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, 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.

scholarly journals Linkage Stock Price, Trading Volume Activity, Stock Returns and Trading Frequency on Bid Ask Spread

2020 ◽  
Vol 1 (1) ◽  
pp. 28
Author(s):  
Alkusani Alkusani ◽  
Anita Handayani ◽  
Yosi Firda Rahmadani
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Trading Frequency ◽  
Bid Ask Spread ◽  
Independent Variable

The purpose of this study was to to examine the effect of stock prices, trading volume activities, stockreturns and trading frequency of the bid ask spread of LQ45 company. Determination of the studysample consist of 42 companies conducted using purposive sampling method. As for hypothesistesting and research instruments using multiple linear regression analysis SPSS 20.0. Result of thisstudy prove that all of the independent variable does not affect the bid ask spread

scholarly journals FAKTOR YANG MEMPENGARUHI VOLATILITAS HARGA SAHAM PADA EMITEN YANG TERDAFTAR DI JAKARTA ISLAMIC INDEX

2021 ◽  
Vol 8 (6) ◽  
pp. 706
Author(s):  
Nurul Hidayati ◽  
Puji Sucia Sukmaningrum
Keyword(s):  
Stock Price ◽  
Trading Volume ◽  
Dividend Policy ◽  
Price Volatility ◽  
Share Price ◽  
Company Size ◽  
Stock Price Volatility ◽  
Dividend Payout ◽  
Earnings Volatility ◽  
Panel Data Regression

ABSTRAKTujuan dari penelitian ini yaitu meneliti pengaruh kebijakan dividen, volume perdagangan, volatilitas laba, ukuran perusahaan dan tingkat hutang terhadap volatilitas harga saham di emiten yang terdaftar di JII dari tahun 2015 sampai 2019. Adapun manfaat dari penelitian ini dalam eksistensi pasar finansial secara global karena dapat mengukur tingkat risiko. Penelitian ini dibantu dengan alat analisis Eviews 10. Regresi data panel dipilih dalam penelitian ini. Hasil penelitian membuktikan bahwa secara individual dividend payout ratio, volume perdagangan dan volatilitas laba secara positif memiliki pengaruh yang signifikan, ukuran perusahaan secara negatif memiliki pengaruh signifikan, dan tingkat hutang tidak memiliki pengaruh signifikan terhadap volatilitas harga saham. Secara simultan, variabel dividend payout ratio, volume perdagangan, ukuran perusahaan, volatilitas laba, dan tingkat hutang signifikan berpengaruh terhadap volatilitas harga saham. Kata Kunci: Volatilitas harga saham, emiten syariah, regresi data panel. ABSTRACTThe purpose of this study is to examine the effect of dividend policy, trading volume, earnings volatility, company size and level of debt on stock price volatility in issuers listed in JII from 2015 to 2019. The benefits of this research are in the existence of global financial markets because it can measure the level of risk. This research is assisted by the analysis tool Eviews 10. Panel data regression. selected in this study. The results showed that partially the dividend payout ratio, trading volume and earnings volatility had a positive and significant effect, company size had a negative and significant effect, and the level of debt had no significant effect on stock price volatility. Simultaneously, the variable dividend payout ratio, trading volume, company size, earnings volatility, and level of debt have a significant effect on stock price volatility. Keywords: Stock price volatility, sharia company, panel data regression. DAFTAR PUSTAKABawono, A., & Shina, A. F. I. (2018). Ekonometrika terapan untuk ekonomi dan bisnis Islam aplikasi dengan Eviews. Salatiga: Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) IAIN Salatiga Press.Brigham, E. F., & Houston, J. F. (2011). Dasar-dasar manajemen keuangan, buku kedua. Jakarta: Salemba Empat.Camilleri, S. J., Grima, L., & Grima, S. (2019). The effect of dividend policy on share price volatility: an analysis of Mediterranean banks’ stocks. Managerial Finance, 45(2), 348–364. https://doi.org/10.1108/MF-11-2017-0451Dewi, S., & Paramita, R. A. S. (2019). Pengaruh kebijakan dividen, volume perdagangan, earning volatility, leverage, dan firm size terhadap volatilitas harga saham perusahaan LQ45. Jurnal Ilmu Manajemen, 7(3), 761–771.Fakhruddin, H. M. (2008). Istilah pasar modal A-Z. Jakarta: Elex Media Komputindo.Gumanti, T. A. (2013). Kebijakan Dividen (Pertama). UPP STIM YKPN.Jahfer, A., & Mulafara, A. H. (2016). Dividend policy and share price volatility: Evidence from Colombo stock market. Internaltional Journal Managerial and Financial Accounting, 8(2), 97–108. DOI:10.1504/IJMFA.2016.077947Jannah, R., & Haridhi, M. (2016). Pengaruh kebijakan dividen, earning volatility, dan leverage terhadap volatilitas harga saham pada perusahaan non-financing yang terdaftar di bursa efek Indonesia tahun 2010-2014. Jurnal Ilmiah Mahasiswa Ekonomi Akuntansi, 1(1), 133–148.Mehmood, A., Ullah, M. H., & Ul Sabeeh, N. (2019). Determinants of stock price volatility: Evidence from cement industry. Accounting, 5(4), 145–152. https://doi.org/10.5267/j.ac.2019.2.002Muhamad. (2016). Manajemen keuangan syari’ah analisis fiqh & keuangan. Yogyakarta: UPP STIM YKPN.Novius, A. (2017). Analisis pengaruh kebijakan deviden ( Dividen payout ratio dan devidend yield) terhadap volatilitas harga saham (Studi empiris pada perusahaan kelompok LQ45 yang terdaftar di BEI). Jurnal Al-Iqtishad, 13(1), 67. https://doi.org/10.24014/jiq.v13i1.4389Rowena, J., & Hendra. (2017). Earnings volatility, kebijakan dividen, dan pertumbuhan asset berpengaruh terhadap volatilitas harga saham pada perusahaan manufaktur di BEI periode 2013 – 2015. Jurnal Administrasi Kantor, 5(2), 231–242.Sarmanu. (2017). Dasar metodologi penelitian. Surabaya: Airlangga University Press.Septyadi, M. A., & Bwarleling, T. H. (2020). Pengaruh volume perdagangan saham, leverage, dan kebijakan dividen terhadap volatilitas harga saham, 2, 149–162.Shah, S. A., & Noreen, U. (2016). Stock price volatility and role of dividend policy: Empirical evidence from Pakistan. International Journal of Economics and Financial Issues, 6(2), 461–472.Spence. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.2307/1882010Tandelilin, E. (2010). Manajemen portofolio dan investasi. Surabaya: Kanisius.Yulinda, E., Pujiastuti, T., & Haryono, S. (2020). Analisis pengaruh dividend payout ratio, leverage, firm size, volume perdagangan, earning volatility, dan inflasi terhadap volatilitas harga saham pada perusahaan yang terdaftar dalam indeks LQ45 tahun 2014-2017. Jurnal Ilmiah Indonesia Ilmiah Indonesia, 5(5), 76. DOI:10.36418/syntax-literate.v5i5.1106Zainudin, R., Mahdzan, N. S., & Yet, C. H. (2018). Dividend policy and stock price volatility of industrial products firms in Malaysia. International Journal of Emerging Markets, 13(1), 203–217. https://doi.org/10.1108/IJoEM-09-2016-0250

