scholarly journals Stock Market Reaction to COVID-19: Evidence in Customer Goods Sector with the Implication for Open Innovation

2020 ◽  
Vol 6 (4) ◽  
pp. 99
Author(s):  
Zaky Machmuddah ◽  
St. Dwiarso Utomo ◽  
Entot Suhartono ◽  
Shujahat Ali ◽  
Wajahat Ali Ghulam
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Practical Implication ◽  
Efficient Market Hypothesis ◽  
Future Research ◽  
Observation Data ◽  
Economic Sectors ◽  
Significant Difference ◽  
Before And After ◽  
Long Term Impact

The coronavirus pandemic has spread all over the world, affecting both the health and economic sectors. The aim of this research was to observe stock prices of customer goods before and after the COVID-19 pandemic using event study and the comparison test. The sample included data of daily closing stock prices and volume of stock trade during the three months before (−90 days) and after (+90 days) the occurrence of the COVID-19 pandemic ongoing, totaling 2670 observation data both before and after the COVID-19 pandemic, for a total of 5340. The research findings indicate a significant difference between the daily closing stock price and volume of stock trade before and after the COVID-19 pandemic. The current research has both theoretical and practical implications: the findings strengthen the efficient market hypothesis, which states that the more complete the provided information, the more efficient the market. The practical implication is that investors should be careful when choosing to invest. Investors should choose customer goods sector companies that provide products that are much needed by customers, for example, pharmacy, food, beverages, etc. Future research is needed to investigate the long-term impact of the pandemic on the economy.

Perbandingan harga saham, volume transaksi dan return saham sebelum dan sesudah terjadi pandemi covid-19 pada PT Agung Podomoro Land, Tbk

2021 ◽  
Vol 5 (4) ◽  
pp. 720
Author(s):  
Anggun Putri Romadhina ◽  
Eka Kusuma Dewi
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Research Data ◽  
Paired Sample ◽  
First Case ◽  
Significant Difference ◽  
Before And After ◽  
Stock Transaction

The first Covid-19 case in Indonesia was announced on March 2, 2020. This study aims to determine whether there is a significant difference in stock prices, stock transaction volume and stock returns due to the COVID-19 pandemic (case study at PT. Agung Podomoro Land, Tbk). This research data was taken 90 days before and 90 days after the announcement of the first case of COVID-19 in Indonesia. The data was processed by paired sample t-test, using SPSS version 20. From the results of data processing, it was shown that there was a significant difference in stock prices before and after the announcement of the first case of covid-19 in Indonesia. This is indicated by a significance value of 0.000 < 0.05 where the stock price has decreased compared to before the Covid-19 case. Meanwhile, the volume of stock transactions also showed a significant difference with a significance value of 0.007 <0.05, where the volume of stock transactions after the announcement showed a decrease. Likewise, stock returns show a significant difference with a significance value of 0.025 < 0.05 where stock returns have decreased after the announcement of the first case of covid-10 in Indonesia.  

scholarly journals Harga Saham Sebelum dan Sesudah Stock Split

2020 ◽  
Vol 3 (2) ◽  
pp. 390-395
Author(s):  
Junita Putri Rajana Harahap ◽  
Murni Dahlena Nasution
Keyword(s):  
Event Study ◽  
Capital Market ◽  
Stock Prices ◽  
Stock Price ◽  
Research Method ◽  
Price Difference ◽  
Significant Difference ◽  
Stock Split ◽  
Before And After ◽  
A Company

The stock split causes the stock price to be cheaper so that it will attract potential investors to buy the stock. This research was conducted to determine when it is time for a company to do a stock split, information available on the capital market can be used by investors for consideration before investors make a decision to invest in shares. The study aims to determine the changes that occur in stock prices before and after the stock split policy by the company. The research method used in this research is event study research with a quantitative approach. This study examines how significant the stock price difference is after a stock split policy. The sample used in this study were all companies that carried out the 2016-2018 stock split policy. The results of research on companies that become samples have shown that the average stock price before the announcement of the stock split policy has no significant difference with the average stock price after the announcement of the stock split policy Keywords : Stock Price, Stock Split

scholarly journals Stock price volatility during the COVID-19 pandemic: The GARCH model

