Calendar Spread Options for Storable Commodities
Juheon Seok,
B Brorsen and
Weiping Li
No 150294, 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. from Agricultural and Applied Economics Association
Abstract:
Many previous studies provide pricing models of options on futures spreads. However, none of them fully reflect the economic reality that spreads can stay near full carry for long periods of time. We suggest a new option pricing model that assumes that convenience yield follows arithmetic Brownian motion and is truncated at zero. An analytical solution of the new pricing model is obtained. We empirically test the new model by testing the truth of its assumptions. We determine the distribution of calendar spreads and convenience yield for Chicago Board of Trade corn calendar spread options. Panel unit root tests fail to reject the null hypothesis of a unit root and thus support our assumption of arithmetic Brownian motion as opposed to a mean-reverting process as is assumed in much past research. The assumption that convenience yield is a normal distribution truncated at zero is only approximate as the volatility of convenience yield never goes to zero and spreads tend to approach full carry, but rarely reach full carry.
Keywords: Production Economics; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 37
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/150294/files/S ... ington%20DC-ver2.pdf (application/pdf)
Related works:
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:ags:aaea13:150294
DOI: 10.22004/ag.econ.150294
Access Statistics for this paper
More papers in 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().