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Proceedings of the 2021 International Conference on Research in Management & Technovation

Annals of Computer Science and Information Systems, Volume 28

Determinants of Dividend Smoothing: Empirical evidence from non-financial firms listed on Vietnam stock exchanges

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DOI: http://dx.doi.org/10.15439/2021KM91

Citation: Proceedings of the 2021 International Conference on Research in Management & Technovation, Vu Dinh Khoa, Shivani Agarwal, Gloria Jeanette Rincon Aponte, Nguyen Thi Hong Nga, Vijender Kumar Solanki, Ewa Ziemba (eds). ACSIS, Vol. 28, pages 35–41 ()

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Abstract. This study considers the impact of different factors on the degree of dividend smoothing of non-financial firms listed in Vietnam during 2008 - 2018. We use two measures (Speed of Adjustment and Relative Volatility) to evaluate the degree of dividend smoothing. Using 2SLS estimation to solve endogenous issues in the model, we show that dividend smoothing is higher for firms with fragmented ownership structure, slim growth opportunities, large size, high-profit volatility and are in the highly competitive sector. We also contribute to the literature by the new finding that the firm age has a nonlinear relation (U-shaped) with the degree of dividend smoothing. Our results support the agency theory

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