Modelling Dynamic Storage Function in Commodity Markets:Theory and Evidence
Luca Pieroni and
Matteo Ricciarelli
No 11/2005, Quaderni del Dipartimento di Economia, Finanza e Statistica from Università di Perugia, Dipartimento Economia
Abstract:
Stockholding decisions in agricultural commodity markets represent a source for strengthening risk management techniques related to future markets development. In this work, we propose a generalised dynamic approach to obtain a consistent stockholding decision rule, in which the cash and storage markets are modelled simultaneously. The qualitative dynamic investigation of the storage function is carried out by considering two heterogeneous categories of agents - processors and speculators – who are responsible of fluctuations of the spot price equation. Using the U.S. corn market data, empirical estimations are statistically robust and economically coherent with the theory
Keywords: Spot and Storage Markets; Convenience Yield; Inventories (search for similar items in EconPapers)
JEL-codes: G13 L71 Q40 (search for similar items in EconPapers)
Date: 2005-06-04
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www2.ec.unipg.it/quaderni/quad011.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to www2.ec.unipg.it:80 (A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond.)
Related works:
Journal Article: Modelling dynamic storage function in commodity markets: Theory and evidence (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:pia:wpaper:11/2005
Access Statistics for this paper
More papers in Quaderni del Dipartimento di Economia, Finanza e Statistica from Università di Perugia, Dipartimento Economia Contact information at EDIRC.
Bibliographic data for series maintained by Ubaldo Pizzoli ().