|Appears in Collections:||Accounting and Finance Journal Articles|
|Peer Review Status:||Refereed|
|Title:||A panel analysis of the stock returndividend yield relation: Predicting returns and dividend growth|
Wohar, Mark E
|Citation:||McMillan D & Wohar ME (2013) A panel analysis of the stock returndividend yield relation: Predicting returns and dividend growth. Manchester School, 81 (3), pp. 386-400. https://doi.org/10.1111/j.1467-9957.2011.02281.x|
|Abstract:||We investigate dividend yield predictability for stock returns and dividend growth for eight countries over the period 1973–2010. We employ panel methods and report evidence of such predictive power over the full sample. An examination by decade reveals that the predictive ability for stock returns and dividend growth varies with time. Indeed, the strength of this predictability switches between returns and dividend growth. In the 1970s only returns were predicted, while in the 1980s only dividend growth was predicted. In the 1990s and 2000s, both variables were predicted, although the coefficient magnitude and strength of the statistical relationship changes.|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
|MCMILLAN_et_al-2013-The_Manchester_School.pdf||Fulltext - Published Version||147.4 kB||Adobe PDF||Under Embargo until 2999-12-09 Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact email@example.com providing details and we will remove the Work from public display in STORRE and investigate your claim.