Studying the Effect of Changing the Managing Director on the Abnormal Returns of Shares of Companies Listed on the Iraqi Stock Exchange

2021 ◽  
Vol 39 (11) ◽  
Author(s):  
Hussein Hasan ◽  
Hudaa Nadhim Khalbas ◽  
Farqad Mohammed Bakr AL Saadi
Keyword(s):  
Stock Returns ◽  
Significant Relationship ◽  
Stock Prices ◽  
Market Reaction ◽  
Stock Exchange ◽  
Hypothesis Test ◽  
Abnormal Returns ◽  
The Other ◽  
Other Hand ◽  
Abnormal Stock Returns

The aim of this research is to study the market reaction to the change of the managing director and how this change affects the abnormal returns of the shares. The research is based on the information published by the companies listed on the Iraq Stock Exchange, and 35 companies were selected for the period from 2015 to 2019. The results of the hypothesis test for this study show that there is a negative and significant relationship between the change of the managing director and abnormal stock returns. On the other hand, investors undervalue stock prices when changing CEOs. As a result, the stock returns are less than expected.

scholarly journals The Impact of Tax Amnesty Announcement towards Share Performance and Market Reaction in Indonesia

2018 ◽  
Vol 7 (2) ◽  
pp. 39
Author(s):  
Lidya Agustina ◽  
Yuliana Gunawan ◽  
Windawaty Chandra
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Trading Volume ◽  
Stock Return ◽  
Market Reaction ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Test Method ◽  
Tax Amnesty ◽  
The Impact

The Indonesian Government reviewed back the tax amnesty in 2016. Various reactions came up along with the announcement of tax amnesty, the investors did not accept- which led to the announcement of the Tax Forgiveness regulation through the market reactions and stock market performances in Indonesia Stock Exchange. This research is to analyze event study using information based on government-related announcements to show the impact of the new regulation towards stock performance and market reaction. The effect of the announcement will be seen from the changes in stock-prices or stock-returns that provide abnormal returns in the event period as well as market reaction which reflected in trading volume. This research used stock-return data and trading volume from all companies listed in IDX in 2016 and analyzed using the Paired Sample T-Test method. The result of this research shows there are differences among the average of stock-return, average abnormal-return of stock, and stock trading volume before and after the tax amnesty announcement.

scholarly journals CAPITAL STRUCTURE DETERMINANTS OF PLANTATION SUB-SECTOR COMPANIES IN INDONESIA STOCK EXCHANGE PERIOD 2014 – 2018

2020 ◽  
Vol 1 (3) ◽  
pp. 455-468
Author(s):  
Septian Wildan Mujaddid ◽  
Bambang Santoso Marsoem
Keyword(s):  
Capital Structure ◽  
Regression Model ◽  
Significant Relationship ◽  
Stock Exchange ◽  
The Other ◽  
Corporate Liquidity ◽  
Independent Variables ◽  
Other Hand

The purpose of this study is to analyze the factors that influence the Debt to Asset Ratio which is a proxy of Capital Structure as the dependent variable. The independent variables studied as determinants of Capital Structure (DAR) include Size (SIZE), Profitability (ROA), Asset Structure (SA), and Corporate Liquidity (CR) using regression model. The population in this study are plantation sub-sector companies listed on the Indonesia Stock Exchange for the period 2014 - 2018. The findings suggest that ROA negatively significant affect DAR, while SA positively significant affect DAR. On the other hand, both SIZE & CR have no significant relationship with DAR

scholarly journals What Factors Affect Stocks’ Abnormal Return during the COVID-19 Pandemic: Data from the Indonesia Stock Exchange

2021 ◽  
Vol 6 (6) ◽  
pp. 1-11
Author(s):  
Yohanes Indrayono
Keyword(s):  
Financial Crisis ◽  
Stock Returns ◽  
Stock Prices ◽  
Trading Volume ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Early Period ◽  
World Health ◽  
Book Value ◽  
Market Capitalization

This study identifies Indonesian investors’ reactions to the drop in stock prices on the Indonesia Stock Exchange market, during the early months of the COVID-19 crisis, before and after the World Health Organization (WHO) announced that its global spread constitutes a pandemic. It also explores variables that influence stock returns on this market during the financial crisis caused by the COVID-19 pandemic. This study uses a regression analysis of 70 firms, listed on the Indonesia Stock Exchange to examine the pandemic’s influence on trading volume, market capitalization, profitability, and book value for the period December 31, 2019, to April 30, 2020. The results show that stock returns were lower in the early period of the financial crisis caused by the pandemic. Firms’ trading volumes, profitability and book values positively affected stock returns and their market capitalization negatively affected stock returns during the study period. This study contributes useful insights to the finance literature and stock-market participants in terms of dealing with stock markets during financial crises. This study recommends that in any crisis investors should begin buying stocks or increasing their stock purchases to achieve abnormal returns by choosing stocks that perform well in terms of firm profitability and book value by looking a number of financial factors.

