Modelling dynamic storage function in commodity markets: Theory and evidence
Abstract
In this work, we derive a model to investigate the optimal storage policy in metal commodity markets. From an inter-temporal setting, we carry out a criterion driving the stockholding decisions based on Tobin's q rule in which marginal benefits from holding inventories can be compared with marginal storage costs. We estimate the model for the world copper market by taking into account both spot price and convenience yield equations. In our sample, the estimated models are statistically robust and economically coherent with the theory, even though the patterns of the inventory accumulation process show high sensitivity to the uncertainty about worldwide economic conditions.Download Info
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Bibliographic Info
Article provided by Elsevier in its journal Economic Modelling.
Volume (Year): 25 (2008)
Issue (Month): 5 (September)
Pages: 1080-1092
Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/30411
Related research
Keywords:Other versions of this item:
- Luca Pieroni & Matteo Ricciarelli, 2005. "Modelling Dynamic Storage Function in Commodity Markets:Theory and Evidence," Quaderni del Dipartimento di Economia, Finanza e Statistica 11/2005, Università di Perugia, Dipartimento Economia, Finanza e Statistica.
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
- L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
- Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
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Citations
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