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.

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.

Do Indian stock market sentiments impact contemporaneous returns?

2018 ◽  
Vol 7 (3) ◽  
pp. 332-346
Author(s):  
Divya Aggarwal ◽  
Pitabas Mohanty
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Temporal Dynamics ◽  
Stock Exchange ◽  
Principal Component ◽  
Stock Index ◽  
Content Type ◽  
Investor Sentiments ◽  
Indian Stock Market ◽  
The Impact

Purpose The purpose of this paper is to analyse the impact of Indian investor sentiments on contemporaneous stock returns of Bombay Stock Exchange, National Stock Exchange and various sectoral indices in India by developing a sentiment index. Design/methodology/approach The study uses principal component analysis to develop a sentiment index as a proxy for Indian stock market sentiments over a time frame from April 1996 to January 2017. It uses an exploratory approach to identify relevant proxies in building a sentiment index using indirect market measures and macro variables of Indian and US markets. Findings The study finds that there is a significant positive correlation between the sentiment index and stock index returns. Sectors which are more dependent on institutional fund flows show a significant impact of the change in sentiments on their respective sectoral indices. Research limitations/implications The study has used data at a monthly frequency. Analysing higher frequency data can explain short-term temporal dynamics between sentiments and returns better. Further studies can be done to explore whether sentiments can be used to predict stock returns. Practical implications The results imply that one can develop profitable trading strategies by investing in sectors like metals and capital goods, which are more susceptible to generate positive returns when the sentiment index is high. Originality/value The study supplements the existing literature on the impact of investor sentiments on contemporaneous stock returns in the context of a developing market. It identifies relevant proxies of investor sentiments for the Indian stock market.

The impact of qualified audit opinion on stock returns: an empirical study at Amman stock exchange

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rana Bayo Flees ◽  
Sulaiman Mouselli
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Model ◽  
Content Type ◽  
Going Concern ◽  
Study Approach ◽  
Audit Opinions ◽  
The Impact ◽  
First Time

Purpose This paper aims to investigate the impact of qualified audit opinions on the returns of stocks listed at Amman Stock Exchange (ASE) after the introduction of the recent amendments by the International Auditing and Assurance Standard Board (IAASB) on audits reporting and conclusions. It further investigates if results differ between first time qualified and sequenced qualifications, and between plain qualified opinion and qualifications with going concern. Design/methodology/approach Audit opinions’ announcements and stock returns data are collected from companies’ annual reports for the fiscal years 2016 to 2019 while stock returns are computed from stock closing prices published at ASE website. The authors apply the event study approach and use the market model to calculate normal returns. Cumulative abnormal returns (CARs) and average abnormal returns (AARs) are computed for all qualified audit opinions’ announcements. Findings The empirical evidence suggests that investors at ASE do not react to qualified audit opinions announcements. That is, the authors find an insignificant impact of qualified audit opinion announcements on stock returns using both CAR and AAR estimates. The results are robust to first time and sequenced qualifications, and for qualifications with going concern. Results are also robust to the use of risk adjusted market model. Research limitations/implications The insignificant impact of qualified audit opinions on stock returns have two potential conflicting research implications. First, the new amendments introduced to auditors’ report made them more informative and reduce the negative signals contained in the qualified opinions. That is, investors are now aware of the real causes of qualifications and not overreacting to the qualified opinion. Second, the documented insignificant impact confirms that ASE is not a semi-strong form efficient. Practical implications The apparent excessive use of qualifications should ring the bell on whether auditors misuse their power or companies are really in trouble. Hence, the Jordanian regulatory bodies need to warn auditors against the excessive use of qualifications on the one hand, and to raise the awareness of investors on the implications of auditors’ opinions on the other hand. Originality/value This study is innovative in twofold. First, it explores the impact of qualified audit opinions on stock returns after the introduction of new amendments by IAASB at ASE. In addition, it uses event study approach and distinguishes between first time qualified and sequenced qualifications, and between plain qualified opinion and qualifications with going concern. The results are consistent with efficient market theory and behavioral finance explanations.

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.

The announcement and implementation reaction to China's margin trading and short selling pilot programme

2014 ◽  
Vol 10 (3) ◽  
pp. 368-384 ◽  
Author(s):  
Saqib Sharif ◽  
Hamish D. Anderson ◽  
Ben R. Marshall
Keyword(s):  
Stock Returns ◽  
Event Study ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Short Selling ◽  
Market Model ◽  
Short Sales ◽  
Content Type ◽  
Pilot Programme ◽  
The Impact

Purpose – The purpose of this paper is to investigate how the announcement and implementation of short sales and margin trading regulation affects Chinese stock returns and trading volume. On 31 March 2010, the Chinese regulators launched a pilot programme, allowing short sales and margin trading for 50 Shanghai Stock Exchange and 40 Shenzhen Stock Exchange stocks. Design/methodology/approach – This paper uses an event study approach to compare market model abnormal returns (ARs) of the pilot firms with two distinct matched firm samples. A volume event study is also conducted to examine abnormal trading activity surrounding the key events in the pilot stocks. Findings – Negative ARs follow both the announcement and implementation of short selling and margin trading. This suggests the negative impact of short sales dominates the positive impact of margin trading on an average. Volume also declines, which is consistent with uninformed investors’ seeking to avoid trading against informed traders. Originality/value – The paper appears to be the first to address the impact of both the announcement and implementation of short selling and margin trading rule changes on returns and liquidity using individual stock data.

