Persistence in the return and volatility of home price indices
AbstractWe examine the return and volatility of the Standard & Poor's/Case--Shiller (S&P/CS) real estate indices for evidence of long memory in the form of fractional differencing. Examining the long memory properties of these indices is relevant, in part, because effectively hedging real estate price risk through the construction of minimum variance dynamic hedge ratios requires proper modelling of long memory dynamics, and evidence of long memory would imply a violation of weak form efficiency. We find evidence of very persistent long memory in both the return and volatility of real estate indices. For real estate index returns, the evidence of persistent long memory contrasts sharply with other asset classes such as stocks, bonds and commodities. The evidence of long memory in real estate return volatility is in accordance with the volatility dynamics in other asset classes, although the degree of persistence is greater. We also find that some evidence of greater persistence may be due to nonlinearities in the underlying data generating process.
Download InfoIf 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Financial Economics.
Volume (Year): 22 (2012)
Issue (Month): 22 (November)
Contact details of provider:
Web page: http://www.tandfonline.com/RAFE20
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Ezzat, Hassan, 2013. "Long Memory Processes and Structural Breaks in Stock Returns and Volatility: Evidence from the Egyptian Exchange," MPRA Paper 51465, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
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.