scholarly journals Pengaruh Likuiditas, Leverage, Profitabilitas dan Ukuran Perusahaan Terhadap Harga Saham Pada Perusahaan Pertambangan yang Terdaftar di Bursa Efek Indonesia Periode 2013-2017

2020 ◽  
Vol 5 (2) ◽  
pp. 74-82
Author(s):  
Shelvia Angeline ◽  
Jessy Safitri Sitorus
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Company Size ◽  
Statistical Research ◽  
Mining Companies

This research aims to specify the effect of liquidity, leverage, profitability and company size on the stock price of mining companies listed on the Indonesia Stock Exchange in the period of 2013-2017. This type of research is descriptive statistical research. The object of this research had been done on 26 mining companies listed on the Indonesia Stock Exchange that were collected by purposive sampling. The data type that used in this research is called secondary data in the configuration of mining company financial statements for the period 2013-2017. The ratios used during this research are Current Ratio representing Liquidity, Debt to Equity Ratio that represents Leverage, Return On Assets representing Profitability and LN (Total Assets) representing Company Size. The analysis used is descriptive analysis, graph analysis also multiple linear regression analysis. The conclusion showed that liquidity had a positive and significant effect on stock prices. Leverage has a negative and not significant effect on stock prices. Profitability has a positive and significant effect on stock prices. Company Size has a negative and significant effect on stock prices.

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 THE EFFECT OF COMPANY CHARACTERISTICS TOWARDS CARBON EMISSION DISCLOSURE AND ITS IMPACT ON ECONOMIC CONSEQUENCES IN NON-FINANCIAL REGISTERED COMPANIES IN INDONESIA, MALAYSIA, THAILAND AND THE PHILIPPINES PERIOD FOR 2008-2017

2021 ◽  
Vol 3 (1) ◽  
pp. 16-37
Author(s):  
Gatot Nazir Ahmad ◽  
Roh Ajiasri ◽  
Ari Warokka
Keyword(s):  
Carbon Emissions ◽  
Stock Price ◽  
Trading Volume ◽  
Price Volatility ◽  
The Philippines ◽  
Economic Consequences ◽  
Stock Price Volatility ◽  
Bid Ask Spread ◽  
The Impact ◽  
Positive Effect

