scholarly journals Stocks Abnormal Returns and Rate of Dividend Announcements

2021 ◽  
Vol 16 (11) ◽  
pp. 33
Author(s):  
Nagendra Marisetty ◽  
M. Suresh Babu

The present research study examined the impact of different dividend rate announcements on stocks prices in the Indian stock market. Stocks selected from S&P BSE 500 index and study period from 2008 – 2017. The sample used for this study is 1755 pure cash dividend announcements (492 large-caps, 425 mid-caps, and 838 small-caps). Dividend rates are classified into six classifications to test the stocks' abnormal returns to different dividend classifications. Event methodology market model used to calculate Average Abnormal Returns (AAR) and Cumulative Average Abnormal Returns (CAAR). The results were observed twenty-one times based on market capitalization and dividend rate wise for a final dividend announcement. The results of the study are not the same for different dividend rate classifications and different market capitalizations. The study found positive abnormal returns on event day in most of the classifications, and it is similar to Litzenberger and Ramaswamy (1982), Asquith and Mullins Jr (1983), Grinblatt, Masulis and Titman (1984), Chen, Nieh, Da Chen, and Tang (2009) and many previous research results studied in major developed stock markets and emerging stock markets. Full sample and small-cap final dividend rate 100 percent to 199 percent average abnormal returns are positively significant, and other final dividend rate classification abnormal returns are positive in most of the observations, but returns are not significant. Large-cap average abnormal returns are more sensitive to different dividend rates, and small-cap reacts positively in all classifications. So, different market capitalization final dividend actions impact on stocks in India varies in different dividend rate classifications.

2021 ◽  
Vol 13 (10) ◽  
pp. 139
Author(s):  
Nagendra Marisetty ◽  
M. Suresh Babu

This research primarily aims to study the impact of dividend announcements on the stock price of companies listed in the Indian stock market. Incidental to the study, it is necessary to understand whether the market trends have any role in affecting the changes in share prices due to dividend announcements. The companies listed on the stock market are diverse in terms of the industry, market capitalization, and performance. We analyze the S&P BSE 500 index stocks, which declare cash dividend every year without fail for ten years from 2008 – 17. Total 1755 sample was tested for dividend announcement and sample divided into large, medium, and small sample sizes based on the market capitalization of the stocks to test the market trend effect. Event methodology market model used to calculate the abnormal returns on the dividend announcement day. The present research study examined the impact of dividend announcements on stocks in the Indian stock market. The results observe in twenty-four times based on market capitalization wise and market trend-wise dividend announcements. The results of the study are not the same for all dividend announcement observations. The study found positive abnormal returns on event day in most of the dividend announcement observations and it is similar to Litzenberger and Ramaswamy (1982), Asquith and Mullins Jr (1983), Grinblatt, Masulis, and Titman (1984), Chen, Nieh, Da Chen, and Tang (2009) and many previous research results studied in major developed stock markets and emerging stock markets. Full sample, large-cap, and small-cap final dividend average abnormal returns are positively significant only in bull market trend (period 2) similar to Below and Johnson (1996) and other market trends final dividend announcement abnormal returns are positive in most of the observations, but returns are not significant. Average abnormal returns are sensitive to market trends, especially abnormal small-cap returns more vulnerable to market trends.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Ali Jibran Qamar ◽  
Asma Hassan ◽  
Mian Sajid Nazir ◽  
Abdul Haque

Purpose The purpose of this paper is to examine the impact of dividend announcements on the stock return of Shariah-compliant and conventional stocks. Design/methodology/approach An event study methodology is applied to study the beta anomaly. Market-adjusted return model, mean-adjusted return model and market model have been applied to calculate excess returns. Estimation period used in this study is 130 days, and event period consists of 21 days in total, i.e. starting from the day –10 “before the cash dividend announcement” to day +10 “after the cash dividend announcements. Findings It has been concluded from the results that dividend plays an informational role in the Pakistan Stock Exchange. As the investors in Pakistan react favorably to the dividend increase announcements and unfavorably to the dividend decrease announcements, they consider dividend increase announcement as good news and dividend decrease announcement as bad news. Practical implications The findings of this study have several implications for different participants of the stock market, such as investors, academicians, researchers, fund managers and policymakers. They can use this information to make decisions while making efficient portfolios. Investors may get abnormal returns by focusing on the dividend announcement patterns. This can influence the attitude of investors toward efficient investments in the stock market and ultimately contribute to the betterment of society. This study is also beneficial for academicians and researchers, as it provides a comparative analysis of Shariah-compliant and conventional stocks and the anomalous effect of dividend announcements on stock return. Originality/value Limited research in the world’s context and null is available in Pakistani context on the subject matter. The comparative analysis of “Shariah-compliant” and “conventional” stocks provides insight into the asset pricing of Shariah-compliant stocks that have not been explored earlier. This study also uses three different methods (mean model, market model and market-adjusted return models) to compare Shariah-compliant and conventional stocks


