Stock Price Reactions on NASDAQ Stock Exchange for Special Dividend Announcements

Seyedimany, Arian

doi:10.28991/esj-2019-01200

Cited by 14 publications

(7 citation statements)

References 17 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Dhungel (2013) found that share price of most of the banks in Nepal is not significantly impacted by dividends. Seyedimany (2019) showed that shareholders are not in a position to gain value from the announcements of special dividend in NASDAC, which is in consistent with the dividend irrelevance hypothesis of Miller and Modigliani (1961) Alaeto (2018) found that dividend announcements fail to impart any information to react stock prices of firms listed on London Stock Exchange (LSE), which is in support of the M-M Dividend Irrelevance Theory. Allen and Rachim (1996) found no evidence that dividend yield is correlated with stock price volatility of Australian listed companies.…”

Section: Review Of Empirical Literaturementioning

confidence: 53%

The Impact of Dividend per Share on Stock Price of Companies Listed on Dhaka Stock Exchange

-¹,

-²,

-³

2022

IJFMR

View full text Add to dashboard Cite

This study intends to observe the impact of dividend per share on stock price of companies listed on Dhaka Stock Exchange. The study uses a firm-level panel data set of 61 companies from eight major sectors of DSE for ten years from 2008 to 2017. Pearson correlation was used to examine the relationship between dividend per share and stock price of each sector under the study and mixed results were found. Simple linear regression was also used to investigate the impact of dividend per share on stock price. The findings of the impact of dividend per share on stock price of companies of eight selected sectors produced very interesting results. The results of simple linear regression show that Banking, Food & Allied Product, Pharmaceuticals & Chemicals and Insurance sectors have significant impact of dividend per share on stock price, which supports the relevance theory of dividend i.e., Walter’s model and Gordon’s model. Furthermore, dividend per share has significant positive impact on stock price of Food & Allied Product and Pharmaceuticals & Chemicals sectors, while in Banking and Insurance sector, dividend per share has significant negative impact on stock price. On the other hand, there is no significant relationship between dividend per share and stock price of Financial Institutions, Engineering, Fuel & Power and Textile sectors, which supports Irrelevance theory of dividend i.e., MM Hypothesis. Thus, the impact of dividend on stock price has still remained a controversial issue. That is, dividend puzzle (Black, 1976) has not yet solved.

show abstract

Section: Review Of Empirical Literaturementioning

confidence: 53%

The Impact of Dividend per Share on Stock Price of Companies Listed on Dhaka Stock Exchange

-¹,

-²,

-³

2022

IJFMR

View full text Add to dashboard Cite

show abstract

“…A study by Bustani et al (2021) confirmed the significant impact of earning per stock and dividend payout ratio on stock prices of companies belonging to food and beverage sector at Indonesia Stock Exchange for a period of five years (2014–2018). Seyedimany (2019) investigated companies listed on NASDAQ for the period of 2014–2018 and found that the dividend announcement has no significant impact on stock price for the companies listed on NASDAQ. Syofyan et al (2020) investigated the companies listed on the Indonesia Stock Exchange in the period 2008–2010 and found that stock prices have significant positive relation with the dividend policies of the companies.…”

Section: Literature Reviewmentioning

confidence: 99%

Dividend policies and stock volatility-empirical evidence from Middle Eastern stock markets

Syed,

Bawazir,

AlSidrah

2023

RAF

View full text Add to dashboard Cite

Purpose The study aims to explore the relation between dividend policy of any company and its stock volatility. Design/methodology/approach Companies listed on six GCC stock markets are used in the analysis and the data ranges from 2006 to 2020. Fixed effect and random effect panel data analysis is used to explore the association between stock volatility and the dividend policies. Findings A significant negative relation is observed between dividend payout and stock volatility. Also, significant negative relation between stock volatility and equity is found, whereas insignificant positive relation is observed between asset growth and stock volatility. Research limitations/implications The data of all listed companies on six GCC markets were not available. Practical implications The question of raising dividend or maintaining at the current level is of utmost importance for the managers of any company before making any investment decisions. Also, the investors look at the dividend announcements as a sort of signal about the future prospect of the company. A stable or fluctuating dividends may be preferred by the investors that ultimately changes the stock price of any company. Social implications The relationship between dividend policy and the volatility of stock price is explored for emerging GCC markets which is the major significance of this paper which will have many social impacts on various stakeholders of any company including investors, regulators and employees, etc. Originality/value To the best of the authors’ knowledge, no study for GCC markets is done to establish a relation between stock volatility and the dividend policies which is needed by the academicians to further explore the behavior of these markets.

show abstract

“…Also, while planning a project, the managers asses the risk factors of different components including inventory management. In this context, we refer the interested readers to the current works of Mitsumori [34], Seyedimany [41], and Baylan [4].…”

Section: Literature Reviewmentioning

confidence: 99%

Cost optimization inventory model for deteriorating items with trapezoidal demand rate under completely backlogged shortages in crisp and fuzzy environment

Kumar

Paikray

2022

RAIRO-Oper. Res.

View full text Add to dashboard Cite

Recently, various deterministic inventory models were developed for deteriorating items with the uniform demand pattern (either increasing or decreasing) throughout the cycle. However, such types of models are not suitable for many real business problems. In particular, the demand patterns of various items are not steady throughout the cycle. In many inventory models, ordinarily, the demand rises first, then it becomes static and finally decreases, and such types of demands can be portrayed by considering trapezoidal functions. Moreover, the costs associated with the inventory become imprecise due to several socio-economical factors. As a result, the optimal solution obtained by the classical inventory model may not fit the actual scenario. Keeping this in view, we develop here an inventory model for deteriorating items having the trapezoidal type of demand function in both crisp and fuzzy environments by considering three possible cases of shortages which are completely backlogged. Furthermore, in view of the comparative study of both scenarios, different data sets of constraints are examined for optimal results. Also, it is observed that the optimal results of the fuzzy model are more appropriate to real-world inventory problems. Finally, in order to strengthen the present investigation, the managerial insight of fluctuation in parameters is presented analytically via sensitivity analysis.

show abstract

Stock Price Reactions on NASDAQ Stock Exchange for Special Dividend Announcements

Cited by 14 publications

References 17 publications

The Impact of Dividend per Share on Stock Price of Companies Listed on Dhaka Stock Exchange

The Impact of Dividend per Share on Stock Price of Companies Listed on Dhaka Stock Exchange

Dividend policies and stock volatility-empirical evidence from Middle Eastern stock markets

Cost optimization inventory model for deteriorating items with trapezoidal demand rate under completely backlogged shortages in crisp and fuzzy environment

Contact Info

Product

Resources

About