2021 ◽  
Vol 18 (4) ◽  
pp. 12-20
Author(s):  
Endri Endri ◽  
Widya Aipama ◽  
A. Razak ◽  
Laynita Sari ◽  
Renil Septiano
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Practical Implication ◽  
Abnormal Returns ◽  
Garch Model ◽  
Price Volatility ◽  
Efficient Market Hypothesis ◽  
Empirical Literature ◽  
Stock Price Volatility ◽  
The Garch Model

This study examined the response of stock prices on the Indonesia Stock Exchange (IDX) to COVID-19 using an event study approach and the GARCH model. The research sample is the closing price of the Composite Stock Price Index (JCI) and companies that are members of LQ-45 in the 40-day period before the COVID-19 incident, 1 day during the COVID-19 incident (March 2, 2020) and 10 days after, January 6, 2020 – March 16, 2020. Empirical findings prove that abnormal returns react negatively to COVID-19, JCI volatility fluctuates widely during the COVID-19 event, and the GARCH(1,2) model can be used to assess volatility and predict stock abnormal returns in IDX in market conditions infected with COVID-19. The practical implication of the study’s findings for investors is that the COVID-19 event caused stock price volatility, which affects abnormal returns. Therefore, to face the conditions of uncertainty and increased volatility in the future, several lines of risk management are needed in managing a stock portfolio. In addition, it also opens up opportunities for speculators to profit in an inefficient market environment. This study is based on the empirical literature currently being developed to investigate the phenomenon of stock price volatility behavior during COVID-19 on the IDX. The GARCH model used proves that during the COVID-19 pandemic, stock price volatility increases and leads to a decrease in abnormal returns. The empirical findings also validate the efficient market hypothesis theory related to the study of events and the theory of financial behavior related to uncertainty.

An Empirical Study on Efficient Market Hypothesis with reference to FMCG Sector

GIS Business ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 109-126
Author(s):  
Nitin Tanted ◽  
Prashant Mistry
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Abnormal Returns ◽  
Weak Form ◽  
Efficient Market Hypothesis ◽  
Controversial Issues ◽  
Efficient Market ◽  
Price Movements ◽  
Run Test ◽  
Stock Price Movements

One of the highly controversial issues in the area of finance is “Efficient Market Hypothesis”. Efficient Market Hypothesis states that, “In an efficient market, all available price information is reflected in the stock prices and it is not possible to generate abnormal returns compared to other investors.” A lot of studies conducted previouslyto test the Efficient Market Hypothesis, confirmed the theory until recent years, when some academicians found it to be non-applicable in financial markets. According to them, it is possible to forecast the stock price movements using Technical Analysis. The results of various studies have been inconclusive and indefinite about the issue. This study attempted to test the efficiency of FMCG Sector stocks in India in its weak form. For the study, closing prices of top 10 stocks from Nifty FMCG index has been taken for the 5-year period ranging from 1st October 2014 to 30th September 2019. Wald-Wolfowitz Run test has been used to test the haphazard movements in the stock price movements. The results indicated that FMCG sector stocks does support the Efficient Market Hypothesis and exhibit efficiency in its weak form. Hence, it is not possible to accurately predict the price movements of these stocks.

scholarly journals ANALISIS PERGERAKAN SAHAM PERUSAHAAN SUB SEKTOR FARMASI MENGGUNAKAN INDIKATOR BOLLINGER BAND DI TENGAH PANDEMI COVID-19

2020 ◽  
Vol 3 (2) ◽  
pp. 77-88
Author(s):  
Intan Elita ◽  
K. Bagus Wardianto ◽  
M. Iqbal Harori
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Sampling Method ◽  
Sample Selection ◽  
T Test ◽  
Analysis Tool ◽  
Selection Technique ◽  
Purposive Sampling ◽  
Analysis Technique ◽  
Significant Difference