scholarly journals Testing the Monthly Calendar Anomaly of Stock Returns in Pakistan: A Stochastic Dominance Approach

2019 ◽  
Vol 58 (1) ◽  
pp. 83-104 ◽  
Author(s):  
Abdul Rashid ◽  
Saba Kausar
Keyword(s):  
High Risk ◽  
Stock Returns ◽  
Stochastic Dominance ◽  
Stock Prices ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Systematic Risk ◽  
January Effect ◽  
Firm Level ◽  
High Beta

In this paper, we first examine the presence of monthly calendar anomaly in Pakistan Stock Exchange (PSX) using aggregate and firm-level monthly stock returns. Secondly, we classify the sample firms into low-beta, medium-beta, and high-beta firms to examine the monthly anomaly of stock returns for firms having different level of systematic risk. By considering the stochastic dominance approach (SDA), we employ the simulation based method of Barrett and Donald (2003) to identify the dominant month over the period from January 2000 to December 2017. We find significant evidence of the existence of the January effect in both firm and market stock returns. We also find that the January effect exists more prominently in both low-risk and high-risk firms categorised based on their systematic risk. On the other end of the continuum, for moderately risky firms, there is strong evidence of the presence of the December effect. One of possible explanations of the January effect is the yearend bonus received in the month of January. Such bonuses are generally used to purchase stocks, causing the bullish trend of stock prices in January. However, the evidence of the January anomaly in both low-beta and high-beta portfolios returns is puzzling, suggesting that investors may invest in both low- and high-risk stocks when enthusiastically investing in stock market. The findings of the paper suggest that investors may get abnormal returns by forecasting stock return patterns and designing their investment strategies by taking into account the January and December effects and the level of systematic risk associated with the firms. JEL Classification: G02, G12, G14 Keywords: Behavioural Finance, Stochastic Dominance Approach, Monthly Anomaly, January Effect, December Effect, TOY Anomaly, Abnormal Returns, KS Type Test, PSX

scholarly journals The Relationship Between of Cash Flows (Financing, Investment and Operating) and Stock Prices, Size of the Firms

2020 ◽  
Vol 11 (5) ◽  
pp. 424
Author(s):  
Tamer Bahjat Sabri ◽  
Khalid Mohammad Hasan Sweis ◽  
Issam Naim Mahammad Ayyash ◽  
Yasmeen Faheem Asaad Qalalwi ◽  
Israa Sami Abbas Abdullah
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Null Hypothesis ◽  
Stock Exchange ◽  
Statistical Significance ◽  
Nonparametric Test ◽  
Cash Flows ◽  
The Other ◽  
Significant Difference ◽  
The Relationship

This study sought to test the relationship between cash flows from operating activities, investment activities and financial activities and on one hand and stock returns and the volume of assets on the companies listed in Palestine Stock Exchange on the other hand. The study incorporated 24 companies in 2018 and the required data were obtained through the financial statements. To test the hypotheses of the study, the Mann-Whitny U Test was used, a nonparametric test. Also the Kolmogorov-Smirnov was done. The findings demonstrated that the value of the Whitny U Test was (-3.291) Z with a statistical significance at 1%. Based on this, the null hypothesis was rejected and the alternative one, stating that there is a statistically significant difference between the operating flows of companies with low assets and those companies with high assets, was accepted. However, the other null hypothesis was accepted. The study recommended that companies and investors should take into consideration cash flows when taking an investment decision in Palestine Stock Exchange.

scholarly journals Reaksi Pasar Terhadap Peristiwa Pemilihan Presiden Indonesia 2019

2019 ◽  
Vol 29 (3) ◽  
pp. 1026
Author(s):  
I Gede Aditya Baskara ◽  
Made Gede Wirakusuma
Keyword(s):  
Event Study ◽  
Presidential Election ◽  
Stock Prices ◽  
Abnormal Return ◽  
Market Reaction ◽  
Stock Exchange ◽  
Statistical Tests ◽  
Abnormal Returns ◽  
T Test ◽  
Significant Difference

This research is an event study that aims to determine the market reaction arising from the 2019 Indonesian presidential election, against companies listed in the infrastructure stock sector on April 17, 2019, using the abnormal return indicator. This study uses secondary data in the form of daily stock prices per company during the period with the population of the infrastructure sector listed on the Indonesia Stock Exchange. The statistical tests used to test hypotheses are descriptive statistical tests, normality tests and one sample t-test. The results of the one sample t-test on abnormal return is that there is no significant difference, which means the market does not respond to the event. These results indicate that the efficient market is not answered in the 2019 Indonesian presidential election due to the absence of abnormal returns in it. Keywords : Event Study, Market Reaction, Abnormal Return, 2019 Indonesian Presidential Election.

