IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2012_121.html
   My bibliography  Save this paper

Modelling the real estate market dynamics with catastrophe theory

Author

Listed:
  • Miros_aw Beej
  • S_awomir Kulesza

Abstract

The paper concerns the description of the issues related to the dynamics of the real estate market in periods of sudden, unexpected changes in real estate prices, on positive or negative direction, which were observed in the last decade in many European countries and in the United States. Disturbances of stable trends resulted from the global macroeconomic instability, which indirectly affected the behavior of unstable real estate markets. When such phenomena occur in many real estate markets, it suggests that the markets take on the characteristics of structurally unstable systems, which are influenced by small changes in control parameters suffer sudden discontinuous changes in its state. The essential problem is the need to define and give a new meaning for periods of stable and unstable real estate market development, giving large amounts of importance to discontinuous changes. The research would make it possible to model the hardly explored field of sudden changes in the real estate market in order to reveal the edge of discontinuity. The scientific hypothesis is that the periods of sudden price changes reflect an crucial feature of the real estate market, and they constitute the turning points of its development. The evolution path of the real estate market under the influence of the control parameters runs mostly over the areas of long-term stability, and occasionally enters into the instability area According to the authors of the paper the current, classical approximate methods used in the analysis of long-term trends, do not give the right results with discontinuous changes in real estate prices. The proper way to model abrupt price changes is the theory of discontinuous change, also known as the theory of morphogenesis, or the catastrophe theory. The proposed research is interdisciplinary, because we are using the methods and theories from mathematics, physics and natural sciences to understand the mechanisms of real estate prices.

Suggested Citation

  • Miros_aw Beej & S_awomir Kulesza, 2012. "Modelling the real estate market dynamics with catastrophe theory," ERES eres2012_121, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2012_121
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2012-121
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    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:arz:wpaper:eres2012_121. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.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.