This study aims to measure the accuracy of technical analysis using the Bollinger Band indicator in predicting stock prices in the middle of pandemic covid-19. The concept in this study is to compare daily stock price predictions according to technical indicators with the closing prices that occured on that day. Sample selection technique used in this research used a purposive sampling method and obtained 9 pharmaceutical sub-sector companies listed on the IDX from February to April 2020. The type of data used is a chart of the company's daily stock price movements obtained from finance.yahoo.com. The data analysis technique used was the paired sample t-test and used the SPSS 26 analysis tool. The results of this study indicate that the Bollinger indicator does not have a significant difference. ABSTRAK Penelitian ini bertujuan untuk mengukur keakuratan analisis teknikal dengan indikator Bollinger Band dalam memprediksi harga saham pada masa pandemi Covid-19. Konsep pada penelitian ini adalah membandingkan prediksi harga saham harian menurut indikator teknikal dengan harga penutupan yang terjadi pada hari tersebut. Teknik pengambilan sampel dalam penelitian ini menggunakan metode purposive sampling dan diperoleh sebanyak 9 perusahaan sub sektor farmasi yang terdaftar di BEI selama Februari hingga April 2020. Jenis data yang digunakan yaitu berupa grafik pergerakan harga saham harian perusahaan yang diperoleh dari finance.yahoo.com. Teknik analisis data yang digunakan adalah uji independent sample t-test dan menggunakan alat analisis program SPSS 26. Hasil penelitian ini menunjukkan bahwa indikator Bollinger tidak memiliki perbedaan yang signifikan.

scholarly journals The Announcement of Sharia Bank’s Conditional Merger Agreement. How Investor Reacted?

2021 ◽  
Vol 2 (2) ◽  
pp. 136-146
Author(s):  
Syamsuddin Syamsuddin ◽  
Versiandika Yudha Pratama
Keyword(s):  
Event Study ◽  
Stock Price ◽  
Abnormal Return ◽  
Secondary Data ◽  
T Test ◽  
Event Window ◽  
Paired Sample ◽  
Average Abnormal Return ◽  
Significant Difference ◽  
Before And After

This study aims to determine there is a difference in average abnormal return of BRI Syariah before and after the signing of the Conditional Merger Agreement (CMA), which is on October 12th, 2020. This research used event study for method and the data in this study are secondary data in the form of stock price data of BRI Syariah. The event window in this study for 11 (eleven) working days which is 5 (five) days before the event, 1 (one) day when the event occurs and 5 (five) days after the signing of the Conditional Merger Agreement (CMA) BUMN sharia bank. Meanwhile, the estimated period is set for 120 exchange days, namely at t-125 to t-6. Test conducted by paired sample t-test. The results of the paired sample t-test showed that there is no significant difference between the average abnormal return of BRI Syariah shares before and after the signing of the Conditional Merger Agreement. It can be concluded that neither the market nor investors reacted to the signing of the Conditional Merger Agreement (CMA) that occurred at BRI Syariah Bank.

Analisis Pengaruh Tingkat Harga Saham, Return Saham, dan Volume Perdagangan Saham terhadap Stock Split ISSI Periode 2015– 2020

2021 ◽  
Vol 4 (2) ◽  
pp. 234-245
Author(s):  
Farhan Maulana ◽  
Ahmad Mulyadi Kosim ◽  
Abrista Devi
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Stock Return ◽  
Positive Impact ◽  
Secondary Data ◽  
Normality Test ◽  
Stock Split ◽  
Before And After ◽  
Sample Test

For companies that collect funds from the public through capital from capital market, it can be used to meet capital needs and finance the company’s operation. So that company is expected not to rely on commercial debt financing both from within the country and abroad. With stock split, it is hoped that it will increase investors’ interest in buying affordable shares. This study aims to determine whether the stock split has an effect on stock prices, trading volume, and stock return. The method used by the researcher uses quantitative secondary data methods by using descriptive statistical data test, then use the kolgomorov smirnov normality test, and using theaverage paired sample test. The results of this research is that: 1) stock price have a significant effect after the stock split occurs, 2) while the trading volume has no significant effect after the stock split occours, 3)  then stock return has a siginificant impact before and after the stock split because it is expected to have a positive impact for issuers and investors.

scholarly journals The Effect of Music Therapy on Self-Reported Affect in Hospitalised Paediatric Patients

2021 ◽  
Author(s):  
◽  
Ruth Elizabeth Armstrong
Keyword(s):  
Music Therapy ◽  
Hospital Environment ◽  
Future Research ◽  
Psychosocial Needs ◽  
Clinical Notes ◽  
Significant Difference ◽  
Before And After ◽  
The Impact ◽  
Therapy Sessions

