Soybean quality differentials, blending, testing and spatial arbitrage

2020 ◽  
Vol 18 ◽  
pp. 100095
Author(s):  
Wilson William ◽  
Bruce Dahl ◽  
David Hertsgaard
Keyword(s):  
2017 ◽  
Vol 28 (1) ◽  
pp. 97-116 ◽  
Author(s):  
Hemang Subramanian ◽  
Eric Overby

1999 ◽  
Vol 4 (4) ◽  
pp. 471-492 ◽  
Author(s):  
J.R. DESHAZO

For local public goods, supply or demand shocks may create periods during which it is welfare enhancing for households to undertake spatial arbitrage by relocating residentially. We point out that the magnitude and direction of the average benefit estimate obtained during such a transition period is likely to vary systematically depending upon the magnitude of the shock, the level of transaction costs and the extent to which other affected goods are substitutes or complements. We test a subset of our model's predictions using cross-sectional data on household demand for improved municipal services in post-socialist Romania. Our preliminary empirical analysis suggests that there have been substantial gains in welfare resulting from spatial adjustment following the opening up of housing markets. Furthermore, our results indicate that benefit estimates for improved water services during the transition may be substantially higher than long-run estimates. This limited evidence supports our concern that economists may recommend non-optimal levels of long-run investment, regulation, or user fees if they are unaware of the implications of future readjustment to supply or demand shocks.


1999 ◽  
Vol 3 (2) ◽  
pp. 226-242 ◽  
Author(s):  
Kenneth A. Foster ◽  
Arthur M. Havenner

Weekly live cattle prices in various markets would be expected to share common trends, i.e., they cannot be driven by separate nonstationarities because at some point the prices will diverge sufficiently for it to be economic to cross-ship the cattle, or at least the beef. This paper extends previous bivariate work to a multivariate analysis that is capable of modeling the multiple market linkages in prices for many geographical regions. The empirical estimation represents the application of an innovation on Aoki's Linear Systems State Space model that allows determination of long- and short-run dynamics common to multiple series. The common dynamics permit characterization of the multiple markets with a limited number of states (sufficient statistics for the past), resulting in dynamic arbitrage relations between the series. A nonparametric test is used to evaluate the value of expected arbitrage forecasts implied by the structure of the model. The arbitrage relationship also is employed to generate efficient discounts/premiums for either physical delivery or cash settlement of futures contracts. The proposed settlement mechanism accounts for spatial arbitrage opportunities and therefore better represents the true geographical discounts faced by traders in individual markets.


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