scholarly journals Analysis of the Effect of Stock Split on Abnormal Stock Return and Share Liquidity

2021 ◽  
Vol 1 (7) ◽  
pp. 629-640
Author(s):  
Jerri Priatno ◽  
Freddy Freddy

Strong companies will not be too affected by news issues about stock splits, but several other companies that do stock splits actually experience a decline in demand for their shares. This study aims to analyze the effect of stock splits on abnormal stock returns and stock liquidity. In this study, the authors use quantitative research methods with a descriptive research approach, because there are variables to be examined and the relationship aims to describe the characteristics or behavior of a population in a systematic and accurate way regarding the relationship between the variables to be studied. The population in this study are companies listed on the Indonesia Stock Exchange, namely companies that carried out stock splits in 2019. Based on the results of research, the authors draw the following conclusions: Based on statistical tests on abnormal returns, it was found that market reactions occurred during the day after the stock split, the first day until the fourth day after the stock split. Based on the results of the different tests on Abnormal Returns before and after the stock split, it shows that there is a significant difference between the returns before and after the stock split. Based on the results of the different tests on the average TVA before and after the stock split, it shows that there is a significant difference between TVA before and after the stock split.

2021 ◽  
Vol 11 (1) ◽  
pp. 42
Author(s):  
Pita Rahmawati ◽  
Jawoto Nusantoro ◽  
Gustin Padwa Sari

This research aims to determine whether there are differences in stock prices, stock returns and abnormal returns before and after a stock split in high profile and low profile companies. The research period used in this study was on 2016-2018. The research was analyzed in quantitative method by using a purposive sampling method. Based on the sampling criteria, 40 companies were selected as research samples. Kolmogorov Smirnov One Sample test was used for the normality test. After the normality test was carried out, the data was processed using the two paired-sample difference test. The t-test (paired sample t-test) was used if data were normally distributed but if it was not normally distributed the Wilcoxon Signed Rank test would be used. Hypothesis testing results showed that (1) there are differences in stock prices whether before and after a stock split in high profile companies (2) there are differences in stock prices whether before and after the stock split in low profile companies (3) there are differences in stock returns whether before and after a stock split in the company high profile (4) there is no difference in stock returns whether before and after the stock split in low profile companies (5) there is no difference in abnormal returns whether before and after the stock split in high profile companies (6) there is no difference in abnormal returns whether before and after the stock split in low profile companies (7) there are differences in stock prices after a stock split in high profile companies and low profile (8) there is no difference in stock returns whether before and after the stock split in high profile and low profile companies (9) there is no difference in abnormal stock returns whether before and after a stock split at high profile and low profile companies.


2016 ◽  
Vol 13 (4) ◽  
pp. 95-105 ◽  
Author(s):  
Manuela Raisová ◽  
Martin Užik ◽  
Christian M. Hoffmeister

The economic crisis has forced managers of joint stock companies to look for short-term solutions for the sharp changes in stock prices of their companies. Even the companies of the V4 countries are not the exception. The authors have focused on those companies where have been used either reverse stock split or stock split. They analyzed the effects of the reverse stock split or stock splits on the abnormal returns of stocks. In this paper, the authors analyzed a dataset from 1993 until 2015 with 124 reverse stock splits and 184 stock splits in total focused on the stock market in V4. Based on their own research they conclude that when reverse stock splits were used stock returns significantly decreased one day around the announcement date. They conclude that managers of a company might use this instrument to move the stock price back to the optimal trading range outside of the penny stock area. In the case of stock splits, the authors concluded that the use of this tool results in a significant increase in the returns of a stock after the announcement date. However, the results are in contrast to some former studies which found no positive effect on the returns caused by stock splits. The authors conclude that managers of a company might use this instrument to transport information content of future (positive) performance of a company to the traders. Keywords: Vysegrad group countries, normal stock split, reverse stock split, abnormal returns. JEL Classification: G11, G23, G32


