• English
    • svenska
  • English 
    • English
    • svenska
  • Login
View Item 
  •   Home
  • School of Business, Economics and Law / Handelshögskolan
  • Department of Economics / Institutionen för nationalekonomi med statistik
  • Working papers
  • View Item
  •   Home
  • School of Business, Economics and Law / Handelshögskolan
  • Department of Economics / Institutionen för nationalekonomi med statistik
  • Working papers
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Testing Return Predictability with the Dividend-Growth Equation: An Anatomy of the Dog

Abstract
The dividend-growth based test of return predictability, proposed by Cochrane [2008, Review of Financial Studies 21, 1533-1575], is similar to a likelihood-based test of the standard return-predictability model, treating the autoregressive parameter of the dividend-price ratio as known. In comparison to standard OLS-based inference, both tests achieve power gains from a strong use of the exact value pos- tulated for the autoregressive parameter. When compared to the likelihood-based test, there are no power advantages for the dividend-growth based test. In common implementations, with the autoregressive parameter set equal to the corresponding OLS estimate, Cochrane's test also suffers from severe size distortions.
Other description
JEL: C22; G12
URI
http://hdl.handle.net/2077/60486
Collections
  • Working papers
View/Open
gupea_2077_60486_1.pdf (568.3Kb)
Date
2019-06
Author
Hjalmarsson, Erik
Kiss, Tamás
Keywords
Predictive regressions
Present-value relationship
Stock-return predictability
Publication type
report
ISSN
1403-2465
Series/Report no.
Working Papers in Economics
768
Language
eng
Metadata
Show full item record

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV