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An evolutionary algorithmic investigation of US corporate payout policy determination

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Author(s)
Agapitos, Alexandros 
Goyal, Abhinav 
Muckley, Cal 
Uri
http://hdl.handle.net/10197/3552
Date Issued
2011
Date Available
03T11:53:46Z April 2012
Abstract
This Chapter examines cash dividends and share repurchases in the United States during the period 1990 to 2008. In the extant literature a variety of classical statistical methodologies have been adopted, foremost among these is the method of panel regression modelling. Instead, in this Chapter, we have informed our model specifications and our coefficient estimates using a genetic program. Our model captures effects from a wide range of pertinent proxy variables related to the agency cost-based life cycle theory, the signalling theory and the catering theory of corporate payout policy determination. In line with the extant literature, our findings indicate the predominant importance of the agency-cost based life cycle theory. The adopted evolutionary algorithm approach also provides important new insights concerning the influence of firm size, the concentration of firm ownership and cash flow uncertainty with respect to corporate payout policy determination in the United States.
Sponsorship
Science Foundation Ireland
Type of Material
Book Chapter
Publisher
Springer
Copyright (Published Version)
2011 Springer Verlag Berlin Heidelberg
Keywords
  • Evolutionary algorith...

  • Cash dividends

  • Share repurchases

  • Panel regression mode...

Subject – LCSH
Evolutionary computation
Dividends--United States
Stock repurchasing
Regression analysis
DOI
10.1007/978-3-642-23336-4
Web versions
http://dx.doi.org/10.1007/978-3-642-23336-4_7
Language
English
Status of Item
Peer reviewed
Part of
Brabazon, A., O’Neill, M., Maringer, D. (eds.). Natural Computing in Computational Finance (Volume IV)
ISBN
978-3-642-23335-7
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
Owning collection
FMC² Research Collection
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