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

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.

2018 ◽  
Vol 7 (2) ◽  
pp. 39
Author(s):  
Lidya Agustina ◽  
Yuliana Gunawan ◽  
Windawaty Chandra

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.


2021 ◽  
Vol 39 (11) ◽  
Author(s):  
Hussein Hasan ◽  
Hudaa Nadhim Khalbas ◽  
Farqad Mohammed Bakr AL Saadi

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.


2020 ◽  
Vol 4 (1) ◽  
pp. 84
Author(s):  
Agus Amanda Tanoyo

This study aims to determine the difference in the trading volume activity, stock prices and abnormal returns before and after the announcement of a stock split. The population of this study are all companies listed in Indonesia Stock Exchange that take corporate action in the form of stock split at period 2017-2018. Sampling using purposive sampling. Based on the sampling criteria predetermined number of samples acquired 24 stocks. The analytical method used is the analysis Wilcoxon Signed Rank Test with the observation period (event window) is 14 days. The results showed that there were differences in the trading volume activity and stock prices before and after the announcement of stock split, while the last hypothesis showed that there were no differences in abnormal returns before and after the announcement of stock split.


2019 ◽  
Vol 58 (1) ◽  
pp. 83-104 ◽  
Author(s):  
Abdul Rashid ◽  
Saba Kausar

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


Author(s):  
Bi-Huei Tsai

Purpose of study: This study investigates the change of stock returns during the Lehman Brother’s announcement of bankruptcy in 2008 for the Taiwanese listed video game companies. We further explore the change of stock returns for the Taiwanese listed video game companies after Taiwan’s economy recovers from Lehman Brother’s bankruptcy. Methodology: This study utilizes the event study method to statistically test abnormal returns so as to understand whether the Lehman Brother’s bankruptcy-related event affects stock prices and whether securities prices reflect Lehman Brother’s bankruptcy-related information. Main Findings: The results show a significant negative abnormal rate during Lehman Brother’s declaration of bankruptcy on Sep. 15, 2008. Investors were affected by the financial crisis caused by Lehman Brother’s bankruptcy and fully reflected on the stock prices of that day. In addition, our results show that video game companies have significantly positive returns when most Taiwanese electronics firms stop no-pay leave on March 31, 2009. It represents investors were encouraged by this information and fully reflected on the stock prices. Implications: The results support the efficient market hypothesis. The pattern of CARs experiences a constant increase and displays the apparent price rise during the announcement of no-pay leave stop. The positive abnormal returns are accompanied by the economic recovery. Originality/Novelty: This investigation for the first time chooses the stop of no-pay leave as the indicator of economic recovery from financial crisis. Our analysis novel explores the impact of the financial crisis and the economic recovery on the game industry simultaneously and the results show significantly different market reactions between the occurrence of the financial crisis and economic recovery.


2021 ◽  
Vol 8 (1) ◽  
pp. 122-138
Author(s):  
Bila Niawaradila ◽  
Gendro Wiyono ◽  
Alfiatul Maulida

This study aims to determine the impact of Trading Frequency, Trading Volume, and Market Capitalization on the stock returns of Manufacturing Companies listed on the Indonesia Stock Exchange (BEI) for the 2016-2019 Period. The nature of this research is quantitative explanatory. The population is manufacturing companies listed on the Indonesia Stock Exchange from 2016 to 2019. The research sample of 18 manufacturing companies that are still listed on the Indonesia Stock Exchange with the sampling technique is purposive sampling. Data is taken in the form of secondary data obtained through annual reports and financial reports for 2016-2019. The analytical method used consists of multiple regression analysis, classical assumptions, hypothesis testing (t test) and the coefficient of determination test. From the research results it is concluded that based on the regression analysis, the following equation is obtained: Y = -0.060 + 0.044FRE + 0.011VOL + 0.033KAP + e. Based on hypothesis testing, the t test (partial testing) of the variable Trading Frequency has a significant negative effect on Stock Returns, Trading Volume has a significant positive effect on Stock Returns and Market Capitalization has a significant positive effect on Stock Returns. The R Square value of 0.068 indicates that the Trading Frequency, Trading Volume, and Market Capitalization have an effect of 6.8% while the remaining 93.2% is influenced by other variables outside the regression model.