2017 ◽  
Vol 16 (1) ◽  
pp. 29-60 ◽  
Author(s):  
Sadaf Anwar ◽  
Shveta Singh ◽  
P. K. Jain

According to a recent survey by McKinsey and Company, the Indian manufacturing sector is expected to touch US$ 1 trillion by 2025.This study analyses the impact of the announcement of cash dividends on the stock price returns of the manufacturing companies listed on Bombay Stock Exchange using event study methodology. Further, it explores whether the US financial crisis recession impacted average abnormal returns (AARs) in the period of study. The empirical results show that cash dividend announcements have positive AARs. Overall, the results lend support to the signalling and informational content hypotheses of dividends. The paired samples t-test indicates a significant difference in the mean values of AARs in the pre-and post-recession phases, highlighting the impact of recession.


2020 ◽  
Vol 17 (2) ◽  
pp. 266-276
Author(s):  
Phuong Lai Cao Mai

Using macroeconomic factors as control variables, this paper examines the impact of corruption on the development of the stock market in East Asia and the Pacific (EAP) from 2008 to 2018. The research model uses GMM techniques to estimate panel data on two sub-sets of data, including five developed markets and seven emerging markets, and a dataset of both market groups. The market capitalization and the stock transaction value relative to GDP represent the development of the stock market, and the corruption control index represents the corruption factor. The empirical results found that corruption has a positive impact on the EAP stock market capitalization with the entire sample data set, which positively affects both size of the market capitalization value and value of stock transactions in underdeveloped markets. However, it is not statistically significant in explaining the development of developed stock markets. Besides, macroeconomic factors such as inflation, interest rates, savings, and credit affect some stock markets at EAP. Compared to previous studies, the article’s results found that corruption affects stock market capitalization and has a positive impact on stock liquidity in underdeveloped stock markets. Corruption affects more underdeveloped stock markets than developed stock markets. This may be due to the implicit relationship of economic benefits between large enterprises and officials in underdeveloped markets.


Author(s):  
Francis Cai ◽  
Lianzan Xu ◽  
C.K. Leung ◽  
Huifang Cheng

<p class="MsoNormal" style="text-justify: inter-ideograph; text-align: justify; margin: 0in 0.5in 0pt; text-autospace: ideograph-numeric; mso-layout-grid-align: auto;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;;"><span style="font-size: x-small;">This paper studies how the stock prices in Chinese stock markets react to the stock recommendations from a Chinese business newspaper Zhong Guo Zheng Quan Bao (China Security). Using event study methodology and market model as a benchmark, we calculate abnormal returns to ascertain the impact of published recommendations. We find that there are no statistically significant long-term abnormal returns associated with the published recommendations. However, there are profitable opportunities if investors act prior to the published recommendations. We also find that the recommendations from the newspaper causes a significant short term movement two days after the publication day, suggesting a delayed response from the investors who act on the recommendation. The delayed response shows the gradual dissemination of the information in Chinese stock markets. In summary, these results indicate that press recommendations of Chinese stocks contain no useful economic information for investors who act on the published recommendations. The possible abnormal returns for investors who buy the stocks before the recommendations are made public are evidence of a market that is strong-form inefficient and the delayed response from investors to the newspaper recommendations is most likely the evidence of a market that is semi-strong-form inefficient.</span></span></p>


2021 ◽  
Vol 14 (9) ◽  
pp. 94
Author(s):  
Nagendra Marisetty ◽  
Pardhasaradhi Madasu

The dividend signaling hypothesis means that dividend change announcements send signals to the market about its prospects. Market capitalization anomaly or size effect means small-cap stocks variances and returns are different than the large-cap stocks. The sample was tested for dividend change announcement, and the sample was divided into large, medium, and small sample sizes based on the market capitalization of the stocks to test the size effect. Event methodology market model used to calculate the abnormal returns on the dividend announcement day. We found that dividends send signals to the market, and the market reacts positively to the dividend change announcements on event day (Aharony and Swary 1980, Litzenberger and Ramaswamy 1982, Dhillon and Johnson 1994, Below and Johnson 1996), but results may vary with the size of the company. Small-cap companies&#39; variances are higher than the large-cap and mid-cap companies, and also small-cap variances are not equal to other variances results similar to Wong (1989), Bandara and Samarakoon (2002), Sehgal and Tripathi (2006), and Switzer (2010). Finally, we concluded that the dividend signaling hypothesis and market capitalization or size effect anomaly exist in the Indian stock market


2016 ◽  
Vol 7 (2) ◽  
Author(s):  
Babitha Rohit ◽  
Prakash Pinto ◽  
Shakila B.

