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Intelligent Order Matching Systems for Commodity Markets

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  • Ho Geun Lee

Abstract

Automatic order matching systems have emerged as an electronic alternative to traditional markets. In current automatic order matching systems, price and quantity are the only product dimensions used for the order matching. However, a single‐commodity market is made up of many heterogeneous goods which are close to each other but different in qualities and delivery conditions. Price and quantity are important but represent only parts of product attributes that commodity traders want to take into account. This study aims to extend current automatic order matching systems by diversifying product dimensions. An intelligent order matching system not only maximizes the total transaction volume based on the price and quantity but also satisfies traders' qualitative preferences over attributes other than price and quantity. The intelligent order matching mechanism combines an economic model with a preference model to incorporate both quantitative and qualitative utility of market participants. Constraint logic programming is investigated as a new information technology to structure and implement the intelligent order matching system.

Suggested Citation

  • Ho Geun Lee, 1995. "Intelligent Order Matching Systems for Commodity Markets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 4(1), pages 1-12, March.
    • Handle: RePEc:wly:isacfm:v:4:y:1995:i:1:p:1-12
    DOI: 10.1002/j.1099-1174.1995.tb00076.x
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    References listed on IDEAS

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    2. Domowitz, Ian, 1993. "A taxonomy of automated trade execution systems," Journal of International Money and Finance, Elsevier, vol. 12(6), pages 607-631, December.
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