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Агент - Ориентированная Модель Замкнутого Однотоварного Рынка

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  • Вороновицкий М.М.

Abstract

В работе сформулирована агент-ориентированная модель замкнутого рынка, т.е. рынка, на котором в каждый момент времени имеется одно и то же количество товара и одно и то же количество денег. Участники этого рынка в каждый момент времени могут быть продавцами или покупателями товара или не участвовать в торговле. Однако в следующий момент покупатель может превратиться в продавца или перестать участвовать в торговле (аналогичная ситуация возможна как для продавца так и для того, кто в данный момент не вовлечен в торговлю). Используя только собственную информацию о результатах торговли в предыдущий момент времени, участники торговли меняют свой статус и назначают новые цены. Математическая модель такого рынка была реализована в виде компьютерной программы, с помощью которой исследованы основные свойства рассматриваемой модели замкнутого рынка.

Suggested Citation

  • 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.
    • Handle: RePEc:scn:cememm:v:50:y:2014:i:2:p:73-87
    Note: Москва
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    References listed on IDEAS

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    1. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    2. Cipriani Marco & Guarino Antonio, 2008. "Herd Behavior and Contagion in Financial Markets," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-56, October.
    3. 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.
    4. 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.
    5. Yu, Tongkui & Li, Honggang, 2008. "Dynamic Regimes of a Multi-agent Stock Market Model," MPRA Paper 14339, University Library of Munich, Germany.
    6. Kim, Kyungsik & Yoon, Seong-Min & Kim, Yup, 2004. "Herd behaviors in the stock and foreign exchange markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 341(C), pages 526-532.
    7. Alan Kirman, 2011. "Learning in Agent-based Models," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 20-27.
    8. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-748, September.
    9. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    10. Cai, Shi-Min & Zhou, Pei-Ling & Yang, Hui-Jie & Yang, Chun-Xia & Wang, Bing-Hong & Zhou, Tao, 2006. "Diffusion entropy analysis on the scaling behavior of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 337-344.
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