Media type: E-Book Title: Forecasting energy commodity prices : a large global dataset sparse approach Contributor: Ferrari, Davide [Author]; Ravazzolo, Francesco [Author]; Vespignani, Joaquin [Author] Published: [Canberra]: Australian National University, Crawford School of Public Policy, Centre for Applied Macroeconomic Analysis, 2019 Published in: Australian National University: CAMA working paper series ; 201990 Extent: 1 Online-Ressource (circa 25 Seiten); Illustrationen Language: English Keywords: Energy Prices ; Forecasting ; Dynamic Factor model ; Sparse Estimation ; Penalized Maximum Likelihood ; Graue Literatur Origination: Footnote: Access State: Open Access