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Multiple commodities in statistical microeconomics: model and market

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Date
2016
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Abstract
A statistical generalization of microeconomics has been made in Baaquie (2013). In Baaquie et al. (2015), the market behavior of single commodities was analyzed and it was shown that market data provides strong support for the statistical microeconomic description of commodity prices. The case of multiple commodities is studied and a parsimonious generalization of the single commodity model is made for the multiple commodities case. Market data shows that the generalization can accurately model the simultaneous correlation functions of up to four commodities. To accurately model five or more commodities, further terms have to be included in the model. This study shows that the statistical microeconomics approach is a comprehensive and complete formulation of microeconomics, and which is independent to the mainstream formulation of microeconomics.
Keywords
Path integral , Statistical microeconomics , Action functional , Commodities , Market
Citation
Baaquie, B. E., Miao, Y., Xin, D. (2016). Multiple commodities in statistical microeconomics: model and market. Physica A, 462, 912-929. https://doi.org/10.1016/j.physa.2016.06.102
Publisher
Elsevier

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