A Further Empirical Investigation of the Dividend Adjustment Process
This paper analyzes the dividend adjustment process in the presence of cost of adjustment and information uncertainty. It proposes an integrated model consistent with the practical decision process to characterize the dividend adjustment process. It is analytically demonstrated that the residual the...
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sg-smu-ink.lkcsb_research-18182015-05-22T06:53:33Z A Further Empirical Investigation of the Dividend Adjustment Process WU, Chunchi Lee, C.F. Djarraya, Mohamed This paper analyzes the dividend adjustment process in the presence of cost of adjustment and information uncertainty. It proposes an integrated model consistent with the practical decision process to characterize the dividend adjustment process. It is analytically demonstrated that the residual theory, partial adjustment and adaptive expectations models are all special cases of the integrated model specified in this paper. Marquardt's non-linear regression method is adopted to estimate the parameters of the integrated model, using both quarterly and annual data of earnings and dividends from a randomly selected sample. Empirical results show that the integrated model better explains the firm's dividend decision process. 1987-01-01T08:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/819 info:doi/10.1016/0304-4076(87)90028-5 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Business |
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Business WU, Chunchi Lee, C.F. Djarraya, Mohamed A Further Empirical Investigation of the Dividend Adjustment Process |
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This paper analyzes the dividend adjustment process in the presence of cost of adjustment and information uncertainty. It proposes an integrated model consistent with the practical decision process to characterize the dividend adjustment process. It is analytically demonstrated that the residual theory, partial adjustment and adaptive expectations models are all special cases of the integrated model specified in this paper. Marquardt's non-linear regression method is adopted to estimate the parameters of the integrated model, using both quarterly and annual data of earnings and dividends from a randomly selected sample. Empirical results show that the integrated model better explains the firm's dividend decision process. |
format |
text |
author |
WU, Chunchi Lee, C.F. Djarraya, Mohamed |
author_facet |
WU, Chunchi Lee, C.F. Djarraya, Mohamed |
author_sort |
WU, Chunchi |
title |
A Further Empirical Investigation of the Dividend Adjustment Process |
title_short |
A Further Empirical Investigation of the Dividend Adjustment Process |
title_full |
A Further Empirical Investigation of the Dividend Adjustment Process |
title_fullStr |
A Further Empirical Investigation of the Dividend Adjustment Process |
title_full_unstemmed |
A Further Empirical Investigation of the Dividend Adjustment Process |
title_sort |
further empirical investigation of the dividend adjustment process |
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Institutional Knowledge at Singapore Management University |
publishDate |
1987 |
url |
https://ink.library.smu.edu.sg/lkcsb_research/819 |
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1770569709251461120 |