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A discrete choice model of dividend reinvestment plans: classification and prediction

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  • Thomas P. Boehm
  • Ramon P. DeGennaro

Abstract

We study 852 companies with dividend reinvestment plans in 1999 matched by total assets to 852 companies without such plans. We use discrete choice methods to predict the classification of these companies. We interpret the misclassified companies as being likely to switch their plan status. That is, if a firm's financial data suggest that a company should have had a dividend reinvestment plan in 1999 but did not, then we expect that it would be more likely to institute a plan than the other companies in the sample. Conversely, if it did have a plan but the financial data suggest that it should not, then we expect that the company would be more likely to drop the plan. We use data from 2004 to explore this conjecture and find evidence supporting it. Our model is an economically and statistically reliable predictor of changes in plan status. We also identify which variables have the most influence on a company's decision whether or not to offer a plan.

Suggested Citation

  • Thomas P. Boehm & Ramon P. DeGennaro, 2007. "A discrete choice model of dividend reinvestment plans: classification and prediction," FRB Atlanta Working Paper 2007-22, Federal Reserve Bank of Atlanta.
    • Handle: RePEc:fip:fedawp:2007-22
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    References listed on IDEAS

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    1. Peterson, Pamela P & Peterson, David R & Moore, Norman H, 1987. "The Adoption of New-Issue Dividend Reinvestment Plans and Shareholder Wealth," The Financial Review, Eastern Finance Association, vol. 22(2), pages 221-232, May.
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    Cited by:

    1. Hussein Abedi Shamsabadi & Byung-Seong Min & Richard Chung, 2016. "Corporate governance and dividend strategy: lessons from Australia," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 12(5), pages 583-610, October.
    2. Shamsabadi, Hussein Abedi & Tebourbi, Imen & Nourani, Mohammad & Min, Byung S., 2021. "Corporate Governance and Dividend Reinvestment Plans: Insights from Imputation Tax in Australia," Finance Research Letters, Elsevier, vol. 41(C).
    3. Apostolos G. Katsafados & Dimitris Anastasiou, 2024. "Short-term prediction of bank deposit flows: do textual features matter?," Annals of Operations Research, Springer, vol. 338(2), pages 947-972, July.

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