Dividend policy, its asymmetric behavior and stock liquidity (2024)

This paper examines the impact of dividend policy on stock market liquidity, and whether the dividend payouts has an asymmetric effect on stock liquidity.

A multivariate panel-data regression analysis is conducted for a sample of the largest 411 nonfinancial US firms. Three main hypothesis are tested: (1) whether dividend payouts impact affect stock liquidity, (2) whether low and high dividend payments can asymmetrically effect on stock liquidity and (3) whether the presence of the GFC has an impact the relationship between dividend payments and stock liquidity.

The study finds that dividend policy is adversely associated with stock liquidity. This supports the prediction of the liquidity-dividend hypothesis. The authors also report that stock liquidity asymmetrically responds to changes in dividend payouts, confirming the prediction of the dividend-signaling approach. More specifically, higher dividend payments decrease stock liquidity by a lower magnitude than the increase in stock liquidity resulting from lower dividend payments. Finally, the presence of the GFC weakened the relationship between dividend payments and stock liquidity.

The paper can help in performing future research by using different dataset covering the COVID-19 crisis.

The paper allows market participants to better understand the impact of dividend policy and its asymmetric effects on stock liquidity. The authors’ analyses can direct investors and regulators to adopt new supervisory devices to create an appropriate level of dividend payouts that helps to effectively support the level of stock liquidity.

The paper intends to support the business community and to make strong contributions to the economic development and the welfare of the community.

The originality comes from its new evidence as it can help in assessing the importance of dividend policy and its asymmetric impact on stock liquidity in the full sample and during the GFC. The paper is helpful in performing future analyses using a new sample period for another set of data as well as accounting for COVID-19 pandemic crisis.