<p>The present research examines the effect of music therapy on the affect of hospitalised children. It took place on a paediatric ward of a New Zealand public hospital. This study aimed to investigate the role of music therapy in addressing patients' psychosocial needs. Literature on the impact of hospitalisation, and on the use of music therapy in hospitals and paediatrics was reviewed. The research involved an audit of the therapist's clinical notes from music therapy sessions over the course of seven months. The clinical notes included measurements of children's mood from the beginning and end of sessions, using McGrath's (1990) Affective Facial Scale. It was hypothesised that mood measures following music therapy would be higher than pre-music therapy scores. Statistical analysis of the facial scale data did not show a significant difference between 'before' and 'after' measures. These results were discussed with regard to a ceiling effect (this is, the measurements indicated patients were at the happy end of the scale before the music therapy session, so there was little room on the scale for mood to improve following music therapy). The measurement of emotion did not prove to be straightforward. The hospital environment may have influenced the patients' responses in a number of ways. These environmental influences are discussed with reference to examples from the clinical notes. The usefulness of facial scales in this context is discussed, as well as other limitations of the research. Suggestions for future research include the use of other mood measures, and the inclusion of measurements of parental mood and how this affects the child.</p>

scholarly journals PERBANDINGAN HARGA SAHAM PERUSAHAAN FARMASI BUMN SEBELUM DAN SESUDAH PENGEMBANGAN VAKSIN VIRUS CORONA (COVID-19)

2021 ◽  
Vol 7 (3) ◽  
Author(s):  
Morenly Marchel Welley ◽  
Franky N. S Oroh ◽  
Mac Donald Walangitan
Keyword(s):  
Capital Market ◽  
Stock Price ◽  
Vaccine Development ◽  
Share Price ◽  
Analysis Technique ◽  
Significant Difference ◽  
Before And After ◽  
The Difference ◽  
The Government ◽  
National Economies

ABSTRACT: The existence of an extraordinary event that occurred, namely the Covid-19 Pandemic, caused the global and national economies to experience obstacles. Not only does it have an impact on the economy, but this also has an impact on the capital market. The President's announcement regarding the development of the Covid-19 vaccine provides hope for the economy and capital market to revive. The state-owned pharmaceutical company appointed by the government has also benefited from vaccine development. The purpose of this study was to determine the difference in the share price of BUMN Pharmaceutical Companies before and after the development of the corona virus vaccine (Covid-19). The data analysis technique used in this study was the Paired sample t-test. The results showed that (1) the stock price of KAEF before the announcement of vaccine development and the stock price of KAEF after the announcement of vaccine development was a significant difference and (2) the stock price of INAF before the announcement of vaccine development and the stock price of INAF after the announcement of vaccine development had a significant difference.

scholarly journals Market Reaction Analysis of Annual Report Award Announcement: An Event Study Using Abnormal Return, Trading Volume Activity, and Stock Price

2020 ◽  
Vol 4 (1) ◽  
pp. 340
Author(s):  
Fitri Astuti ◽  
Anggi Setya Prayoga
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Abnormal Return ◽  
Trading Volume ◽  
Annual Report ◽  
Market Reaction ◽  
Abnormal Returns ◽  
Volume Activity ◽  
Event Window ◽  
Before And After

This study intends to examine the differences in market reaction around the announcement of the Annual Report Award which is not only measured by abnormal return but is also measured using trading volume activity and stock prices. The data used are quantitative data in the form of a list of companies that received the Annual Report Award for the 2015-2018 period, the daily closing price of the ARA-winning company in the event window, the composite stock price index, the number of shares traded, and the number of shares outstanding. The event window is selected for 11 days because the long window period will blend with the effects of other events or confounding effects. The results of the study concluded that the market reacted around the announcement of the Annual Report Award for the 2015-2018 period measured using abnormal returns, trading volume activity, and stock prices. There is no difference in abnormal returns before and after the announcement of the 2013-2016 Annual Report Award period. Instead there are differences in trading volume activity and stock prices before and after the announcement of the Annual Report Award for the 2015-2018 period.

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