set (MSCS) methodology for univariate time series models involving autoregressive and moving average components, and applies it to…
econ.EM2026
Forecasting Oil Consumption: The Statistical Review of World Energy Meets Machine Learning
Jan Ditzen, Erkal Ersoy, Haoyang Li +1
This paper studies whether a small set of dominant countries can account for most of the dynamics of regional oil demand and improve forecasting performance. We focus on dominant d…
econ.EM2025
Modeling European Electricity Market Integration during turbulent times
Francesco Ravazzolo, Luca Rossini, Andrea Viselli
This paper introduces a novel Bayesian reverse unrestricted mixed-frequency model applied to a panel of nine European electricity markets. Our model analyzes the impact of daily fo…