2021 ◽  
Vol 31 (3) ◽  
pp. 756
Author(s):  
Gusti Ayu Ratrini ◽  
I Wayan Suartana

The January Effect is one of the seasonal anomalies, which reveals that stock returns in January tend to be higher than in months other than January. This study aimed to examine and analyze the existence of the January effect using abnormal return and trading volume activity (TVA) variables. The presence of the January Effect was researched on companies listed on the Indonesia Stock Exchange (IDX) and continues to be included in the Investor33 Index during 2017-2019. The samples studied were 25 companies. It was selected using purposive sampling method. The results of the normality test showed that the data was not normally distributed. Thus, only the non-parametric test, namely the Wilcoxon Signed Rank Test, can be used as a data analysis technique. Based on the analysis conducted, it was found that there was a significant difference in abnormal returns and no significant difference in TVA in January and other than January. Therefore, it can be concluded that statistically, the January Effect occurred in Indonesia during the test period indicated by abnormal returns. Keywords: January Effect; Abnormal Return; TVA.


2020 ◽  
Vol 14 (2) ◽  
Author(s):  
Tirsa Rante ◽  
Syaikhul Falah ◽  
Bill J.C Pangayow

This study aims to analyze whether there are significant differences in abnormal returns before and after the announcement of economic policy XVI and trading volume activity before and after the announcement of XVI economic policy on November 16, 2018. This study uses event study, where observations of the average abnormal return are carried out. and the average trading volume activityduring the 11 day observation period. In this study data was obtained from the Indonesia Stock Exchange. The data used in this study include daily closing stock prices (closing price), daily stock trading volume, and the number of shares outstanding. The sample used amounted to 45 LQ45 index companies. The results of this study indicate (1) there is no significant difference in abnormal returns before and after the announcement of economic policy XVI (2) on the trading volume activity indicator there are significant differences before and after the announcement of XVI economic policy.


Author(s):  
Chen-Chang Lo ◽  
Yaling Lin ◽  
Jiann-Lin Kuo ◽  
Yi Ting Wen

The Taiwan Stock Exchange discloses data on daily trading volume across brokerage firms for each listed stock. Market practitioners suggest that the concentration of trading volume contains information on the trading behaviors of big players. We use the Gini Coefficient to measure the degree of concentration, upon which a trading strategy is proposed. We conduct an event study to examine whether such a strategy will yield abnormal returns. Our sample contains 375 listed companies with events identified during the sample period from February 2020 to August 2020. The empirical results show that the trading signal based on the Gini coefficient is informative and that most of the average abnormal returns after the event date are significantly positive with the cumulative average abnormal returns increasing almost monotonically up to the end day of the event window. Consistent with prior studies in which different measures of concentration are utilized, our findings provide additional evidence that the Gini Coefficient could help investors to develop profitable stock selection and market timing strategies.


2019 ◽  
Vol 3 (2) ◽  
pp. 245
Author(s):  
Yehofa Wajin

Go public companies in order to increase funds, companies can conduct corporate actions, namely rights issues. Right issue is a new share offering from the company for old investors with a system offering it to an old investor first. The information about the rights issue was published as an announcement that could be used to see market reactions. This market reaction is measured by abnormal returns to see stock returns and trading volume activity to see stock liquidity.This research intend to see abnormal stock returns and stock liquidity before and after the announcement of the rights issue with a sample of infrastructure sector companies in the Indonesia Stock Exchange for the period 2015-2018 with purposive sampling technique of sample selection, according to predetermined criteria then obtained 6 companies.This research is a descriptive study using quantitative methods. The test used in this study is the normality test then using a paired sample t-test. The results of this study show no significant difference from abnormal returns and stock liquidity before and after the announcement of the rights issue.


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