An Empirical Study of Stock Split Announcements of Select BSE Sectors Using Event Study Methodology

2015 ◽  
Vol 6 (1) ◽  
pp. 1 ◽  
Author(s):  
Asha Nadig
Keyword(s):  
Health Care ◽  
Stock Market ◽  
Event Study ◽  
Abnormal Returns ◽  
Market Model ◽  
Stock Splits ◽  
Consumer Durables ◽  
Stock Market Reaction ◽  
Stock Split ◽  
Indian Stock Market

This study examines the stock market reaction to stock splits between 2002 and 2013 of 6 sectors of BSE-Auto, Bankex, Consumer Durables, FMCG, Health Care and IT sectors to find out if the Indian stock market is semi-strong efficient or not. The methodology used is event study under the market model. Samples of 14 stock splits are considered spread across 6 sectors. The results indicate that there are significant positive abnormal returns prior to split announcements. On the day of split announcement, 1 sector reacts positively (Health Care-3.3%) and the 5 react negatively (Auto -1%, Bankex -0.9%, CD -0.3%, FMCG -1%, and IT-1%). The results indicate that the null hypothesis, H<sub>0</sub>1, that there is no significant AAR around the stock split announcement dates is accepted.

Impact of Stock Splits and Rights Issue Announcements on Market Price: Evidence from India

2016 ◽  
Vol 7 (2) ◽  
Author(s):  
Babitha Rohit ◽  
Prakash Pinto ◽  
Shakila B.
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Market Price ◽  
Abnormal Returns ◽  
Market Model ◽  
Stock Splits ◽  
Indian Stock Market ◽  
Rights Issue ◽  
The Impact

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.

Do Demerger Announcements Impact Shareholders Wealth? An Empirical Analysis Using Event Study

2018 ◽  
Vol 22 (1) ◽  
pp. 22-31
Author(s):  
P. A. Padmanabhan
Keyword(s):  
Stock Market ◽  
Event Study ◽  
Abnormal Returns ◽  
Corporate Restructuring ◽  
Market Model ◽  
Extensive Literature ◽  
Event Window ◽  
Increasing Trend ◽  
Indian Stock Market ◽  
The Impact

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.

Stock market reaction to cash dividends: evidence from the Nigerian stock market

2019 ◽  
Vol 45 (3) ◽  
pp. 366-380
Author(s):  
Friday Kennedy Ozo ◽  
Thankom Gopinath Arun
Keyword(s):  
Stock Market ◽  
Event Study ◽  
Stock Price ◽  
Abnormal Returns ◽  
Cash Dividend ◽  
Content Type ◽  
Price Reaction ◽  
Stock Market Reaction ◽  
Dividend Announcements ◽  
Stock Price Reaction

PurposeVery little is known about the effect of dividend announcements on stock prices in Nigeria, despite the country’s unique institutional environment. The purpose of this paper is, therefore, to provide empirical evidence on this issue by investigating the stock price reaction to cash dividends by companies listed on the Nigerian Stock Exchange.Design/methodology/approachStandard event study methodology, using the market model, is employed to determine the abnormal returns surrounding the cash dividend announcement date. Abnormal returns are also calculated employing the market-adjusted return model as a robustness check and to test the sensitivity of the results toβestimation. The authors also examine the interaction between cash dividends and earnings by estimating a regression model where announcement abnormal returns are a function of both dividend changes and earnings changes relative to stock price.FindingsThe study find support for the signaling hypothesis: dividend increases are associated with positive stock price reaction, while dividend decreases are associated with negative stock price reaction. Companies that do not change their dividends experience insignificant positive abnormal returns. The results also suggest that both dividends and earnings are informative, but dividends contain information beyond that contained in earnings.Research limitations/implicationsThe sample for the study includes only cash dividend announcements occurring without other corporate events (such as interim dividends, stock splits, stock dividends, and mergers and acquisitions) during the event study period. The small firm-year observations may limit the validity of generalizations from these conclusions.Practical implicationsThe findings are useful to researchers, practitioners and investors interested in companies listed on the Nigerian stock market for their proper strategic decision making. In particular, the results can be used to encourage transparency and good governance practices in the Nigerian stock market.Originality/valueThis paper adds to the very limited research on the stock market reaction to cash dividend announcements in Nigeria; it is the first of its kind employing a unique cash dividends data.