This research was conducted to know the company's characteristics, the determining factors for the disclosure of carbon emissions, and the impact of the disclosure of carbon emissions on economic consequences. The financial result in this study is the decision-making behavior of businesses, governments, and creditors as a result of accounting reporting, in this case, environmental disclosures contained in annual reports and sustainable reports. This study's sample amounted to 45 companies registered in Indonesia, Malaysia, Thailand, and the Philippines, with an observation period of 2008 to 2017. To measure the disclosure of carbon emissions by creating a checklist based on information from the CDP. Company characteristics are proxied by profitability, leverage, size, and sales growth, while economic consequences are proxied by the bid-ask spread, trading volume, and stock price volatility. The analytical method used in this study is the Partial Least Square (PLS) method using the WARP PLS version 5.0 application. From the test results, it was found that Profitability and Size had a positive effect on disclosure of carbon emissions, growth sales had a negative effect, and leverage had no effect. Meanwhile, the impact of disclosing carbon emissions on the bid-ask spread, trading volume, and stock price volatility has a positive effect.

scholarly journals Analisis Leverage, Firm Size, Deviden Payout terhadap Stock Price Volatility Pada Perusahaan LQ45 di BEI Tahun 2015-2019

2021 ◽  
Vol 12 (1) ◽  
pp. 113
Author(s):  
Arna Suryani
Keyword(s):  
Firm Size ◽  
Stock Price ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Price Volatility ◽  
Company Size ◽  
Analysis Tool ◽  
Positive Contribution ◽  
Stock Price Volatility ◽  
Dividend Payout

This study examines and analyzes the effect of Leverage, Firm Size, Dividend Payout on Stock Price Volatility. This research was conducted on companies listed in the LQ45 index on the Indonesia Stock Exchange in 2015-2019. The sample was selected based on purposive sampling so that 27 sample companies were selected. Multiple linear regression analysis tool with classical assumption test and hypothesis testing. The results based on the analysis show that Leverage has a positive effect on Stock Price Volatility, while Company Size, Dividend Payout has a negative effect on Stock Price Volatility. This research can prove that the actions taken from the company's management can be seen from how the company should position the company's assets and liabilities as well as the distribution of dividends. This research is expected to make a positive contribution to all parties, especially investors in investing in the capital market while still paying attention to the level of leverage, company size and dividend payout ratio of the company to be invested.

scholarly journals The influence of CSR and corporate governance on the risk of share prices in banking in Indonesia

2020 ◽  
Vol 5 (02) ◽  
pp. 89
Author(s):  
Agnessa Britannia Paragina ◽  
Farah Margaretha Leon
Keyword(s):  
Corporate Governance ◽  
Social Responsibility ◽  
Multiple Regression ◽  
Stock Prices ◽  
Stock Price ◽  
Price Volatility ◽  
Share Price ◽  
Price Risk ◽  
Company Size ◽  
Stock Price Volatility

Abstract: This research was conducted to determine whether social responsibility and corporate governance actually have a significant effect on the risk of the company's stock price. The independent variable in this study is social responsibility and corporate governance, while the dependent variable is the risk of stock prices. There are four control variables in this study, namely company size, return on equity (ROE), earnings per share (EPS), and stock price volatility. This study collects data from 26 banking companies listed on the Indonesia Stock Exchange over a period of 5 years (2014-2018) and uses a multiple regression model for testing. The findings of this study indicate that social responsibility, company size, ROE, EPS, and stock price volatility have no significant effect on stock price risk. Meanwhile, corporate governance has a significant positive effect on stock price risk. The results of this research can be used to present a successful model for banking companies in Indonesia to concentrate more on social responsibility and corporate governance in mitigating their share price risk. All studies have used NCSKEW and DUVOL as measures of share price risk. In the novelty of this study, the Coefficient of Variation is used to measure the dependent variable so that the measurement can be distinguished from previous studies. Keywords: Banking Industry, Corporate Social Responsibility, Corporate Governance, Multiple Regression, Stock Price Risk

scholarly journals Pengaruh Asset Growth, Leverage, dan Dividend Payout Ratio pada Volatilitas Harga Saham

2020 ◽  
Vol 30 (5) ◽  
pp. 1270
Author(s):  
I Kadek Rama Artikanaya ◽  
Gayatri Gayatri
Keyword(s):  
Stock Price ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Price Volatility ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Stock Price Volatility ◽  
Dividend Payout ◽  
Negative Effect ◽  
Asset Growth

This study aims to obtain empirical evidence about the effect of asset growth, leverage, and dividend payout ratio on stock price volatility. This research was conducted on companies listed in the LQ 45 index on the Indonesia Stock Exchange in 2014 - 2018. The number of samples used was 13 companies using the nonprobability sampling method with a purposive sampling technique, so the number of samples for 5 years became 65 samples. The data analysis technique used is multiple linear regression analysis. Based on the results of the analysis found that asset growth has a negative effect on stock price volatility. Leverage has a positive effect on stock price volatility. Dividend payout ratio has a negative effect on stock price volatility. Keywords: Asset Growth; Leverage; Dividend; Volatility.

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.

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