当前位置: X-MOL 学术Journal of Economic Studies › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Share price informativeness and dividend smoothing behavior in GCC markets
Journal of Economic Studies Pub Date : 2021-07-28 , DOI: 10.1108/jes-08-2020-0379
Razaz Felimban 1 , Sina Badreddine 2 , Christos Floros 3
Affiliation  

Purpose

This paper examines the dividend smoothing (DS) behaviour in the Gulf Cooperation Council (GCC) countries in emerging markets where the response to news and the economic environment are different from those of developed countries.

Design/methodology/approach

The authors examine the effect of share price informativeness on DS in the GCC markets using unbalanced panel data for a sample of 628 GCC-listed firms during 1994–2016. For the regression analysis, the hypotheses are tested using panel regressions and generalised method of moments (GMM) estimation.

Findings

First, the Lintner model shows that the DS degree in GCC firms is comparable to that of a developed market. Second, and importantly, the results reveal that the DS in GCC firms is sensitive to private information of share prices. Finally, the findings indicate that information asymmetry (IA) and agency-based models affect the tendency to smooth dividends in the GCC markets.

Originality/value

This study is the first study to measure the degree of DS using data for all GCC countries. The authors also identify other determinants of DS behaviour and test the agency and IA explanations for DS in GCC-listed firms. The findings are highly recommended to financial managers and analysts dealing with the GCC markets. This study helps financial analysts to use the share price informativeness as an indicator for the presence of the IA. The study results are beneficial to researchers in understanding the relationship between DS and share price informativeness.



中文翻译:

海湾合作委员会市场的股价信息量和股息平滑行为

目的

本文研究了海湾合作委员会 (GCC) 国家在对新闻和经济环境的反应与发达国家不同的新兴市场中的红利平滑 (DS) 行为。

设计/方法/方法

作者使用 1994-2016 年间 628 家 GCC 上市公司样本的不平衡面板数据,研究了 GCC 市场中股价信息量对 DS 的影响。对于回归分析,使用面板回归和广义矩量法 (GMM) 估计来检验假设。

发现

首先,Lintner 模型表明 GCC 公司的 DS 度与发达市场的相当。其次,重要的是,结果表明 GCC 公司的 DS 对股价的私人信息很敏感。最后,研究结果表明,信息不对称 (IA) 和基于代理的模型会影响 GCC 市场中股息平滑的趋势。

原创性/价值

这项研究是第一项使用所有 GCC 国家的数据来衡量 DS 程度的研究。作者还确定了 DS 行为的其他决定因素,并测试了 GCC 上市公司中 DS 的代理和 IA 解释。这些发现强烈推荐给处理 GCC 市场的财务经理和分析师。本研究帮助金融分析师使用股价信息量作为 IA 存在的指标。研究结果有助于研究人员了解DS与股价信息量之间的关系。

更新日期:2021-07-28
down
wechat
bug