IDEAS home Printed from https://ideas.repec.org/a/rjr/romjef/vy2011i1p72-87.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.ipe.ro/rjef/rjef1_11/rjef1_2011p72-87.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    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. Kurt Dopfer, 2012. "The origins of meso economics," Journal of Evolutionary Economics, Springer, vol. 22(1), pages 133-160, January.
    2. Luis A. Gil-Alana & Rangan Gupta & Fernando Perez de Gracia, 2016. "Persistence, mean reversion and non-linearities in the US housing prices over 1830--2013," Applied Economics, Taylor & Francis Journals, vol. 48(34), pages 3244-3252, July.
    3. Daniele Moschella & Federico Tamagni & Xiaodan Yu, 2019. "Persistent high-growth firms in China’s manufacturing," Small Business Economics, Springer, vol. 52(3), pages 573-594, March.
    4. Albert Faber & Koen Frenken, 2008. "Models in evolutionary economics and environmental policy: Towards an evolutionary environmental economics," Innovation Studies Utrecht (ISU) working paper series 08-15, Utrecht University, Department of Innovation Studies, revised Apr 2008.
    5. Paul Oslington, 2012. "General Equilibrium: Theory and Evidence," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 446-448, September.
    6. Vyacheslav Mikhed & Petr Zemčík, 2009. "Testing for Bubbles in Housing Markets: A Panel Data Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 366-386, May.
    7. Giovanni Dosi & Emanuele Pugliese & Pietro Santoleri, 2017. "Growth and survival of the `fitter'? Evidence from US new-born firms," LEM Papers Series 2017/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Alessandra Canepa & Emilio Zanetti Chini & Huthaifa Alqaralleh, 2022. "Global Cities and Local Challenges: Booms and Busts in the London Real Estate Market," The Journal of Real Estate Finance and Economics, Springer, vol. 64(1), pages 1-29, January.
    9. Alessandra Canepa & Emilio Zanetti Chini & Huthaifa Alqaralleh, 2020. "Global Cities and Local Housing Market Cycles," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 671-697, November.
    10. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    11. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875, January.
    12. Luna, Ivette & Hiratuka, Celio & Haddad Netto, Elias Youssef, 2016. "Survival of the fittest or does size matter: What are the main drivers of Productivity in Brazil?," MPRA Paper 78208, University Library of Munich, Germany, revised 2016.
    13. Murat YILDIZOGLU, 2009. "Evolutionary approaches of economic dynamics (In French)," Cahiers du GREThA (2007-2019) 2009-16, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    14. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 509-580, Elsevier.
    15. Sydney Winter & Giovanni Dosi, 2000. "Interpreting Economic Change: Evolution, Structures and Games," LEM Papers Series 2000/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Hwang, Chiun-Lin, 1989. "Optimal monetary policy in an open macroeconomic model with rational expectation," ISU General Staff Papers 1989010108000010197, Iowa State University, Department of Economics.
    17. Michael Peneder, 2003. "Industry Classifications: Aim, Scope and Techniques," Journal of Industry, Competition and Trade, Springer, vol. 3(1), pages 109-129, March.
    18. Gilberto Tadeu Lima, 2000. "Market concentration and technological innovation in a dynamic model of growth and distribution," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 53(215), pages 447-475.
    19. Henrekson, Magnus & Johansson, Dan, 2010. "Firm Growth, Institutions and Structural Transformation," Ratio Working Papers 150, The Ratio Institute.
    20. Théret, Bruno, 2011. "Du keynésianisme au libertarianisme.La place de la monnaie dans les transformations du savoir économique autorisé," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 10.

    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

    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:rjr:romjef:v::y:2011:i:1:p:72-87. 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: Corina Saman (email available below). General contact details of provider: https://edirc.repec.org/data/ipacaro.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.