IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2018_249.html
   My bibliography  Save this paper

Valuations and uncertainty in a post Brexit World

Author

Listed:
  • Nick French

Abstract

Valuation is often said to be an art not a science but this relates to the techniques employed to calculate value not to the underlying concept itself. Valuation is the process of estimating price in the market place. Yet, such an estimation will be affected by uncertainties. Uncertainty in the comparable information available; uncertainty in the current and future market conditions and uncertainty in the specific inputs for the subject property. These input uncertainties will translate into an uncertainty with the output figure, the valuation. The degree of the uncertainties has changed in recent years with a new economic reality where there is a perceived increase in risk and thus uncertaintyIn the UK at the moment the Royal Institution of Chartered Surveyors (RICS) has tightened up the way that uncertainty in the valuation should be conveyed to the user of the valuation.One of the major problems is that Valuation models (in the UK) are based upon comparable information and rely upon single inputs. They are not probability based, yet uncertainty is probability driven. In this paper, the author discusses the issues underlying uncertainty in valuations and suggest a probability-based model (using Crystal Balbpto address the shortcomings of the current model. Although the capitalisation model is analyzed, the paper concentrates upon the application of Crystal Ball to the investment cash flow approach.

Suggested Citation

  • Nick French, 2018. "Valuations and uncertainty in a post Brexit World," ERES eres2018_249, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2018_249
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2018-249
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Market Value; Probability; Property Valuation; Uncertainty;
    All these keywords.

    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:eres2018_249. 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.