Commodities' common factor: An empirical assessment of the markets' drivers
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DOI: 10.1016/j.jcomm.2016.10.002
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"Forecasting: theory and practice,"
International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
- Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
- Drachal, Krzysztof, 2019. "Forecasting prices of selected metals with Bayesian data-rich models," Resources Policy, Elsevier, vol. 64(C).
- Cortazar, Gonzalo & Ortega, Hector & Rojas, Maximiliano & Schwartz, Eduardo S., 2021. "Commodity index risk premium," Journal of Commodity Markets, Elsevier, vol. 22(C).
- Meng Han, 2023. "Commodity momentum and reversal: Do they exist, and if so, why?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1204-1237, September.
- Tang, Yusui & Zhong, Juandan, 2023. "Predicting gold volatility: Exploring the impact of extreme risk in the international commodity market," Finance Research Letters, Elsevier, vol. 58(PB).
- Fabio Gaetano Santeramo & Emilia Lamonaca & Francesco Contò & Gianluca Nardone & Antonio Stasi, 2018.
"Drivers of grain price volatility: a cursory critical review,"
Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(8), pages 347-356.
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More about this item
Keywords
Commodity-specific common factor; Generalized dynamic factor models; Co-movement;All these keywords.
JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
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