scholarly journals Pengaruh Pengumuman Kebijakan Dividen terhadap Volatilitas Harga Saham

Eksos ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 85-94
Author(s):  
Yani Riyani
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Dividend Policy ◽  
Linear Regression Analysis ◽  
Abnormal Returns ◽  
Price Volatility ◽  
Simple Linear Regression ◽  
Stock Price Volatility ◽  
Dividend Signaling ◽  
Before And After

This study aims to determine the effect of dividend policy announcements on stock price volatility. This research is an event study, with a period of observation 10 days before and after dividend announcement. According to the purposive sampling of 30 companies incorporated in the JII there are 20 companies that meet the criteria to be sampled. The variable used in this study is dividend policy announcements which are proxied by abnormal returns and stock price volatility. By using simple linear regression analysis, the results of the study found that the dividend announcement policy affects the volatility of stock prices. This means that dividend policy announcements contain information that causes shares to react. The results of this study are consistent with the dividend signaling theory which states that dividend policy announcements contain information that can cause stock prices to react.

scholarly journals FAKTOR PENENTU BID-ASK SPREAD SAHAM LQ45

2020 ◽  
Vol 2 (1) ◽  
pp. 43-54
Author(s):  
Sabna Ainazah Fatikhah ◽  
Siti Puryandani
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Linear Regression Analysis ◽  
Price Volatility ◽  
Multiple Linear Regression Analysis ◽  
Company Size ◽  
Stock Price Volatility ◽  
Company Stock ◽  
Bid Ask Spread

Investors always use various information to get the maximum profit in investment activities. One such information is the bid-ask spread. This study aims to determine the effect of company size, stock prices, stock price volatility and trading volume on the bid-ask spread of companies listed in the LQ45 index in the period 2015 to 2018. A total of 14 companies were taken as a purposive sampling sample in order to obtain 56 observational data. The analytical method used in this study is the method of multiple linear regression analysis. The results showed that stock prices and stock price volatility affect the bid-ask spread. While company size and trading volume do not affect bid-ask spread. Investors can consider the size of the company, stock prices, stock price volatility, and trading volume to avoid high spreads and get profit in the future.

scholarly journals Pengaruh Volume Perdagangan Saham, Leverage, dan Kebijakan Dividen Terhadap Volatilitas Harga Saham

2020 ◽  
Vol 2 (3) ◽  
pp. 149-162
Author(s):  
Mario Ascaryo Septyadi ◽  
Theresia Hesti Bwarleling
Keyword(s):  
Stock Price ◽  
Trading Volume ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Price Volatility ◽  
Secondary Data ◽  
Sampling Technique ◽  
Stock Trading ◽  
Stock Price Volatility

This study aims to determine the influence of Stock Trading Volume, Leverage, and Dividend Policy both simultaneously and partially from LQ45 Index companies listed on the Indonesia Stock Exchange in 2016-2018. The analysis technique used is multiple linear regression analysis using the IBM SPSS 26 program. This type of research is a quantitative study using secondary data, there are 18 companies as a sample of research data collected by purposive sampling technique. The dependent variable in this study is Stock Price Volatility, while the independent variables are Stock Trading Volume, Leverage, and Dividend Policy. The results showed that partially Stock Trading Volume has a positive and significant effect on Stock Price Volatility. Leverage and Dividend Policy have no significant effect on Stock Price Volatility. It is expected that the results of this study can be taken into consideration for investors to choose the right type of investment based on the level of stock price volatility that is influenced by various factors, especially stock trading volume..

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.

scholarly journals Pengaruh Volume Perdagangan Saham, Volatilitas Laba, Dividend Yield, dan Ukuran Perusahaan Pada Volatilitas Harga Saham

2018 ◽  
pp. 2148
Author(s):  
Ni Wayan Sekar Andiani ◽  
Gayatri Gayatri
Keyword(s):  
Firm Size ◽  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Price Volatility ◽  
Dividend Yield ◽  
Stock Trading ◽  
Stock Price Volatility

This study aims to obtain empirical evidence on the effect of stock trading volume, earning volatility, dividend yield, and firm size on stock price volatility. This research was conducted on companies listed in index LQ 45 in Indonesia Stock Exchange 2012 until 2016. This research took the population of 45 companies with the number of samples of 21 companies selected through purposive sampling, so the number of samples observation for 5 years to 105 companies. The analysis technique in this research is multiple linear regression analysis. Based on the analysis results found that the stock trading volume does not affect the stock price volatility. Earning volatility has a negative effect on stock price volatility. This shows the higher volatility of profits owned by the company tends to reduce the interest of investors to invest or can reduce the volatility of stock prices. Dividend yield has a positive effect on stock price volatility. Which means that the higher dividend rate can affect the high investor interest to invest in the capital market, causing a stock price reaction. The firm size has a negative affects on stock price volatility. This proves the greater the size of the company indicates a stable corporate condition and able to reduce the volatility of stock prices. Keywords: Stock Trading Volume, Earning Volatility, Dividend Yield, Firm Size, Stock Price Volatility.

Dividend policy and stock price volatility of industrial products firms in Malaysia

2018 ◽  
Vol 13 (1) ◽  
pp. 203-217 ◽  
Author(s):  
Rozaimah Zainudin ◽  
Nurul Shahnaz Mahdzan ◽  
Chee Hong Yet
Keyword(s):  
Stock Price ◽  
Dividend Policy ◽  
Price Volatility ◽  
Industrial Products ◽  
Stock Price Volatility ◽  
Dividend Payout ◽  
Content Type ◽  
Crisis Period ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to analyse the relationship between stock price volatility (SPV) and dividend policy of industrial products firms listed on Bursa Malaysia. Design/methodology/approach The sample comprises 166 industrial products public-listed firms covering a time span from year 2003 to 2012. Using Baskin’s framework, firm’s SPV is related to dividend payout, controlling for earnings volatility, firm size, leverage and growth of assets. Further, the impact of the global financial crisis on the relationship between SPV and the tested variables is examined. Findings Earning volatility significantly explains SPV of industrial product firms during the crisis period, while dividend payout ratio (PR) predominantly influences volatility during pre- and post-crisis sub-periods. The empirical results indicate that dividend policy is a strong predictor of SPV of industrial products firms in Malaysia, particularly during the post-crisis period. Originality/value The paper explores the firm’s SPV and dividend policy for a new set of data focussing on industrial products firms listed on the Malaysian Stock Exchange.

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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