Out-of-sample stock return predictability in Australia
AbstractWe provide one of the first comprehensive studies on out-of-sample stock returns predictability in Australia. While most of the empirically well-known predictive variables fail to generate out-of-sample predictability, we document a significant out-of-sample prediction in forecasting ahead one-year and, to a lesser extent, one-quarter future excess returns, using a combination forecast of variables. We also find improved asset allocation using the combination forecast of these predictors. The combining methods are useful in predicting sector premia. Specifically, a sector rotation strategy relying on the combining methods outperforms the market by 3.27% per annum on a risk-adjusted basis.
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.
Bibliographic InfoArticle provided by Australian School of Business in its journal Australian Journal of Management.
Volume (Year): 37 (2012)
Issue (Month): 3 (December)
Contact details of provider:
Web page: http://www.agsm.edu.au
combination forecasts; out-of-sample predictability; portfolio allocation; predictive regression; sector rotation;
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- David R. Gallagher & Katja Ignatieva & James McCulloch, 2013. "Industry Concentration, Excess Returns and Innovation in Australia," Research Paper Series 334, Quantitative Finance Research Centre, University of Technology, Sydney.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (SAGE Publications).
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.