Aluminium market and the macroeconomy
Melisso Boschi () and
Luca Pieroni
Journal of Policy Modeling, 2009, vol. 31, issue 2, 189-207
Abstract:
We propose a structural model of the interaction between the aluminium market and the macroeconomy incorporating the rational expectations hypothesis. Based on a competition à la Cournot, our model predicts that aluminium spot price and inventories will respond to macroeconomic shocks to line up supply to the demand level. The model also includes incomplete adjustments to shocks that occur near the delivery date of futures contracts with the implication of a likely high persistence in the aluminium spot price. Estimation results show that the influence of the real exchange rate and the real interest rate on the aluminium price, though statistically significant, is small. We argue that this result is largely expected once we consider the peculiar features of the aluminium market. Further support to this view is provided by the large persistence of the aluminium price response to its own shock and by the negligible contribution of stockholdings innovations to the price forecast error variance.
Keywords: Metal; commodities; Monetary; transmission; mechanism; Rational; expectations; hypothesis; test; SVAR (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0161-8938(08)00084-7
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Aluminium market and the macroeconomy (2008)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jpolmo:v:31:y:2009:i:2:p:189-207
Access Statistics for this article
Journal of Policy Modeling is currently edited by A. M. Costa
More articles in Journal of Policy Modeling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().