An Evolutionary Algorithmic Investigation of US Corporate Payout Policy Determination

  • Alexandros Agapitos
  • Abhinav Goyal
  • Cal Muckley
Part of the Studies in Computational Intelligence book series (SCI, volume 380)

Summary

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.

Keywords

Root Mean Square Error Genetic Program Leverage Rate Dividend Policy Symbolic Regression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Alexandros Agapitos
    • 1
  • Abhinav Goyal
    • 2
  • Cal Muckley
    • 2
  1. 1.Natural Computing Research and Applications Group & Financial Mathematics and Computation Research Cluster, Complex and Adaptive Systems LaboratoryUniversity College DublinIreland
  2. 2.School of BusinessUniversity College DublinIreland

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