2018 ◽  
Vol 10 (2) ◽  
Author(s):  
Kevin Immanuel ◽  
Oktafalia Marisa Muzamil

<p><em>The stock split policy is taken by the company to keep stock prices not too high so that its stock can reach many investors and increase stock liquidity. This study also aims to measure whether there is a difference before and after the company does a stock split through bid ask spread.</em></p><p><em>This research method uses event study about market reaction to information from stock split announcement.This type of research includes descriptive research using quantitative data, while data collection techniques consist of library techniques and documentation techniques. </em></p><p><em>The results showed that the test for normality only trading volume activity (TVA) that qualify and can do paired samples t-test, while the stock price, the variant return and bid ask spread is done by using Wilcoxon test because it does not pass the test of normality. In the paired sample t-test, the results show that there is significant trading activity volume difference before and after stock split. In the Wilcoxon test, the results show that there is no significant price difference before and after stock split, there is no significant difference of return variance before and after stock split, and there is no significant bid ask spread before And after stock splits.</em></p><p><em>The conclusions can be drawn based on the results of the study that the market conditions are in the bearish market and investors do not provide a quick feedback to the stock split. However, stock splits have increased liquidity from firms due to stock splits to n per sheets and reduced asymmetry costs to be borne by investors. Suggestions from researchers to investors are investors can take advantage of stock split events and must be observant in seeing the stock of a particular company that has prospects, good performance and good reputation in the community. For the company, the company should be wise in determining the ratio for stock prices to be optimal and consider whether the stock market is bearish / bullish market when doing stock split policy.</em></p><strong><em>Keywords</em></strong><em>: stock prices, return, trading volume activity, bid ask spread, and stock split</em>


2017 ◽  
Vol 8 (1) ◽  
pp. 20
Author(s):  
Umi Mardiyati ◽  
Rachmattullah Rachmattullah ◽  
Gatot Nazir Ahmad

This study aimed to analyze the differences of abnormal return, liquidity and risk stock before and after the stock split on companies listed in Indonesia Stock Exchange 2010 - 2014. The sample are 29 companies selected by purposive sampling. Period of observations used in this study is 5 days before the stock split and 5 days after the stock split. The analysis technique used is the Kolmogorov-Smirnov test for normality test, paired sample t-test for normally distributed data and Wilcoxon signed rank test if distribution data is not normal. Results from the study showed that there is no significant difference in abnormal returns between before and after stock split period, there are differences in liquidity between the before and after stock split period and there is no difference in stock risk between before and after the stock split period.   Keywords : Stock Split, Abnormal Return, Liquidity, Stock Risk


2020 ◽  
Vol 17 (3) ◽  
pp. 345-359
Author(s):  
Anjali Gupta ◽  
Purushottam Kumar Arya

Stock split should not have any impact on share prices, and there should be no value creation. The purpose of this study is to find any impact of stock splits announced in India between 1999 and 2019 on stock returns. The study aims to find differences in the impact of stock splits on stock returns with differences in stock split ratios. To examine the impact, the study includes 224 splits and adopts the standard event study methodology to find results. The presence of an abnormal return around split announcement day is the main factor, which determines the impact of stock split on the stocks. Average Abnormal Returns and Cumulative Average Abnormal Returns on percentage basis, z-test and p-value are used to statistically analyze the impact on stock prices around the announcement day of splits. These tests are used across different window periods (e.g., 20 days, 10 days and 5 days) around the event day (announcement day) to check if the impact of the event continues or decreases over time. The results point to a significant positive impact of stock splits on the returns of stock around the day the split was announced. The results also show that the impact is stronger for stock splits with ratios 10:1 (2.72 percent) and 10:2 (2.14 percent). It can be suggested that 10:1 and 10:2 are the most popular split ratios that receive maximum ongoing response to splits in the announcement window.


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.


