IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

Can Anchoring and Loss Aversion Explain the Predictability in the Housing Market?

  • Tin Cheuk Leung

    (The Chinese University of Hong Kong)

  • Kwok Ping Tsang

    (Virginia Tech and Hong Kong Institute for Monetary Research)

We offer an explanation of why changes in house prices are predictable. Extending the static model in Leung and Tsang (2010), we analyze the housing market with loss averse sellers and anchoring buyers in a dynamic setting. A buyer's current offer price increases with the housing unit's previous purchase price, and the seller has the tendency to delay the sale of a housing unit that has a loss. We show that when both cognitive biases are present, changes in house prices are predicted by price dispersion and trade volume. Using a sample of housing transactions in Hong Kong from 1992 to 2006, we find that price dispersion and transaction volume are indeed powerful predictors of housing return. For forecasting both in and out of sample, the two variables perform as well as conventional predictors like real interest rate and real stock return.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

Paper provided by Hong Kong Institute for Monetary Research in its series Working Papers with number 162011.

in new window

Length: 24 pages
Date of creation: May 2011
Date of revision:
Handle: RePEc:hkm:wpaper:162011
Contact details of provider: Postal: 55th Floor , Two International Finance Centre , 8 Finance Street , Central, Hong Kong
Phone: (852)2878 1978
Fax: (852)2878 7006
Web page:

More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:hkm:wpaper:162011. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (HKIMR)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.