scholarly journals Signaling Hypothesis and Size Anomaly in Indian Stock Market

2021 ◽  
Vol 14 (9) ◽  
pp. 94
Author(s):  
Nagendra Marisetty ◽  
Pardhasaradhi Madasu
Keyword(s):  
Stock Market ◽  
Size Effect ◽  
Abnormal Returns ◽  
Small Sample ◽  
Market Model ◽  
Market Capitalization ◽  
Dividend Signaling ◽  
Small Sample Sizes ◽  
Indian Stock Market ◽  
Signaling Hypothesis

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

AN ANALYSIS OF ABNORMAL RETURNS ASSOCIATED WITH STOCK SPLIT

2021 ◽  
pp. 1-14
Author(s):  
JYOTI PANDEY ◽  
VINAY KANDPAL ◽  
NEERAJ NAUTIYAL
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Model ◽  
Stock Splits ◽  
Event Window ◽  
Stock Split ◽  
Secondary Information ◽  
The Impact

A stock split is when a company’s outstanding shares are divided into multiple shares by issuing more shares to current shareholders without eroding their stake’s value. The company typically takes these actions to increase liquidity and marketability, lower stock prices, attract new investors and so on. The purpose of this study is to examine the impact of stock splits on the stock returns during the study period. Companies listed on the Bombay Stock Exchange (BSE) and those included in the S&P BSE 500 Index are included in the stock split data. The study period covers 14 years, between 2008 and 2021. Market model event study methodology is being employed to analyze the average abnormal returns (AARs), cumulative abnormal returns (CARs) and cumulative AAR (CAARs) using an event window period consisting of 31 days ([Formula: see text]). The study is largely based on secondary information from the CMIE Prowess IQ Database and the official BSE website. The [Formula: see text]-test, mean and standard deviation were used to investigate the influence of stock split announcements on share prices and the performance of stock splits before and after the announcement. The study found that on ([Formula: see text]), ([Formula: see text]), ([Formula: see text]) and ([Formula: see text]) and on the day of the announcement ([Formula: see text]), the market reacted favorably with significant positive abnormal returns. On ([Formula: see text]) and ([Formula: see text]) days, however, there were significant negative abnormal returns. The null hypothesis is accepted as the CAR for the whole 31-day event window, which is 0.0221, with a [Formula: see text]-statistic of 1.692, which is insignificant.

scholarly journals Conteúdo Informacional dos Ratings de Crédito no Brasil: Um Estudo de Evento

2013 ◽  
Vol 11 (4) ◽  
pp. 503 ◽  
Author(s):  
Flávia Cruz de Souza Murcia ◽  
Fernando Dal-Ri Murcia ◽  
José Alonso Borba
Keyword(s):  
Stock Returns ◽  
Event Study ◽  
Credit Rating ◽  
Abnormal Returns ◽  
Bad News ◽  
Market Model ◽  
Stock Market Reaction ◽  
It Impacts ◽  
Standard And Poor's ◽  
Rating Downgrades

This study analyzes the effect of credit rating announcements on stock returns in the Brazilian market during 1997-2011. We conducted an event study using a sample of 242 observations of listed companies, 179 from Standard and Poor’s and 63 from Moody’s, to analyze stock market reaction. Abnormal returns have been computed using the Market Model and CAPM for three windows: three days (-1, +1), 11 days (-5, +5) and 21 days (-10, +10). We find statistically significant abnormal returns in days -1 and 0 for all the three types of rating announcement tested: initial rating, downgrades and upgrades. For downgrades, consisted with prior studies, our results also showed negative abnormal returns for all practically all windows tested. Overall, our findings evidence the rating announcements do have information content, as it impacts stock returns causing abnormal returns, especially when they bring ‘bad news’ to the market.

scholarly journals Event Study on the Crash of Airasia Plane: A Study on Travel and Leisure Companies Listed at Malaysian Stock Market

