• Forecasting Energy Commodity Prices: A Large Global Dataset Sparse Approach 

      Ferrari, Davide; Ravazzolo, Francesco; Vespignani, Joaquin (CAMP Working Paper Series;11/2019, Working paper, 2019-12)
      This paper focuses on forecasting quarterly energy prices of commodities, such as oil, gas and coal, using the Global VAR dataset proposed by Mohaddes and Raissi (2018). This dataset includes a number of potentially ...
    • Forecasting energy commodity prices: A large global dataset sparse approach 

      Ferrari, Davide; Ravazzolo, Francesco; Vespignani, Joaquin (Journal article; Peer reviewed, 2021)
      This paper focuses on forecasting quarterly nominal global energy prices of commodities, such as oil, gas and coal, using the Global VAR dataset proposed by Mohaddes and Raissi (2018). This dataset includes a number of ...
    • Nowcasting industrial production using linear and non-linear models of electricity demand 

      Galdi, Giulio; Casarin, Roberto; Ferrari, Davide; Fezzi, Carlo; Ravazzolo, Francesco (Peer reviewed; Journal article, 2023)
      This article proposes different modelling approaches which exploit electricity market data to nowcast industrial production. Our models include linear, mixed-data sampling (MIDAS), Markov-Switching (MS) and MS-MIDAS ...