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Characterizing effective trading strategies : Insights from a computerized double auction tournament

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  • Rust, John
  • Miller, John H.
  • Palmer, Richard

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File URL: http://www.sciencedirect.com/science/article/B6V85-46MMW30-N/2/d083fa4edea8c6392501da66b763f572
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Bibliographic Info

Article provided by Elsevier in its journal Journal of Economic Dynamics and Control.

Volume (Year): 18 (1994)
Issue (Month): 1 (January)
Pages: 61-96

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Handle: RePEc:eee:dyncon:v:18:y:1994:i:1:p:61-96

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Web page: http://www.elsevier.com/locate/jedc

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Cited by:
  1. Shu-Heng Chen & Tina Yu, 2011. "Toward an Autonomous-Agents Inspired Economic Analysis," ASSRU Discussion Papers 1118, ASSRU - Algorithmic Social Science Research Unit.
  2. Carsten Schmidt & Jens Grossklags, 2004. "Interaction of Human and Artificial Agents on Double Auction Markets - Simulations and Laboratory Experiments," Papers on Strategic Interaction 2003-22, Max Planck Institute of Economics, Strategic Interaction Group.
  3. Nicolaisen, James & Petrov, Valentin & Tesfatsion, Leigh S., 2001. "Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing," Staff General Research Papers 2050, Iowa State University, Department of Economics.
  4. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
  5. Wurman, Peter R. & Wellman, Michael P. & Walsh, William E., 2001. "A Parametrization of the Auction Design Space," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 304-338, April.
  6. Karla Atkins & Achla Marathe & Chris Barrett, 2006. "A Computational Approach to Modeling Commodity Markets," Computing in Economics and Finance 2006 240, Society for Computational Economics.

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