IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-260-6_72.html

Real estate price prediction in Nanning based on grey model

In: Proceedings of the 2023 International Conference on Management Innovation and Economy Development (MIED 2023)

Author

Listed:
  • Hao Cheng

    (Guilin University of Electronic Technology, School of Computer Science and Information Security)

  • Jian Yang

    (Guilin University of Electronic Technology, School of Mathematics and Computing Science)

  • Chengyuan Fan

    (Guilin University of Electronic Technology, School of Computer Science and Information Security)

  • Hengfeng Xiang

    (Guilin University of Electronic Technology, School of Electronic Engineering and Automation)

  • Wenli Zhou

    (Guilin University of Electronic Technology, School of Computer Science and Information Security)

  • Ren Lin

    (Guilin University of Electronic Technology, School of Mathematics and Computing Science)

Abstract

With the rapid development of society and economy, the development of the real estate industry has always been in a leading position, but the change of housing prices has led to housing problems affecting every Chinese people. This paper predicts the trend of real estate prices in Nanning in the next 10 years. Firstly, a grey model is established, the simulation sequence is obtained by substituting the serial number of the relevant year, and the predicted value is compared with the original value by the posterior difference test method. Then, a grey GM(1, 1) model is established for the four main factors affecting housing prices respectively to predict the statistical values of these four factors in the next ten years. For the overfitting phenomenon existing in the prediction of some factors, linear regression fitting is used to predict the data in the next ten years after verifying the correlation. Finally, GM(0, N) estimation formula is used to forecast the real estate price in Nanning in the next ten years.

Suggested Citation

  • Hao Cheng & Jian Yang & Chengyuan Fan & Hengfeng Xiang & Wenli Zhou & Ren Lin, 2024. "Real estate price prediction in Nanning based on grey model," Advances in Economics, Business and Management Research, in: Luiz Moutinho & Carlos Flavian & Rita Yi Man Li & Qiwei Zhou (ed.), Proceedings of the 2023 International Conference on Management Innovation and Economy Development (MIED 2023), pages 575-583, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-260-6_72
    DOI: 10.2991/978-94-6463-260-6_72
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;

    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:spr:advbcp:978-94-6463-260-6_72. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.