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Volatility and agent adaptability in a self-organizing market

Author

Listed:
  • Johnson, N.F.
  • Jarvis, S.
  • Jonson, R.
  • Cheung, P.
  • Kwong, Y.R.
  • Hui, P.M.

Abstract

We present results for the so-called “bar-attendance” model of market behavior: p adaptive agents, each possessing n prediction rules chosen randomly from a pool, attempt to attend a bar whose cut-off is s. The global attendance time series has a mean near, but not equal to, s. The variance, or “volatility”, can show a minimum with increasing adaptability of the individual agents.

Suggested Citation

  • Johnson, N.F. & Jarvis, S. & Jonson, R. & Cheung, P. & Kwong, Y.R. & Hui, P.M., 1998. "Volatility and agent adaptability in a self-organizing market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 258(1), pages 230-236.
    • Handle: RePEc:eee:phsmap:v:258:y:1998:i:1:p:230-236
    DOI: 10.1016/S0378-4371(98)00227-1
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    Citations

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    Cited by:

    1. Kets, W., 2007. "The Minority Game : An Economics Perspective," Other publications TiSEM 65d52a6a-b27d-45a9-93a7-e, Tilburg University, School of Economics and Management.
    2. Mansilla, R, 2000. "From naive to sophisticated behavior in multiagents-based financial market models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 284(1), pages 478-488.
    3. Thorsten Chmura & Thomas Pitz, 2007. "An Extended Reinforcement Algorithm for Estimation of Human Behaviour in Experimental Congestion Games," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-1.
    4. Matteo Marsili & Damien Challet, 2001. "Trading Behavior And Excess Volatility In Toy Markets," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 3-17.
    5. Chmura, Thorsten & Pitz, Thomas, 2004. "Minority Game: Experiments and Simulations of Traffic Scenarios," Bonn Econ Discussion Papers 23/2004, University of Bonn, Bonn Graduate School of Economics (BGSE).
    6. Epstein, Daniel & Bazzan, Ana L.C., 2013. "The value of less connected agents in Boolean networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5387-5398.
    7. Kagan Tumer & Adrian Agogino, 2009. "Multiagent Learning For Black Box System Reward Functions," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 12(04n05), pages 475-492.
    8. Li-Xin Zhong & Wen-Juan Xu & Ping Huang & Chen-Yang Zhong & Tian Qiu, 2013. "Self-organization and phase transition in financial markets with multiple choices," Papers 1312.0690, arXiv.org, revised Jun 2014.
    9. Li-Xin Zhong & Wen-Juan Xu & Fei Ren & Yong-Dong Shi, 2012. "Coupled effects of market impact and asymmetric sensitivity in financial markets," Papers 1209.3399, arXiv.org, revised Jan 2013.
    10. Zhong, Li-Xin & Xu, Wen-Juan & Ren, Fei & Shi, Yong-Dong, 2013. "Coupled effects of market impact and asymmetric sensitivity in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2139-2149.
    11. Marsili, Matteo & Challet, Damien & Zecchina, Riccardo, 2000. "Exact solution of a modified El Farol's bar problem: Efficiency and the role of market impact," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 280(3), pages 522-553.
    12. Zhong, Li-Xin & Xu, Wen-Juan & Chen, Rong-Da & Zhong, Chen-Yang & Qiu, Tian & Ren, Fei & He, Yun-Xing, 2018. "Self-reinforcing feedback loop in financial markets with coupling of market impact and momentum traders," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 301-310.
    13. Aki-Hiro Sato & Hideki Takayasu, 2001. "Derivation of ARCH(1) process from market price changes based on deterministic microscopic multi-agent," Papers cond-mat/0104313, arXiv.org.

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