Extreme Connectedness among Energy Transition Metals and Commodity Markets
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DOI: 10.22004/ag.econ.396404
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- Andrea Bastianin & Chiara Casoli & Evzen Kocenda & Xiao Li, 2026. "Extreme Connectedness among Energy Transition Metals and Commodity Markets," Working Papers IES 2026/02, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2026.
- Andrea Bastianin & Chiara Casoli & Evzen Kocenda & Xiao Li, 2026. "Extreme Connectedness among Energy Transition Metals and Commodity Markets," Working Papers 2026.13, Fondazione Eni Enrico Mattei.
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Keywords
; ;JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
- Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2026-04-13 (Energy Economics)
- NEP-ENV-2026-04-13 (Environmental Economics)
- NEP-MIN-2026-04-13 (Mining)
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