IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2007_199.html
   My bibliography  Save this paper

Modelling Dynamics of Sales in New Buildings: Moscow and Region

Author

Listed:
  • Yuriy Kochetkov

Abstract

This paper examines the issues encountered in the modelling dynamics sales of apartments during a period of realization of new building. Point is that a forecast of cash flow (income) is very important question for developers and investors. How much apartments we would sell in first month? In second one? When the last apartment will be sold? An extensive listing database of the apartments for sale has been employed to build the model describing the realization process. This database consists of about 1200 addresses of new buildings sold in 2002-2006 years in Moscow city and region. We have analyzed the dynamics of sales for these buildings to found the most suitable formulae for modelling this process. It seems that the best curves family is the so-called logistic curves, describing start, movement, and braking of a car. Of course we need to improve and modify logistic curve to reach the best fitting of the real situation. No doubt, the model does not purport to explain everything about real process on the apartment market. It has a lot of limitations: competitors on the market, changing in prices during realization, etc. But, at least, the model allows us to approximately predict the income in dependence of time. The last chapter of the paper is dedicated to the specificity of Moscow housing projects. With the help of our model we will try to explain the current strategy of new apartment sellers in Moscow city, psychology and behaviour of buyers.

Suggested Citation

  • Yuriy Kochetkov, 2007. "Modelling Dynamics of Sales in New Buildings: Moscow and Region," ERES eres2007_199, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2007_199
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2007-199
    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:eres2007_199. 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.