The current paper studies the impact of two events i.e stock splits and rights issue announcement on the stock returns of companies listed on the Bombay Stock Exchange. The study consists of a sample of 90 announcements for stock splits and 29 announcements for rights issue during the period 2011-2014. Market model is used to calculate the abnormal returns of securities. Positive Average Abnormal Returns were observed for the two events on the day their announcements, however they are not statistically significant. The study concludes that the Indian stock market is efficient in its semi-strong form.


2018 ◽  
Vol 22 (1) ◽  
pp. 22-31
Author(s):  
P. A. Padmanabhan

Corporate restructuring has been on an increasing trend in India over the past two decades, and demergers are emerging as one of the important forms of corporate restructuring. While there is extensive literature on demergers abroad, there is limited literature on demergers in the Indian context. In this study, the impact of demerger announcements on shareholders’ wealth is analysed using event study. Demerger announcements made by 63 companies spread over 11 years from 2003 to 2014 are taken up for the study. Two different models, namely, mean-adjusted returns model and market model, are applied. Log returns are used in the study. The efficiency of the Indian stock market is also tested in the study. The results show positive abnormal returns during the event window under both mean-adjusted returns model and market model. The results also indicate that the Indian stock market exhibits semi-strong form efficiency.


2021 ◽  
Vol 16 (8) ◽  
pp. 71
Author(s):  
Nagendra Marisetty ◽  
Pardhasaradhi Madasu

Capital markets being the backbone of the economy, are expected to be functioning efficiently. Efficiently-priced financial markets are considered a catalyst for the economic growth of the nations (Malkiel, 2010). Efficient markets are the reflection of security valuations. In an informationally efficient market, no one can beat the market and make abnormal returns based on the information because the information is instantaneously observed in the stock prices. The current paper analyses the market efficiency of three of the most popular corporate events, i.e., announcement of cash dividends, bonus issues, and stock split in the Indian context. The sample is 2253 pure cash dividend announcements (627 large-caps, 552 mid-caps, and 1074 small-caps), 152 bonus issue announcements (49 large-caps, 33 mid-caps, and 70 small-caps), and 181 stock split announcements (35 large-caps, 34 mid-caps, and 112 small-caps) were used for this study. Event methodology market model used to calculate Average Abnormal Returns (AAR) and Cumulative Average Abnormal Returns (CAAR). The results of the study have few findings which are contradictory to the existing literature on market efficiency. The cash dividend announcements have shown evidence for market efficiency, and results are contrary to Gupta et al. (2012), but the results are similar to Mishra (2005). Bonus issue announcements also have shown evidence for a semi-strong form of efficiency, test results identical to Dhar and Chhaochharia (2008), Kumar and Mittal (2015). Stock split announcements have not shown market efficiency, and the effect is similar to the study of Lakshmi and Roy (2012) and contrary to Chavali and Zahid (2011). Our results also support the premise that the emerging countries depict evidence of market efficiency (Bechev, 2003). Finally, we conclude that market efficiency results differ based on corporate announcements and market capitalization.


2013 ◽  
Vol 4 (1) ◽  
pp. 4 ◽  
Author(s):  
Kavita Chavali ◽  
Nusratunnisa .

The study aims at finding the impact of dividends (cash and stock) on share price performance of companies in the Indian context. A sample of 67 fast moving consumer goods companies who made dividend announcements from April 2007 to August 2011 are taken. In this study, the Market Model Event Study Methodology has been employed to measure the effect of dividend announcements and its impact on the share price with a 41-day event window is taken. The stock price data is collected for 20 days prior to the dividend announcement, the share price on the announcement date (<em>An date</em>) t<sub>0</sub> and 20 days post the dividend announcement. The findings indicate that the market is found to react positively to dividend announcements and with a significantly positive Average Abnormal Returns (AAR) around the announcement date.


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