Efficient Statistical Equilibria in Markets
AbstractIn this paper we will study statistical equilibria in commodity markets where agents have a specified utility attached to every transaction in their offer sets. A probability measure on the product of all offer sets is called benefit efficient if market transactions with higher total benefit are more probable. We will characterize all such probability measures and show how this defines a new family of statistical equilibria in commodity markets. If agents are indifferent with respect to utility, these equilibria reduce to the classical entropy maximizing states. Moreover, we show how to construct what we call the most likely explanation for a set of observed commodity prices.
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Bibliographic InfoPaper provided by Department of Business and Management Science, Norwegian School of Economics in its series Discussion Papers with number 2005/2.
Length: 19 pages
Date of creation: 26 May 2005
Date of revision:
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Postal: NHH, Department of Business and Management Science, Helleveien 30, N-5045 Bergen, Norway
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Fax: +47 55 95 96 50
Web page: http://www.nhh.no/en/research-faculty/department-of-business-and-management-science.aspx
More information through EDIRC
Commodity markets; statistical equilibria; efficient probability measures;
Find related papers by JEL classification:
- D40 - Microeconomics - - Market Structure and Pricing - - - General
- D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-10-21 (All new papers)
- NEP-FIN-2006-10-21 (Finance)
- NEP-FMK-2006-10-21 (Financial Markets)
- NEP-UPT-2006-10-21 (Utility Models & Prospect Theory)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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2006/3, Department of Business and Management Science, Norwegian School of Economics.
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