Cargill, Vancouver B.C
This is the research of the AG-Econ team at North Dakota State University published in the Journal of Agricultural and Resource Economics.
The purpose of their study is to analyze spatial arbitrage for a trading ﬁrm handling soybeans with terminal facilities in both the U.S. Gulf and Paciﬁc Northwest.
A risk-constrained optimization model using Monte Carlo simulation with a copula joint distribution was speciﬁed to maximize arbitrage payoffs.
The portfolio consists of origin and destination prices as well as shipping costs for rail, barge, and ocean shipping.
I’ve skimmed through their paper (partly inspired by jacquessimon506.wordpress.com in its conceptional and intellectual foundation) and found it absolutely interesting.
As the authors suggest, this methodology can be expanded on with international markets, basis calculation…etc.
“Simon (2015) provides numerous simple examples of location arbitrage”.
“Conceptually, traders arbitrage price differences until markets have equal basis adjusted for shipping costs. In fact, location arbitrage is a “trading strategy to profit from market inefficiencies in price differences” (Simon 2015)”.
“Simon’s 2015 representation of the solution to spatial arbitrage refers to both an optimization problem and a stochastic problem.”
Kristopher D. Skadberg is former graduate student in Agribusiness and Applied Economics,
William W. Wilson is a university distinguished professor, Ryan Larsen is assistant professor, and Bruce Dahl is research scientist, all at North Dakota State University.
Key words: copula, spatial arbitrage, spatial competition, trading strategies
Skadberg, K. , William W., Larsen, R. (2015), Spatial Competition, Arbitrage,and Risk in U.S. Soybeans, Journal of Agricultural and Resource Economics 40(3):442–456
Navigating the Commodity Markets with Freight and Spreads (2015).”Simon, J.
retrieved from “Commodity Trading Case: The Location Arbitrage.”