scholarly journals Assessing the Impact of S&P SL20 Index Construction on Listed Companies in Colombo Stock Exchange (CSE)

2016 ◽  
Vol 8 (7) ◽  
pp. 159
Author(s):  
Upeksha Perera ◽  
Rohana Dissanayake ◽  
Mangalika Jayasundara
Keyword(s):  
Stock Market ◽  
Trading Volume ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Model ◽  
Stock Market Index ◽  
Index Construction ◽  
Price Series ◽  
Adjusted Model ◽  
The Impact

<p>A stock market index is designed to measure the performance of value of a set of stocks. The set of stock can be entire market of a particular country or a sector. Indices can be used not only to see how the stock market, for instance, has changed over time, but it allows easy comparison between stocks that represent different sectors or even different stocks. An index construction or rebalancing of existing index is a major market event that investor might know before the event take place. The index inclusion reflects a positive situation about the quality, risks and possible future return of the stock. This study examine whether any price and trading volume effects arise from S&amp;P SL 20 index construction. S&amp;P SL 20 index was launched in 26, June 2012, based on 20 blue chip companies in Sri Lanka. The current study employs the standard event study methodology to identify the abnormal returns associated with the launching of the S&amp;P SL 20 index. Three normal return benchmarks, namely the market-adjusted model, mean-adjusted model and the market model have been used for the purpose of finding abnormal returns. Price series and volumes of stocks in S&amp;P SL 20 list (after and before) were considered and those are retrieved from Colombo stock exchange.</p><p>The study finds that the abnormal returns following the launch of the S&amp;P SL 20 index is statistically insignificant.</p>

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.

Empirical Relationship Between Macroeconomic Variables and Stock Market: Evidence from India

2021 ◽  
pp. 0258042X2110531
Author(s):  
Miklesh Prasad Yadav ◽  
Aastha Khera ◽  
Nandita Mishra
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Empirical Relationship ◽  
Market Price ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Johansen Cointegration ◽  
Short Run ◽  
Indian Stock Market ◽  
The Impact

This study investigates the relationship between the Indian stock market price behaviour and macroeconomic variables. The proxy for the Indian stock market is the BSESENSEX while Foreign Reserve, Exchange Rate (Indian vs. US Dollar) and CPI are proxies for the macroeconomic variables. The Johansen Cointegration Test and the Vector Error Correction Model (VECM) on monthly data collected from websites of Reserve Bank of India and Bombay Stock Exchange within the time period of January 2000 and February 2020 have been applied. We observe a contradiction between the results of trace statistics and the maximal eigenvalue of the Johansen Cointegration. The -trace statistics of cointegration allude to the long-run association between the Indian stock market and its constituent macroeconomic variables. The VECM is then applied to examine the long-run and short-run causalities and the results reveal the same. This study has profound implications for investors to diversify their portfolio, considering the impact of the constituent selected macroeconomic variables in the short run and long run. JEL Codes: B22, J11, R53

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.

Stock Market Reaction on Green-Bond Issue: Evidence from Indian Green-Bond Issuers

2021 ◽  
pp. 097226292110225
Author(s):  
Rakesh Kumar Verma ◽  
Rohit Bansal
Keyword(s):  
Stock Returns ◽  
Financial Institutions ◽  
Stock Price ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Developed Countries ◽  
Low Carbon ◽  
Bond Issue ◽  
The Government ◽  
The Impact

Purpose: A green bond is a financial instrument issued by governments, financial institutions and corporations to fund green projects, such as those involving renewable energy, green buildings, low carbon transport, etc. This study analyses the effect of green-bond issue announcement on the issuer’s stock price movement. It shows the reaction of the stock price after the issue of green bonds. Methodology: This study is based on secondary data. Green-bond issue dates have been collected from newspaper articles from different online sources, such as Business Standard, The Economic Times, Moneycontrol, etc. The closing prices of stocks have been taken from the NSE (National Stock Exchange of India Limited) website. An event window of 21 days has been fixed for the study, including the 10 days before and after the issue date. Data analysis is carried out through the event study method using the R software. Calculation of abnormal returns is done using three models: mean-adjusted returns model, market-adjusted returns model and risk-adjusted returns model. Findings: The results show that the issue of green bonds has a significant positive effect on the stock price. Returns increase after the green-bond issue announcement. Although the announcement day shows a negative return for all the samples taken for the study, the 10-day cumulative abnormal return (CAR) is positive. Thus, green-bond issues lead to positive sentiments among investors. Research implications: This research article will help the government issue more green bonds so that the proceeds can be utilized for green projects. The government should motivate corporations and financial institutions to issue more green bonds to help the economy grow. In India, very few organizations have issued a green bond. It will be beneficial if these players issue green bonds, as it will increase the firms’ value and boost returns to the investors. Originality/value: The effect of green-bond issue on stock returns has been analysed in some studies in developed countries. This is the first study to examine the impact of green-bond issue on stock returns in the Indian context, to the best of our knowledge.

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