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' 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

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&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.

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.

scholarly journals Stocks Abnormal Returns and Rate of Dividend Announcements

2021 ◽  
Vol 16 (11) ◽  
pp. 33
Author(s):  
Nagendra Marisetty ◽  
M. Suresh Babu
Keyword(s):  
Stock Markets ◽  
Abnormal Returns ◽  
Market Model ◽  
Cash Dividend ◽  
Market Capitalization ◽  
Emerging Stock Markets ◽  
Dividend Announcements ◽  
Developed Stock Markets ◽  
Indian Stock Market ◽  
The Impact

The present research study examined the impact of different dividend rate announcements on stocks prices in the Indian stock market. Stocks selected from S&amp;P BSE 500 index and study period from 2008 &ndash; 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&#39; 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.

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.

The Effects of Share Repurchase Announcements on Returns in the Malaysia Stock Market

2018 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Tze San Ong ◽  
Pei San Ng
Keyword(s):  
Stock Market ◽  
Abnormal Return ◽  
Small Firms ◽  
Abnormal Returns ◽  
Share Repurchase ◽  
Before And After ◽  
Positive Abnormal Return ◽  
Repurchase Announcements ◽  
Signaling Hypothesis ◽  
Firm Characteristic

This paper examines the market response surrounding the share repurchase announcements of Malaysia Listed Companies from years 2012 to 2016. One sample T-test was carried out to identify the abnormal return in the range before and after 20 days from share repurchase announcements. The result shows a significant positive abnormal return in the day of repurchase announcements and continuously until day 1 after the announcements. Multiple regression analysis was performed in order to identify the firm characteristic of share repurchase. The finding is supported with information asymmetric, which shows that stock market reacts more favorably through the repurchase announcements by small firms than large firms. This study is consistent with the signaling hypothesis that shows share repurchase announcement can be an effective tool in stabilizing the stock market in Malaysia. The finding of this study acts as a useful tool for managers and investors to improve their decisions on share repurchase announcements in Malaysia. Company’s managers can conduct share repurchase announcements that are able to make the stock market react positively in order to generate positive abnormal returns.

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.

Stock Market Seasonality in an Emerging Market

2004 ◽  
Vol 29 (3) ◽  
pp. 35-42 ◽  
Author(s):  
S N Sarma
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Abnormal Returns ◽  
Market Returns ◽  
Reform Era ◽  
Stock Market Returns ◽  
Active Strategy ◽  
Calendar Anomalies ◽  
Indian Stock Market ◽  
Daily Returns

The objective of this paper is to explore the day-of-the-week effect on the Indian stock market returns in the post-reform era. Till the late seventies, empirical studies provided ample evidence as to the informational efficiency of the capital markets advocating futility of information in consistently generating abnormal returns. However, later studies identified certain anomalies in the efficient market postulate. One major anomaly brought forth was the calendar-related abnormal rates of return. Various studies in this domain empirically demonstrated, through parametric and non-parametric tests on the stock returns data, that turn of the year, month, week, and holidays have consistently generated abnormal equity returns in both the developed and emerging markets unrelated to the attendant risks. Studies on the Indian stock markets' calendar anomalies, especially in the post-reform era, are very few. In an attempt to fill this gap, this study explores the Indian stock market's efficiency in the 'weak form' in the context of calendar anomalies, especially in respect of the weekend effect. Daily returns generated by the SENSEX, NATEX, and BSE200 during January 1st 1996 to August 10th 2002 comprising a total of 1,667 observations for each of the indices are considered for testing the seasonality. While most of the studies have considered the returns of one of the major indices based on the closing values, this study examines the multiple indices for possible seasonality. An analysis of returns' pattern of multiple indices is helpful in identifying the presence or otherwise of the stock market seasonality associated with various portfolios and for testing the efficacy of investment game based on the observed patterns of the returns. This study employed the daily mean index value for generating the daily returns to relax the implied assumption of the earlier studies — by considering the closing values of the indices — that trading is done at the closing values. A non-parametric test — Kruskall-Wallis test using 'H' statistic — is employed for testing the seasonality in the Indian stock market returns. The null hypothesis tested is that there are no differences in the mean daily returns across the weekdays. The major findings of the study are as follows: The Indian stock markets do manifest seasonality in their returns' pattern. The Monday-Tuesday, Monday-Friday, and Wednesday-Friday sets have positive deviations for all the indices. The Monday-Friday set for all the indices has the highest positive deviation thereby indicating the presence of opportunity to make consistent abnormal returns through a trading strategy of buying on Mondays and selling on Fridays. The above-mentioned active strategy is found to be beneficial in case of SENSEX The above-mentioned active strategy is found to be beneficial in case of SENSEX alone during the study period while for the others — NATEX and BSE200 — a passive ‘buy and hold’ strategy is more effective. The study concludes that the observed patterns are useful in timing the deals thereby exploring the opportunity of exploiting the observed regularities in the Indian stock market returns.

Explaining Size Effect for Indian Stock Market

2015 ◽  
Vol 23 (1) ◽  
pp. 45-68 ◽  
Author(s):  
Asheesh Pandey ◽  
Sanjay Sehgal
Keyword(s):  
Stock Market ◽  
Size Effect ◽  
Indian Stock Market
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