2018 ◽  
Vol 20 (1) ◽  
pp. 20 ◽  
Author(s):  
Tatang Ary Gumanti Ary Gumanti ◽  
Enni Savitri ◽  
Nurul Wahidatun Nisa ◽  
Elok Sri Utami
Keyword(s):  
Stock Market ◽  
Event Study ◽  
Trading Volume ◽  
Abnormal Returns ◽  
Volume Activity ◽  
Stock Market Reaction ◽  
Standard Procedures ◽  
Significant Difference ◽  
Before And After ◽  
Leisure Industry

This study analyzes the Malaysian stock market reaction in the event of the crash of AirAsia plane on 28 December 2014. The analysis is focused on the travel and leisure industry as the crash would affect more on this type of industry. A total of 15 companies met the selection criteria. The study uses the event study standard procedures in testing the proposed hypotheses. Results show that abnormal returns after the crash tend to decrease, yet no significant abnormal returns were found in the period before and after the event. Median abnormal return after the event is significantly higher than before the event at the traditional level. Another finding shows that there is no significant difference in trading volume activity between before and after the event.

scholarly journals Dividend Announcements and Market Trends

2021 ◽  
Vol 13 (10) ◽  
pp. 139
Author(s):  
Nagendra Marisetty ◽  
M. Suresh Babu
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Abnormal Returns ◽  
Small Sample ◽  
Market Model ◽  
Market Capitalization ◽  
Dividend Announcements ◽  
Market Trends ◽  
Indian Stock Market ◽  
The Impact

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&amp;P BSE 500 index stocks, which declare cash dividend every year without fail for ten years from 2008 &ndash; 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.

scholarly journals Random Walk Investigation in Indian Market with special reference to S&P Nifty – Fifty Stocks

2015 ◽  
Vol 4 (4) ◽  
pp. 52-61
Author(s):  
Tamilselvan Manickam ◽  
R Madhumitha
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Empirical Support ◽  
Weak Form ◽  
Indian Market ◽  
Price Series ◽  
Stock Market Efficiency ◽  
Indian Stock Market ◽  
Weak Form Efficiency

The competence of a financial system is entirely depending upon the stock market efficiency. The gradual growth of equity investor’s participation is inevitable to enrich the overall growth of emerging economies.Hence the necessity is felt to provide an empirical support to the investing community. For the purpose, this study attempts to examine the weak-form efficiency of Indian stock market – National Stock Exchange (NSE). The study has used the daily closing price of the Nifty fifty stocks from 3rdJanuary 2011 to 24thApril 2015. To test the weak form efficiency both parametric and non-parametric tests called Autocorrelation, Augmented Dicky Fuller test, and Runs Test were performed.  The study reveals that 39 stocks of NSE-Nifty Fifty are found to be weak form inefficient, so that the investors can formulate trading strategies to gain abnormal returns. The Index and 10 stocks are found to be weak form efficient during the study period since the price series found to be autocorrelation existence.

scholarly journals Impact of Smoking Ban Fatwa on Indonesian Tobacco’s Company

2013 ◽  
Vol 2 (2) ◽  
pp. 76-86
Author(s):  
Gatot Soepriyanto ◽  
Paulina Santoso
Keyword(s):  
Event Study ◽  
Abnormal Returns ◽  
Tobacco Consumption ◽  
Share Price ◽  
Market Model ◽  
Smoking Ban ◽  
Muslim Population ◽  
Stock Market Return ◽  
Study Methodology ◽  
Event Study Methodology

The objective of this study is to assess the share price reactions to smoking ban fatwa on Indonesia tobacco’s company. We expect that the smoking ban fatwa in the world’s largest Muslim population will hit the tobaccos industry revenues, lower tobacco’s company profit and eventually affect the share price of those firms. We use event study methodology and standard market model to calculate abnormal returns of the tobacco’s firms related to the news of smoking ban fatwa. Our study failed to find a statistically significant effect of smoking ban fatwa on tobacco’s firm stock market return. It suggests that the investors do not see the fatwa as a factor that may control the tobacco consumption in Indonesia – thus it may not affect the tobacco’s firm revenues and profit in the future

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