The Impact of Crises

2013 ◽  
pp. 1206-1221
Author(s):  
Emre Ergin
Keyword(s):  
Stock Prices ◽  
Stock Exchange ◽  
Debt Crisis ◽  
Abnormal Returns ◽  
The Other ◽  
Political Crisis ◽  
Accounting Fraud ◽  
Istanbul Stock Exchange ◽  
Overreaction Hypothesis ◽  
The Impact

Stock markets are the barometers of an economy. They are very sensitive to the news and can measure economic pressures to forecast economy. They react momentarily to crises that might be triggered by such events as a currency crisis, a debt crisis, a political crisis, or an accounting fraud crisis. According to technical analysts, drastic decreases in stock prices recover from their crash value rapidly since these decreases are realized with low traded values. The overreaction hypothesis affirms that extreme price movements are subsequently adjusted by opposite direction. This chapter analyses these assertions by measuring the impacts of the crises on the Istanbul Stock Exchange (ISE) over the last decade. The duration of the crises and weekly negative abnormal percentage returns in the period of 01.01.2000-31.12.2011 are analyzed using a regression model. In this period, from a total of 621 weeks, 277 weeks have negative returns, 93 of which are identified as negative abnormal returns. The results are statistically significant, and suggest that the duration of the crises is related to the magnitude of negative returns. On the other hand, research shows that the duration of the crisis and traded value are positively correlated. This study offers empirical observations that would be useful for technical analysts and stock investors.

scholarly journals THE IMPACT OF DIVIDEND ANNOUNCEMENT ON STOCK RETURNS AMONG THE TEN TOP COMPANIES IN PAKISTAN

2020 ◽  
Author(s):  
Zubair Tanveer ◽  
Muhammad Zul Azri Muhammad Jamil
Keyword(s):  
Stock Returns ◽  
Insider Trading ◽  
Stock Prices ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Abuse ◽  
Study Methodology ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

The study tested the response of stock prices around the dividend declaration dates in Pakistan stock exchange. It estimated the data of 1110 dividends announced by 91 firms of the highest ten active sectors of Pakistan Stock Exchange. To empirically investigate the relationship between stock returns and dividend announcement, the panel regression was employed by creating dummy variables for 61 days around the dividend declaration dates. Cumulative average abnormal returns and average abnormal returns were also stimated around the events with the help of event study methodology. Outcomes of the empirical analysis revealed strong evidence of market abuse in the term of insider trading and supported the argument of the information content hypothesis and semistrong form of efficient market. Moreover, the study also found a robust impact of the probable ex-dividend date. The study recommended that it is a responsibility of stock exchange regulatory authorities, whistleblowers, registered companies, and the investors collectively to detect and punish this white-collar financial crime.  

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.

The Impact of Crises

2013 ◽  
pp. 209-224
Author(s):  
Emre Ergin
Keyword(s):  
Stock Prices ◽  
Stock Exchange ◽  
Debt Crisis ◽  
Abnormal Returns ◽  
The Other ◽  
Political Crisis ◽  
Accounting Fraud ◽  
Istanbul Stock Exchange ◽  
Overreaction Hypothesis ◽  
The Impact

Stock markets are the barometers of an economy. They are very sensitive to the news and can measure economic pressures to forecast economy. They react momentarily to crises that might be triggered by such events as a currency crisis, a debt crisis, a political crisis, or an accounting fraud crisis. According to technical analysts, drastic decreases in stock prices recover from their crash value rapidly since these decreases are realized with low traded values. The overreaction hypothesis affirms that extreme price movements are subsequently adjusted by opposite direction. This chapter analyses these assertions by measuring the impacts of the crises on the Istanbul Stock Exchange (ISE) over the last decade. The duration of the crises and weekly negative abnormal percentage returns in the period of 01.01.2000-31.12.2011 are analyzed using a regression model. In this period, from a total of 621 weeks, 277 weeks have negative returns, 93 of which are identified as negative abnormal returns. The results are statistically significant, and suggest that the duration of the crises is related to the magnitude of negative returns. On the other hand, research shows that the duration of the crisis and traded value are positively correlated. This study offers empirical observations that would be useful for technical analysts and stock investors.

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