Author(s):  
Rimada Diamanta Putri Diamanta Putri ◽  
Pardomuan Sihombing

This research is motivated by companies that carry out corporate actions in the form of stock splits. The corporate action aims to increase the liquidity of the outstanding shares and to give a positive signal to the company's performance in the future. To find out whether this signal is true or not, it is necessary to test market efficiency which proves that the stock split has an effect on changes in stock trading volume, abnormal returns and the bid ask spread. This type of research is the event study research with a quantitative approach. A sample of 66 companies using purposive sampling technique. The company under study is a company that carried out a stock split and is listed on the Indonesia Stock Exchange for the period 2015 - 2019. The type of data used in this study is secondary data in the form of daily data on sales of shares, number of shares outstanding, stock price (close price), price index. joint stock, stock offer and bid during the period 2015 - 2019. The results of the research through the Wilcoxon Signed Ranks Test with the results (1) There is no significant difference between stock trading volume before and after the stock split; (2) There is a significant difference between abnormal returns before and after the stock split; (3) There is no significant difference between the bid ask spread before and after the stock split.


2021 ◽  
pp. 1-14
Author(s):  
JYOTI PANDEY ◽  
VINAY KANDPAL ◽  
NEERAJ NAUTIYAL

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.


2019 ◽  
Vol 10 (1) ◽  
pp. 59
Author(s):  
Sari Octavera ◽  
Febri Rahadi

Abstrak Penelitian ini bertujuan untuk melihat efek dari peristiwa ekstrim serangan terorisme yaitu Bom Surabaya pada 13 Mei 2018. Analisis terhadap Abnormal Return dilakukan untuk memperbandingan reaksi yang terjadi pra dan paska peristiwa tersebut. Hasil uji statistik beda dua rata-rata menunjukkan bahwa terdapat sentimen positif paska kejadian. Hal ini mengiplikasikan bahwasanya investor tidak merasa bahwa serangan terorisme merupakan gangguan yang besar terhadap investasi mereka. Perbandingan antara hari-hari pra dan paska serangan bom menunjukkan bahwa AAR hari kedua pra kejadian memiliki perbedaan yang signifikan dengan AAR hari ke 4 paska kejadian menunjukkan bahwa peristiwa pengeboman tidak termasuk sebagai bad news bagi pelaku pasar modal. Reaksi investor terhadap peristiwa serangan bom dilakukan dengan melihat nilai Cumulative average abnormal return (CAAR) dari data paska terjadinya serangan bom dan menunjukkan bahwa return saham perusahaan manufaktur cenderung stabil, dengan peningkatan dan penurunan yang tidak signifikan pada t+1 hingga t+5, yang menandakan bahwasanya tidak terbukti terjadi overreaction paska kejadian. Kata kunci:  Sentimen investor; fundamental perusahaan; over reaksi.   Abstract This study aims to see the effects of the extreme events of terrorism attacks namely the Surabaya Bomb on May 13, 2018. Analysis of Abnormal Return is carried out to compare the reactions that occur before and after the event. The results of two different statistical tests on average indicate that there is positive post-event sentiment. This implies that investors do not feel that terrorist attacks are a significant disruption to their investment. Comparison between the pre and post-bomb days shows that the AAR of the second day of the pre-event had a significant difference with the AAR on the 4th day after the incident indicating that the bombing event not included as bad news for capital market players. The investor's reaction to the bomb attack was carried out by looking at the value of Cumulative average abnormal return (CAAR) from post-bomb attack data and showing that manufacturing stock returns tend to be stable, with insignificant increases and decreases at t + 1 to t+5, which indicates that there is no evidence of post-event overreaction. Keywords: Investor Sentiment; firm’s fundamental; overreaction


2020 ◽  
Vol 8 (2) ◽  
pp. 135-145
Author(s):  
Achmad Yusup Sulaiman ◽  
Hidayat Darwis

This study was conducted to determine the significance of changes in stock liquidity and abnormal stock returns before and after the stock split. The sample technique used in this study was purposive sampling and the criteria used included the issuer not taking other corporate actions at the same time as the stock split. The samples used in this study were 28 companies. The results of this study indicate that stock split events have a significant effect on the level of stock liquidity. Whereas for abnormal stock returns, stock splits do not affect the overall meaning, stock splits do not affect the level of abnormal stock returns


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