IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2019_274.html
   My bibliography  Save this paper

The Effects of Sentiment on Real Estate Price Using Time Series Analysis

Author

Listed:
  • Song-hee Baek
  • Myounggu Kang

Abstract

In recent years, real estate prices in Seoul have risen sharply and this phenomenon has not been adequately explained by existing theories. This study will examine the effect of people's sentiment on real estate prices. The variables of real estate price are based on the National Apartment Sale Price Index and the Seoul Apartment Sale Price Index of Korea Appraisal Board. And the variable of sentimental value is based on the real estate market sentiment index of the Ministry of Land, Transport and Maritime Affairs. Other economic and social variables include interest rates and stock price indexes, and their effects on long and short term to apartment price index. The cointegration test is used to examine long-term effects and the vector error correction model is used to see the short-term effects. Empirical results show that consumer sentiment affects the whole country and Seoul in the long run. In addition, it affects Seoul only in the short term. Moreover, sentimental variables are affected by Seoul apartment price index in the short term. In other words, the sentiment affects property prices in short and long term, and the relationship between sentimental variables and Seoul apartment price index is self - reinforcing. This implies a possibility of a bubble in the increasing price of the Seoul real estate market.

Suggested Citation

  • Song-hee Baek & Myounggu Kang, 2019. "The Effects of Sentiment on Real Estate Price Using Time Series Analysis," ERES eres2019_274, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2019_274
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2019-274
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Cointegration; Consumers Sentiment; Housing Price; Vector Error Correction Model(VECM);
    All these keywords.

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:eres2019_274. 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.