scholarly journals Stock Market Behavior after Large Price Changes and Winner-Loser Effect

2021 ◽  
Vol 7 (2) ◽  
pp. 114-116
Author(s):  
Muhammad Shahid Rasheed ◽  
Syed Zulfiqar Ali Shah ◽  
Muhammad Fayyaz Sheikh
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Fixed Effect Model ◽  
Price Changes ◽  
Specific Effects ◽  
Effect Model ◽  
Time Specific ◽  
Better Than

This study examines the behavior of stock prices following large price changes. It also examines the presence of disposition prone investors and effect of size on stock returns. The study uses daily prices data from Pakistan Stock Exchange (Formerly, Karachi Stock Exchange (KSE)) for the period of January 2001 to July 2012.  Our findings suggest that winners perform better than losers after experiencing large price shocks thus showing a momentum behavior. This also suggests that most of the investors in KSE behave rationally and we do not find any evidence of disposition effect in KSE. Further, pooled regression estimates show that size is positively related to post-event abnormal returns. The fixed effect model shows the presence of unobservable firm-specific and time specific effects that account for price continuation.

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 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 ANALISIS FAKTOR YANG MEMPENGARUHI RETURN SAHAM PADA BANK UMUM YANG TERDAFTAR DI BURSA EFEK INDONESIA

2021 ◽  
Vol 5 (1) ◽  
pp. 42-55
Author(s):  
Mulia Andirfa ◽  
Eka Chyntia ◽  
Iva Septarina ◽  
Maryana
Keyword(s):  
Stock Returns ◽  
Commercial Banks ◽  
Stock Exchange ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Financial Reports ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Positive Effect

This study aims to analyze the effect of ROE, CAR, NPL, BOPO, and DER simultaneously on stock returns in  commercial banks listed on the Indonesia Stock Exchange. The data used in this study are secondary data in the form of financial reports at PT. Bank Rakyat Indonesi Tbk, PT. Bank Negara Indonesia Tbk, PT. Bank Mandiri Tbk, PT. Bank Central Asia Tbk, and PT. Bank Mega Tbk. from 2014-2019. The data analysis method used is panel data regression analysis, namely the Fixed Effect Model (FEM). The results showed that: ROE theoretically and statistically affect stock returns in commercial banks listed on the Indonesia Stock Exchange. CAR is theoretically and statistically insignificant to stock returns in Commercial Banks listed on the Indonesia Stock Exchange. BOPO has a theoretical effect but does not have a statistical and significant effect on stock returns in  commercial banks listed on the Indonesia Stock Exchange. NPL and DER have no effect on stock returns in Commercial Banks listed on the Indonesia Stock Exchange. ROE, CAR, NPL, BOPO and DER simultaneously have a positive effect on stock returns in) Commercial Banks listed on the Indonesia Stock Exchange. ROE, CAR, NPL, BOPO and DER have the ability to explain their effect on stock returns in Commercial Banks listed on the Indonesia Stock Exchange of 44.09%. The remaining 55.01% is influenced by other variables outside this research model.

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 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.  

scholarly journals Good Corporate Governance on Stock Prices of Companies Listed in the KOMPAS 100 Index 2014-2018

2020 ◽  
Vol 13 (3) ◽  
pp. 293-306
Author(s):  
Jiwana Christian ◽  
◽  
Bambang Juanda ◽  
Bayu Bandono ◽  
◽  
...  
Keyword(s):  
Corporate Governance ◽  
Stock Prices ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Fixed Effect Model ◽  
Least Square ◽  
Positive Direction ◽  
Share Prices ◽  
Good Corporate Governance ◽  
Effect Model

This research aimed to analyze the effect of good corporate governance on stock prices. It was conducted on companies listed on the Indonesia Stock Exchange which were included in the KOMPAS100 Index in 2014-2018 by using a purposive sampling technique. Data analysis used was a panel data regression method with a fixed-effect model - least square dummy variable. The results of the study show that the number of board of the commissioner meetings, return on assets, earnings per share, and price to book value had significant effects on stock prices in a positive direction; the number of directors, education/training for corporate secretaries, and price to earnings ratio had positive but insignificant effects; the number of independent commissioners and the number of board of the director meetings had negative but insignificant effects on share prices. The novelty in this study was the addition of the variable of company secretary as an indicator of corporate governance, which was not found in previous studies. Besides, this study added a dummy interaction to see the effect of the level of corporate compliance on corporate governance.

Does EVA Beat ROA and ROE in Explaining the Stock Returns in Indian Scenario? An Evidence Using Mixed Effects Panel Data Regression Model

2019 ◽  
Vol 44 (2) ◽  
pp. 103-134
Author(s):  
Ashita Agrawal ◽  
Pitabas Mohanty ◽  
Navindra Kumar Totala
Keyword(s):  
Panel Data ◽  
Stock Returns ◽  
Stock Exchange ◽  
Economic Value ◽  
Value Added ◽  
Mixed Effect ◽  
Return On Equity ◽  
Effect Model ◽  
Panel Data Regression ◽  
Better Than

We study a panel data of 1,700 Indian firms listed in either National Stock Exchange (NSE) or Bombay Stock Exchange (BSE) for the period 2001 to 2016 to see if economic value added (EVA) explains the annual stock returns of these Indian firms better than return on assets (ROA) and return on equity (ROE). Using mixed effect model, we find that EVA does explain the annual stock returns of these Indian firms better than ROA and ROE.

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.

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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