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Bid distributions of competing agents in simple models of auctions

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  • D'Hulst, R.
  • Rodgers, G.J.

Abstract

Models of auctions or tendering processes are introduced. In every round of bidding the players select their bid from a probability distribution and whenever a bid is unsuccessful, it is discarded and replaced. For simple models, the probability distributions evolve to a stationary power law with the exponent dependent only on the number of players. For most situations, the system converges towards a state where all players are identical. A number of variations of this model are introduced and the application of these models to the dynamics of market makers is discussed. The effect of price uncertainty on bid distributions is presented. An underlying market structure generates heterogenous agents which do not have power law bid distribution in general.

Suggested Citation

  • D'Hulst, R. & Rodgers, G.J., 2001. "Bid distributions of competing agents in simple models of auctions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 294(3), pages 447-464.
  • Handle: RePEc:eee:phsmap:v:294:y:2001:i:3:p:447-464
    DOI: 10.1016/S0378-4371(01)00128-5
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    References listed on IDEAS

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    1. Cohen, Kalman J. & Maier, Steven F. & Schwartz, Robert A. & Whitcomb, David K., 1979. "Market Makers and the Market Spread: A Review of Recent Literature," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 14(4), pages 813-835, November.
    2. George, Thomas J. & Longstaff, Francis A., 1993. "Bid-Ask Spreads and Trading Activity in the S&P 100 Index Options Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(3), pages 381-397, September.
    3. Wahal, Sunil, 1997. "Entry, Exit, Market Makers, and the Bid-Ask Spread," Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 871-901.
    4. John Conlisk, 1996. "Why Bounded Rationality?," Journal of Economic Literature, American Economic Association, vol. 34(2), pages 669-700, June.
    5. Bak, P. & Paczuski, M. & Shubik, M., 1997. "Price variations in a stock market with many agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 430-453.
    6. Challet, D. & Zhang, Y.-C., 1997. "Emergence of cooperation and organization in an evolutionary game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 407-418.
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    Cited by:

    1. Zhang, Yunyi & Gong, Pu, 2018. "IPV model with Cobb–Douglas and reference-dependent utility functions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 121-131.

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