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Artificial Software Agents on Thin Double Auction Markets - A Human Trader Experiment

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Author Info
Jens Grossklags
Carsten Schmidt

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Abstract

This paper studies how software agents influence the market behavior of human traders. Programmed traders with a passive arbitrage seeking strategy are introduced in a double auction market experiment with human subjects in the laboratory. As a treatment variable, the influence of information on the existence of software agents is investigated. We found that common knowledge about the presence of software agents triggers more efficient market prices in the presence of the programmed strategy whereas an effect of the information condition on behavioral variables could not be observed. Surprisingly, the introduction of software agents results in lower market efficiency in the no information treatment when compared to the baseline treatment without software agents.

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Paper provided by Max Planck Institute of Economics, Strategic Interaction Group in its series Papers on Strategic Interaction with number 2002-45.

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Length: 27 pages
Date of creation: Dec 2002
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Handle: RePEc:esi:discus:2002-45

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Keywords: programmed traders; laboratory experiment; software agents; information aggregation;

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  17. Axel Ockenfels & Alvin E. Roth, 2001. "The Timing of Bids in Internet Auctions: Market Design, Bidder Behavior, and Artificial Agents," Papers on Strategic Interaction 2002-33, Max Planck Institute of Economics, Strategic Interaction Group. [Downloadable!]
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  19. Alvin E. Roth & Axel Ockenfels, 2002. "Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet," American Economic Review, American Economic Association, vol. 92(4), pages 1093-1103, September. [Downloadable!]
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  20. Copeland, Thomas E & Friedman, Daniel, 1991. " Partial Revelation of Information in Experimental Asset Markets," Journal of Finance, American Finance Association, vol. 46(1), pages 265-95, March. [Downloadable!] (restricted)
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