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Does reputation matter in the dividend smoothing policy of emerging market firms? Empirical evidence from India

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  • Karim Bux Shah Syed
  • Fauzi Bin Zainir
  • Mansor Isa

Abstract

Integrating reputational considerations in the analysis of dividend smoothing, we study the dividend smoothing determinants. We examine the extent to which the asymmetric information and agency costs theories explain dividend smoothing and whether their proxies' impact varies given the firm's reputation as a high- or low-smoothing firm. Our quantile regression results confirm that the determinants vary significantly across smoothing quantiles. In the low-smoothing quantiles, capturing firms with a lower tendency towards smoothing and hence facing lesser or no reputational concerns, the degree of dividend smoothing increases significantly with size, age, and tangibility, whereas it declines with ownership concentration and risk. Interestingly, most of these factors turn insignificant for firms in the high-smoothing quantiles, facing higher reputational stakes. Emphasizing the predominance of reputational effects on the determination of dividend smoothing, these findings help explain the dividend smoothing puzzle: why firms with lesser or no need for dividend smoothing still smooth high.

Suggested Citation

  • Karim Bux Shah Syed & Fauzi Bin Zainir & Mansor Isa, 2018. "Does reputation matter in the dividend smoothing policy of emerging market firms? Empirical evidence from India," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 18(3), pages 191-204, September.
  • Handle: RePEc:bor:bistre:v:18:y:2018:i:3:p:191-204
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    Cited by:

    1. Alla V. VAVILINA & Lidiya N. LEVANOVA & Irina N. TKACHENKO, 2019. "Interrelation between dividend policy and corporate reputation in Russian companies," Upravlenets, Ural State University of Economics, vol. 10(4), pages 14-23, September.
    2. Mudeer A. Khattak & Buerhan Saiti & Shabeer Khan, 2023. "Does market power explain margins in dual banking? Evidence from panel quantile regression," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1826-1844, April.

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