IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/70460.html

Динамическая Модель Замкнутого Однотоварного Рынка С Конечными Автоматами В Качестве Участников
[The dynamic model of the closed market with one commodity and with finite linear automata as participants]

Author

Listed:
  • Voronovitsky, Mark

Abstract

The dynamic model of closed market with one commodity, which is some combination of autonomous and interacting participants, is a goal of investigating of this paper. Closure of the market means that quantity of the commodity and amount of money on the market are constant in the all moments of time. 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. The interaction is realized by the trade. 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 and trying to secure their partnership in trade in the next moment. The finite automata model the choice of the degree of risk at definition of new prices by participants The finite automata model the choice of the degree of risk at definition of new prices by participants. So we study the closed market with one commodity as a system interacting finite automata. We showed by the computer investigation the convergence of the average price of the market to a neighborhood of some his average value. We investigated also the role of volume of automata's memory, which represent of the participants of market, in the behavior of all our system

Suggested Citation

  • Voronovitsky, Mark, 2015. "Динамическая Модель Замкнутого Однотоварного Рынка С Конечными Автоматами В Качестве Участников [The dynamic model of the closed market with one commodity and with finite linear automata as participants]," MPRA Paper 70460, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:70460
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/70460/1/MPRA_paper_70460.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Topol, Richard, 1991. "Bubbles and Volatility of Stock Prices: Effect of Mimetic Contagion," Economic Journal, Royal Economic Society, vol. 101(407), pages 786-800, July.
    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. LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June.
    2. 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.
    3. 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.
    4. Вороновицкий М.М., 2016. "Динамическая Модель Замкнутого Однотоварного Рынка С Конечными Автоматами В Качестве Участников," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 52(2), pages 75-90, апрель.
    5. 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.
    6. 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.
    7. 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.
    8. James Payne & George Waters, 2007. "Have Equity REITs Experienced Periodically Collapsing Bubbles?," The Journal of Real Estate Finance and Economics, Springer, vol. 34(2), pages 207-224, February.
    9. Siddiqi, Hammad, 2007. "Rational Interacting Agents and Volatility Clustering: A New Approach," MPRA Paper 2984, University Library of Munich, Germany.
    10. 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.
    11. 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.
    12. A. Corcos & J-P Eckmann & A. Malaspinas & Y. Malevergne & D. Sornette, 2002. "Imitation and contrarian behaviour: hyperbolic bubbles, crashes and chaos," Quantitative Finance, Taylor & Francis Journals, vol. 2(4), pages 264-281.
    13. 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.
    14. Pegah Dehghani & Ros Zam Zam Sapian, 2014. "Sectoral herding behavior in the aftermarket of Malaysian IPOs," Venture Capital, Taylor & Francis Journals, vol. 16(3), pages 227-246, July.
    15. Christian Peretti, 2007. "Long Memory and Hysteresis," Springer Books, in: Gilles Teyssière & Alan P. Kirman (ed.), Long Memory in Economics, pages 363-389, Springer.
    16. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
    17. 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.
    18. 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.
    19. 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.
    20. 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.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

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

    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:70460. 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.