  In this paper, we build a computational model for the analysis of
international wheat spot price formation, its dynamics and the dynamics of
internationally exchanged quantities. The model has been calibrated using
FAOSTAT data to evaluate its in-sample predictive power. The model is able to
generate wheat prices in twelve international markets and wheat used quantities
in twenty-four world regions. The time span considered goes from 1992 to 2013.
In our study, a particular attention was paid to the impact of Russian
Federation's 2010 grain export ban on wheat price and internationally traded
quantities. Among other results, we find that wheat average weighted world
price in 2013 would have been 3.55\% lower than the observed one if the Russian
Federation would not have imposed the export ban in 2010.
