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arxiv: 1508.03677 · v2 · pith:E3UHXIK3new · submitted 2015-08-14 · 💱 q-fin.GN · physics.soc-ph· q-fin.EC

How Market Structure Drives Commodity Prices

classification 💱 q-fin.GN physics.soc-phq-fin.EC
keywords pricescommoditiesagentscommoditydataexcessmarketmodel
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We introduce an agent-based model, in which agents set their prices to maximize profit. At steady state the market self-organizes into three groups: excess producers, consumers and balanced agents, with prices determined by their own resource level and a couple of macroscopic parameters that emerge naturally from the analysis, akin to mean-field parameters in statistical mechanics. When resources are scarce prices rise sharply below a turning point that marks the disappearance of excess producers. To compare the model with real empirical data, we study the relations between commodity prices and stock-to-use ratios of a range of commodities such as agricultural products and metals. By introducing an elasticity parameter to mitigate noise and long-term changes in commodities data, we confirm the trend of rising prices, provide evidence for turning points, and indicate yield points for less essential commodities.

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