Mean reversion in stock prices: new evidence from panel unit root tests
Purpose - There are several studies that investigate evidence for mean reversion in stock prices. However, there is no consensus as to whether stock prices are mean reverting or random walk (unit root) processes. The goal of this paper is to re-examine mean reversion in stock prices. Design/methodology/approach - The authors use five different panel unit root tests, namely the Im, Pesaran and Shin Findings - The main finding is that there is no mean reversion of stock prices, consistent with the efficient market hypothesis. Research limitations/implications - One issue not considered by this study is the role of structural breaks. It may be the case that the efficient market hypothesis is contingent on structural breaks in stock prices. Future studies should model structural breaks. Practical implications - The findings have implications for econometric modelling, in particular forecasting. Originality/value - This paper adds to the scarce literature on the mean reverting property of stock prices based on panel data; thus, it should be useful for researchers.
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.
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.
Volume (Year): 24 (2007)
Issue (Month): 3 (August)
|Contact details of provider:|| Web page: http://www.emeraldinsight.com|
|Order Information:|| Postal: Emerald Group Publishing, Howard House, Wagon Lane, Bingley, BD16 1WA, UK|
Web: http://emeraldgrouppublishing.com/products/journals/journals.htm?id=sef Email:
When requesting a correction, please mention this item's handle: RePEc:eme:sefpps:v:24:y:2007:i:3:p:233-244. 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: (Virginia Chapman)
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.