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>

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.

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 Trading Volume as a Predictor of Market Movement

2019 ◽  
Vol 8 (2) ◽  
pp. 57-69
Author(s):  
Edson Kambeu
Keyword(s):  
Logistic Regression ◽  
Stock Market ◽  
Regression Model ◽  
Trading Volume ◽  
Logistic Regression Model ◽  
Predictive Analytics ◽  
Stock Exchange ◽  
Stock Market Index ◽  
Trading Volumes ◽  
Popular Language

A logistic regression model is has also become a popular model because of its ability to predict, classify and draw relationships between a dichotomous dependent variable and dependent variables. On the other hand, the R programming language has become a popular language for building and implementing predictive analytics models. In this paper, we apply a logistic regression model in the R environment in order to examine whether daily trading volume at the Botswana Stock Exchange influence daily stock market movement. Specifically, we use a logistic regression model to find the relationship between daily stock movement and the trading volumes experienced in the recent five previous trading days. Our results show that only the trading volume for the third previous day influence current stock market index movement. Overall, trading volumes of the past five days were found not have an impact on today’s stock market movement. The results can be used as a basis for building a predictive model that utilizes trading as a predictor of stock market movement.

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.

Market Reaction To Changes In Dividend Payments Policy In Jordan

2012 ◽  
Vol 28 (6) ◽  
pp. 1193
Author(s):  
Wasim K. Al-Shattarat ◽  
Jamal A. Al-Khasawneh ◽  
Husni K. Al-Shattarat
Keyword(s):  
Market Reaction ◽  
Value Relevance ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Model ◽  
Expected Returns ◽  
Dividend Payments ◽  
Adjusted Model ◽  
Model Market ◽  
Non Parametric

The purpose of this paper is to examine empirically the signalling theory for a sample of firms listed at Amman Stock Exchange (ASE) during the period 2001 to 2006. The sample consists of 215 observations. The Event Study Methodology (ESM) is employed to examine the market reaction to dividend change announcements. The nave model is used to classify the sample under four sub samples; Dividend Increase, Dividend Decrease, Dividend No Change and No Dividend No Change. The market model, mean adjusted model, market adjusted model, market model adjusted with Scholes and Williams and market model adjusted with Fowler and Rorke models are used to generate the expected returns. Also, the t-test, ZD test and Corrados non-parametric test are used to examine the significance of the mean and cumulative abnormal returns. Overall, the results show that the market reacts positively to dividend increase, dividend decrease and dividend no change announcements. In addition, the results indicate that there is no significant market reaction to dividend no change sample with zero distributions. This result indicated that there is little value-relevance to dividend change announcements. The interpretation of the positive market reaction is related to dividend release announcements rather than dividend changes. Therefore, there is some support to the signalling hypothesis to dividend release. Furthermore, applying thin trading models and non-parametric tests leads to the same conclusion.

scholarly journals The Impact Of Index Migrations On Share Prices: Evidence From The Johannesburg Stock Exchange

2013 ◽  
Vol 29 (6) ◽  
pp. 1861 ◽  
Author(s):  
Ryan Kruger ◽  
Francois Toerien
Keyword(s):  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Model ◽  
International Studies ◽  
Share Prices ◽  
Johannesburg Stock Exchange ◽  
Demand Curves ◽  
Study Methodology ◽  
Top 40 ◽  
The Impact

<p>This article examines the quantum and persistence of abnormal returns (positive and negative) for shares that entered or left the JSE Top 40 Index during quarterly index rebalancing between 2002 and 2013. Using an event study methodology based on the market model, we find evidence of anticipatory trading for both deletions and additions, which is, however, significant only for the former. These abnormal returns are reversed over our window period, which supports international studies indicating downward sloping share demand curves. Our findings imply informational inefficiencies that investors could use to trade profitably in anticipation of index additions or deletions.</p>

scholarly journals Quantitative relationship between corruption and development of the Tunisian stock market

2018 ◽  
Vol 7 (2) ◽  
pp. 39-47
Author(s):  
Ibtissem Missaoui ◽  
Mohsen Brahmi ◽  
Jaleleddine BenRajeb
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Quantitative Relationship ◽  
Stock Market Index ◽  
Private Companies ◽  
Stock Market Development ◽  
Market Index ◽  
The Government ◽  
The Impact ◽  
Positive Effect

