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Analyzing the Dynamics of Relative Prices on a Market with Speculative and Non-Speculative Agents Based on the Evolutionary Model

Author

Listed:
  • Dospinescu, Andrei Silviu

    (CEIS, CMM, NIER, Romanian Academy)

Abstract

The paper deals with an evolutionary model focused on the relation between the behavior of prices and the structure of the population of economic agents. The model allows for identification of the short-term behavior of prices and the dynamics of the population of economic agents in the context of seven scenarios. These scenarios are a combination of four key factors: market regulations, the maturity of the market; the intervention of the state on the market supply side and the modifications of the incentives to speculate and not-speculate. The main findings of the simulation of the scenarios are: i) The presence of speculators leave long lasting effects which do not die out with the decrease in the number of speculators; ii) In the presence of high speculations the intervention of the state can act as an anchor to the market helping to lower the prices; iii) The market forces have a more lasting effect than the state regulation mechanisms.

Suggested Citation

  • Dospinescu, Andrei Silviu, 2011. "Analyzing the Dynamics of Relative Prices on a Market with Speculative and Non-Speculative Agents Based on the Evolutionary Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 72-87, March.
    • Handle: RePEc:rjr:romjef:v::y:2011:i:1:p:72-87
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    References listed on IDEAS

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    1. Winter, Sidney G., 1984. "Schumpeterian competition in alternative technological regimes," Journal of Economic Behavior & Organization, Elsevier, vol. 5(3-4), pages 287-320.
    2. Sidney Winter & Yuri Kaniovski & Giovanni Dosi, 2003. "A baseline model of industry evolution," Journal of Evolutionary Economics, Springer, vol. 13(4), pages 355-383, October.
    3. Jonard, N. & Yfldizoglu, M., 1998. "Technological diversity in an evolutionary industry model with localized learning and network externalities," Structural Change and Economic Dynamics, Elsevier, vol. 9(1), pages 35-53, March.
    4. Capozza, Dennis R. & Seguin, Paul J., 1996. "Expectations, efficiency, and euphoria in the housing market," Regional Science and Urban Economics, Elsevier, vol. 26(3-4), pages 369-386, June.
    5. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
    6. Malpezzi, Stephen, 1999. "A Simple Error Correction Model of House Prices," Journal of Housing Economics, Elsevier, vol. 8(1), pages 27-62, March.
    7. Carpenter, Jeffrey P, 2002. "Evolutionary Models of Bargaining: Comparing Agent-Based Computational and Analytical Approaches to Understanding Convention Evolution," Computational Economics, Springer;Society for Computational Economics, vol. 19(1), pages 25-49, February.
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    Cited by:

    1. Dospinescu, Andrei Silviu, 2012. "Local Environment Analysis and Rules Inferring Procedure in an Agent-Based Model – Applications in Economics," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 128-143, March.

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    More about this item

    Keywords

    relative prices; speculative and non-speculative agents; evolutionary model;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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