IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/70439.html

The Agent-Based Model of the Closed Market of the One Commodity with Finite Automata as Participants of the Market

Author

Listed:
  • Voronovitsky, Mark

Abstract

The model of market of one commodity , in which there is in each moment of time the same quantity of goods and the same quantity of money was formulated and researched in this paper. Each partner of the market in the one moment of time can be in one of three status: to be buyer, be seller and do not take part in trade in this moment of time. Partners of market change their statuses and prices, by using the personal information of each of them about trade in the previous moment of time only.. The nature of dynamics of the set of prices of participants was investigated analytically.. The central result of the investigation is the using some finite automata with two action(careful and risky) as a model of a participant of market. The convergence of trajectory of our system to stationary set of states with average price of trade which is close to some constant when behavior of all agent is careful and bounded hesitation of this trajectory when there are risky agents only. These facts are established by series of experiments with computer realization of the model. in the cases when all agents can fulfil only one kind of action and when all agents are identical simple determinate automata with linear tactic with careful and risky actions.. Some cases of the herd behavior of participants were considered in this investigation. We investigate our agent based models first of all as models of trade, but it will be useful to note that these models are example of some complicated self-adjusting systems also. This work was fulfiled by me only.I certify that I have the right to deposit the contribution with MPRA

Suggested Citation

  • Voronovitsky, Mark, 2015. "The Agent-Based Model of the Closed Market of the One Commodity with Finite Automata as Participants of the Market," MPRA Paper 70439, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:70439
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/70439/1/MPRA_paper_70439.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alan Kirman, 2011. "Learning in Agent-based Models," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 20-27.
    2. LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999. "Time series properties of an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1487-1516, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Вороновицкий М.М., 2014. "Агент - Ориентированная Модель Замкнутого Однотоварного Рынка," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 50(2), pages 73-87, апрель.
    2. Вороновицкий М.М., 2015. "Агент-Ориентированная Модель Замкнутого Однотоварного Рынка При Рациональном Предпочтении Участников," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 51(3), pages 64-80, июль.
    3. Petrović, Marko & Ozel, Bulent & Teglio, Andrea & Raberto, Marco & Cincotti, Silvano, 2020. "Should I stay or should I go? An agent-based setup for a trading and monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    4. Westerhoff Frank H., 2008. "The Use of Agent-Based Financial Market Models to Test the Effectiveness of Regulatory Policies," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 195-227, April.
    5. Ehrentreich, Norman, 2006. "Technical trading in the Santa Fe Institute Artificial Stock Market revisited," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 599-616, December.
    6. Kamaladdin Fataliyev & Aneesh Chivukula & Mukesh Prasad & Wei Liu, 2021. "Stock Market Analysis with Text Data: A Review," Papers 2106.12985, arXiv.org, revised Jul 2021.
    7. Liu, Chunping & Minford, Patrick, 2014. "Comparing behavioural and rational expectations for the US post-war economy," Economic Modelling, Elsevier, vol. 43(C), pages 407-415.
    8. Siddiqi, Hammad, 2007. "Rational Interacting Agents and Volatility Clustering: A New Approach," MPRA Paper 2984, University Library of Munich, Germany.
    9. Hommes, Cars & Huang, Hai & Wang, Duo, 2005. "A robust rational route to randomness in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 29(6), pages 1043-1072, June.
    10. Brock, William A. & Hommes, Cars H. & Wagener, Florian O. O., 2005. "Evolutionary dynamics in markets with many trader types," Journal of Mathematical Economics, Elsevier, vol. 41(1-2), pages 7-42, February.
    11. Scott C. Linn & Nicholas S. P. Tay, 2007. "Complexity and the Character of Stock Returns: Empirical Evidence and a Model of Asset Prices Based on Complex Investor Learning," Management Science, INFORMS, vol. 53(7), pages 1165-1180, July.
    12. Christian Peretti, 2007. "Long Memory and Hysteresis," Springer Books, in: Gilles Teyssière & Alan P. Kirman (ed.), Long Memory in Economics, pages 363-389, Springer.
    13. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
    14. Yeh, Chia-Hsuan & Yang, Chun-Yi, 2010. "Examining the effectiveness of price limits in an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2089-2108, October.
    15. Gaunersdorfer, A. & Hommes, C.H. & Wagener, F.O.O., 2000. "Bifurcation Routes to Volatility Clustering," CeNDEF Working Papers 00-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    16. Yamamoto, Ryuichi, 2019. "Dynamic Predictor Selection And Order Splitting In A Limit Order Market," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1757-1792, July.
    17. Chueh-Yung Tsao & Ya-Chi Huang, 2018. "Revisiting the issue of survivability and market efficiency with the Santa Fe Artificial Stock Market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 537-560, October.
    18. Roberto Savona & Maxence Soumare & Jørgen Vitting Andersen, 2015. "Financial Symmetry and Moods in the Market," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-21, April.
    19. Fischer, Thomas & Riedler, Jesper, 2014. "Prices, debt and market structure in an agent-based model of the financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 95-120.
    20. He, Xue-Zhong & Lin, Shen, 2022. "Reinforcement Learning Equilibrium in Limit Order Markets," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D49 - Microeconomics - - Market Structure, Pricing, and Design - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:70439. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.