IDEAS home Printed from https://ideas.repec.org/p/cth/wpaper/gru_2017_001.html

Flipping in the Housing Market

Author

Listed:
  • Charles Ka Yui Leung

    (City University of Hong Kong)

  • Chung-Yi Tse

    (University of Hong Kong)

Abstract

We add arbitraging middlemen -- investors who attempt to profit from buying low and selling high -- to a canonical housing market search model. Flipping tends to take place in sluggish and tight, but not in moderate, markets. To follow is the possibility of multiple equilibria. In one equilibrium, most, if not all, transactions are intermediated, resulting in rapid turnover, a high vacancy rate, and high housing prices. In another equilibrium, few houses are bought and sold by middlemen. Turnover is slow, few houses are vacant, and prices are moderate. Moreover, flippers can enter and exit en masse in response to the smallest interest rate shock. The housing market can then be intrinsically unstable even when all flippers are akin to the arbitraging middlemen in classical finance theory. In speeding up turnover, the flipping that takes place in a sluggish and illiquid market tends to be socially beneficial. The flipping that takes place in a tight and liquid market can be wasteful as the efficiency gain from any faster turnover is unlikely to be large enough to offset the loss from more houses being left vacant in the hands of flippers. Based on our calibrated model, which matches several stylized facts of the U.S. housing market, we show that the housing price response to interest rate change is very non-linear, suggesting cautions to policy attempt to “stabilize” the housing market through monetary policy.

Suggested Citation

  • Charles Ka Yui Leung & Chung-Yi Tse, 2017. "Flipping in the Housing Market," GRU Working Paper Series GRU_2017_001, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
  • Handle: RePEc:cth:wpaper:gru_2017_001
    as

    Download full text from publisher

    File URL: https://www.cb.cityu.edu.hk/ef/doc/GRU/WPS/GRU%232017-001%20Charles%20Leung%20%26%20CY%20Tse.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:cth:wpaper:gru_2017_001. 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: GRU The email address of this maintainer does not seem to be valid anymore. Please ask GRU to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/decithk.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.