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Bidding with Fees and Setting Effective Fees in a Double Auction Marketplace

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8862))

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Abstract

The double auction marketplace usually charges fees to traders to make profits. Although the bidding strategies in double auctions have been widely studied, little work has been done on analysing how market fees can affect bidding strategies, and how the marketplace selects appropriate fees to make profits. In this paper, we will investigate these two problems. Specifically, we choose four typical types of fees, and use a computational learning approach to analyse the Nash equilibrium bidding strategies of traders when different types of fees are charged. In doing so, we draw insights about how different types of market fees can affect the Nash equilibrium bidding strategies. Furthermore, we investigate which type of market fees is the most effective in terms of maximising market profits while keeping traders staying in the marketplace.

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References

  • Friedman, D., Rust, J.: The Double Auction Market: Institutions, Theories and Evidence. XIV of Santa Fe Institute Studies in the Science of Complexity. Perseus Publishing (1993)

    Google Scholar 

  • Fudenberg, D., Tirole, J.: Game Theory. The MIT Press (1991)

    Google Scholar 

  • Gjerstad, S., Dickhaut, J.: Price Formation in Double Auctions. Games and Economic Behavior 22, 1–29 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  • Gode, D.K., Sunder, S.: Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as A Partial Substitute for Individual Rationality. Journal of Politicial Economy 101(1), 119–137 (1993)

    Article  Google Scholar 

  • Monderer, D., Shapley, L.S.: Fictitious Play Property of Games with Identical Interests. Journal of Economic Theory 68(1), 258–265 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  • Rabinovich, Z., Gerding, E.H., Polukarov, M., Jennings, N.R.: Generalised Fictitious Play for A Continuum of Anonymous Players. In: 21st Joint Conference on Artificial Intelligence, pp. 245–250 (2009)

    Google Scholar 

  • Shi, B., Gerding, E.H., Vytelingum, P., Jennings, N.R.: An Equilibrium Analysis of Competing Double Auction Marketplaces using Fictitious Play. In: 19th European Conference on Artificial Intelligence, pp. 575–580 (2010)

    Google Scholar 

  • Shi, B., Gerding, E.H., Vytelingum, P., Jennings, N.R.: An Equilibrium of Market Selection Strategies and Fee Strategies in Competing Double Auction Marketplaces. Autonomous Agents and Multi-Agent Systems 26(2), 245–287 (2013)

    Article  Google Scholar 

  • Smith, V.L.: An Experimental Study of Competitive Market Behavior. Journal of Political Economy 70, 111–137 (1962)

    Article  Google Scholar 

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© 2014 Springer International Publishing Switzerland

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Shi, B. (2014). Bidding with Fees and Setting Effective Fees in a Double Auction Marketplace. In: Pham, DN., Park, SB. (eds) PRICAI 2014: Trends in Artificial Intelligence. PRICAI 2014. Lecture Notes in Computer Science(), vol 8862. Springer, Cham. https://doi.org/10.1007/978-3-319-13560-1_51

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  • DOI: https://doi.org/10.1007/978-3-319-13560-1_51

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13559-5

  • Online ISBN: 978-3-319-13560-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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