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Dividend payout ratios as determinants of earnings response coefficients : A test of the free cash flow theory

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  • Kallapur, Sanjay

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  • Kallapur, Sanjay, 1994. "Dividend payout ratios as determinants of earnings response coefficients : A test of the free cash flow theory," Journal of Accounting and Economics, Elsevier, vol. 17(3), pages 359-375, May.
    • Handle: RePEc:eee:jaecon:v:17:y:1994:i:3:p:359-375
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    Cited by:

    1. Zhang, Dan, 2018. "CEO dividend protection," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 194-211.
    2. Brucato, Peter Jr. & Smith, David M., 1997. "An analysis of the role of firm reputation in the market's reaction to corporate dividends," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(3), pages 647-665.
    3. Charles G. Ham & Zachary R. Kaplan & Steven Utke, 2023. "Attention to dividends, inattention to earnings?," Review of Accounting Studies, Springer, vol. 28(1), pages 265-306, March.
    4. S. P. Kothari & Charles Wasley, 2019. "Commemorating the 50‐Year Anniversary of Ball and Brown (1968): The Evolution of Capital Market Research over the Past 50 Years," Journal of Accounting Research, Wiley Blackwell, vol. 57(5), pages 1117-1159, December.
    5. Robert Freeman & Adam Koch & Haidan Li, 2011. "Can historical returns-earnings relations predict price responses to earnings news?," Review of Quantitative Finance and Accounting, Springer, vol. 37(1), pages 35-62, July.
    6. Xin Yao Li & Pei-Wen Chen, 2020. "Meeting Dividend Thresholds Through Earnings Management of Listed Companies in South Africa," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 10(6), pages 1-5.
    7. Gugler, Klaus, 2003. "Corporate governance, dividend payout policy, and the interrelation between dividends, R&D, and capital investment," Journal of Banking & Finance, Elsevier, vol. 27(7), pages 1297-1321, July.
    8. Smith, Deborah Drummond & Pennathur, Anita K. & Marciniak, Marek R., 2017. "Why do CEOs agree to the discipline of dividends?," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 38-48.
    9. David Ashton & Chau (Ruby) Trinh, 2018. "Evaluating the information content of earnings forecasts," Accounting and Business Research, Taylor & Francis Journals, vol. 48(6), pages 674-699, September.
    10. Namryoung Lee & Jaehong Lee, 2019. "R & D Intensity and Dividend Policy: Evidence from South Korea’s Biotech Firms," Sustainability, MDPI, vol. 11(18), pages 1-21, September.
    11. Schnaubelt, Matthias & Seifert, Oleg, 2020. "Valuation ratios, surprises, uncertainty or sentiment: How does financial machine learning predict returns from earnings announcements?," FAU Discussion Papers in Economics 04/2020, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.

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