Futures basis, inventory and commodity price volatility: An empirical analysis
Lazaros Symeonidis (),
Marcel Prokopczuk (),
Chris Brooks and
MPRA Paper from University Library of Munich, Germany
We employ a large dataset of physical inventory data on 21 different commodities for the period 1993-2011 to empirically analyze the behaviour of commodity prices and their volatility as predicted by the theory of storage. We examine two main issues. First, we explore the relationship between inventory and the shape of the forward curve. Low (high) inventory is associated with forward curves in backwardation (contango), as the theory of storage predicts. Second, we show that price volatility is a decreasing function of inventory for the majority of commodities in our sample. This effect is more pronounced in backwardated markets. Our findings are robust with respect to alternative inventory measures and over the recent commodity price boom period.
Keywords: Forward curves; inventory; commodity price volatility; theory of storage; convenience yield (search for similar items in EconPapers)
JEL-codes: C59 C22 G00 G13 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-agr
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18) Track citations by RSS feed
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/39903/1/MPRA_paper_39903.pdf original version (application/pdf)
Journal Article: Futures basis, inventory and commodity price volatility: An empirical analysis (2012)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:39903
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().