The aim of this article is to seek especially the impact of corruption on the bond and stock market development. For the methodology/approach, the authors analyze a sample of 20 listed Tunisian firms from the Stock Exchange and Financial market, covering the period from 2006 to 2016 by using pooling cross section techniques. The results find a significant positive effect of the level of corruption on the stock market index and the logarithm of capitalization. This is consistent with the view that corruption accelerates the economic growth by speeding up transactions and allowing private companies to overcome the inefficiencies imposed by the government. Furthermore, the results find a negative association is not significant with the dependent variable of traded value as a percentage of the number of listed companies.

scholarly journals Daily Stock Movements Through the Lens of Event and News: Evidence from the Pakistan Stock Exchange

2021 ◽  
Author(s):  
Shahid Raza ◽  
Baiqing Sun ◽  
Pwint Kay Khine
Keyword(s):  
Stock Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Series Data ◽  
News Daily ◽  
Stock Market Index ◽  
Daily Newspaper ◽  
Monthly Basis ◽  
Market Index ◽  
The Impact

This study will investigate different signals and events/news that determined the stock market's movements. As we know, many factors affect the stock market on a daily, weekly, and monthly basis, e.g., rate of interest, exchange rate, and oil prices, etc. Our research will investigate the impact of daily events/news in the KSE-100 index due to several policies announced and events/news in the country because the daily movements in the stock market can be determined only by different signals and events/news. Time series data is collected daily for particular reasons from "The News" (Daily Newspaper, Sunday edition) from 2010 to 2019. The results of this study show that political and global news affects the stock market index ferociously. For investors, the investment in blue chips is not less than a safe haven. When day-to-day transactions are concerned, there is always a higher panic attack than the herd behaviour in the stock exchange. Investors tend to make prompt responses to negative rather than positive news, which makes them risk averters. Our finding also confirmed that the ARCH/GARCH model is better than the simple OLS method concerning stock market upheaval.

scholarly journals Effects of changes in stock market index composition on stock returns: event study methodology on Zagreb Stock Exchange

2019 ◽  
Vol 5 (1) ◽  
pp. 43-54
Author(s):  
Tihana Škrinjarić
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Event Study ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Stock Market Index ◽  
Market Index ◽  
Study Methodology ◽  
Composition Changes ◽  
Event Study Methodology

AbstractThis paper observes the short-run effects of stock market index composition changes on stock returns on the Zagreb Stock Exchange (ZSE). In that way, event study methodology is employed in order to estimate abnormal returns and compare them amongst three subsets of stocks: those leaving the market index, those entering it, and constantly included stocks. The research included 14 regular and extraordinary revisions of the market index in the period from January 2nd, 2015 until March 21st, 2018. The results have confirmed two research hypotheses: stock exclusions from the market index have a negative effect on stock returns on the ZSE, which is consistent with the price pressure hypothesis; and there exist asymmetric effects of index composition changes on stock returns. This is the first study of this kind on the Croatian stock market, thus more questions need to be answered in future research.

scholarly journals TESTE EMPÍRICO DA EFICIÊNCIA DO MERCADO BRASILEIRO NA OCORRÊNCIA DE EVENTOS FAVORÁVEIS E DESFAVORÁVEIS

2008 ◽  
Vol 12 (4) ◽  
pp. 44
Author(s):  
Glauber de Castro Barbosa ◽  
Otávio Ribeiro de Medeiros
Keyword(s):  
New York ◽  
Stock Market ◽  
Market Efficiency ◽  
Event Study ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Uncertain Information ◽  
Stock Market Index ◽  
Market Index ◽  
Information Hypothesis

The study has the purpose of analyzing the behavior of the Brazilian stock market in order to verify the existence of market efficiency immediately after the occurrence of favorable and unfavorable events (shocks). To achieve this purpose, an event study is performed in which the return on the Brazilian stock market index (Ibovespa) is regressed against the return on the Dow Jones stock market index, which represents the New York Stock Exchange, adopted as a proxy for the world stock market index. Regression residuals appearing as outliers above +2.5% or below –2.5% were adopted to determine positive and negative events, respectively. Cumulative Abnormal Returns were computed and tested for a period of 10 days after the events. The empirical results led to the conclusion that market efficiency is not observed both after positive and negative shocks, but an overreaction behavior is observed instead. Key words: economic shocks. Market efficiency. Overreaction. Uncertain information hypothesis. Underreaction. Event study.

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