scholarly journals PENGARUH VOLUME PERDAGANGAN SAHAM DAN HARGA SAHAM TERHADAP BID-ASK SPREAD STUDI PADA PERUSAHAAN-PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA

2017 ◽  
pp. 62-74
Author(s):  
Ruminsar Nainggolan ◽  
Donalson Silalahi

ABSTRACT The purpose of this study is to determine the effect of stock trading volume and stock prices on bid-ask spreads on manufacturing companies listed on the Indonesia Stock Exchange. The population in research is 155 companies and by using purposive sampling as sampling technique, then the sample in this research is 46 company. The data used are secondary data and use multiple regression equation as an analytical tool. Based on the results of the research it can be argued that, trading volume and stock prices have a negative and significant effect on the bid-ask spread both before and after the data grouping. The results also show that stock trading in Indonesia Stock Exchange is liquid. Investors or potential investors who want to invest in the capital market should make trading volume and stock price as a reference in making investment decisions, because simultaneously these two variables have a significant effect on bid-ask spreads.

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.


Author(s):  
Aprih . Santoso

Abstract : Companies need funds in order to carry out operations such as the financing of production activities, pay employees, pay other expenses related to the operation of the company. One way to obtain these funds is to attract investors to invest in companies in the form of stock, but in making this investment is certainly not easy for investors, because investors need consideration beforehand to find out how the company's performance. The purpose of this study was to examine and analyze the effect of operating cash flow to stock return through stock price at companies listed on the Stock Exchange Year 2012-2015. The data used in this study dala are secondary data from the financial statements of companies listed on the Indonesia Stock Exchange period 2012 - 2015. The data are in the form of financial statements can be obtained from the Indonesian Capital Market Directory (ICMD), the IDX website www.idx.co. id as well as from various other sources to support this research. The population in this research is manufacturing companies listed on the Stock Exchange the period 2012 - 2015. The samples taken by the sampling technique used purposive sampling.From the test results and analysis of the data it can be concluded that operating cash flow directly and indirectly has no effect on stock returns through stock prices showed no significant results. Keywords :  Operating Cash Flow, Stock Price, Stocks Return


2021 ◽  
Vol 9 (2) ◽  
pp. 101-114
Author(s):  
Fauziyah Fauziyah

Abstract Indonesia Stock Exchange (IDX) is a term that is well known in the world of stocks in Indonesia. One of the company sectors listed on the IDX is manufacturing. The contribution of the manufacturing sector to Gross Domestic Product (GDP) was recorded to be the largest compared to other sectors. In this research, the manufacturing companies that will be used as the object of research to predict their stock prices are manufacturing companies listed in LQ45. In stock trading, prices fluctuate up or down. Stock conditions that fluctuate every day make investors who are going to invest in the Manufacturing industry must observe and study the past company data before investing. This data is important for investors to find out what might happen to a company's stock price. Thus, predicting stock prices in the manufacturing industry for the future is needed as a stage in deciding which manufacturing companies are good to investing in. The prediction method in this research uses ARIMA. The results obtained are the stock prices of companies GGRM, HMSP, ICBP, INDF, INTP and UNVR following a downward trend, so that the actions taken by investor in these companies are selling stocks, while for the stock prices of companies ASII, CPIN, INKP, JPFA, SMGR, TKIM, following an upward trend, so that the actions taken by investors in these companies are buying stocks.Keywords: Prediction, ARIMA, Investment  BEI merupakan istilah yang terkenal pada dunia saham di Indonesia. Sektor perusahaan yang terdapat di BEI salah satunya adalah manufaktur. Kontribusi sektor manufaktur dalam Produk Domestik Bruto (PDB) tercatat yang paling besar dibandingkan sektor lainnya. Di dalam penelitian ini, perusahaan manufaktur yang akan dijadikan objek penelitian untuk diramalkan harga sahamnya yaitu perusahaan manufaktur yang terdaftar di LQ45.  Pada perdagangan saham, harga mengalami fluktuasi naik maupun turun.  Keadaan saham yang fluktuasi setiap hari menjadikan investor yang akan berinvestasi di industri Manufaktur harus mengamati dan mempelajari data perusahaan dimasa lalu sebelum melakukan investasi. Data tersebut penting bagi investor untuk mengetahui kemungkinan yang terjadi pada harga saham suatu perusahaan. sehingga, meramal harga saham pada industri manufaktur untuk masa yang akan datang sangat dibutuhkan sebagai tahapan dalam memutuskan perusahaan Manufaktur yang baik dalam melakukan investasi. Metode Prediksi dalam penelitian ini menggunakan ARIMA. Hasil yang didapat yaitu harga saham perusahaan GGRM, HMSP, ICBP, INDF, INTP dan UNVR mengikuti tren turun, sehingga langkah yang diambil untuk investor pada perusahaan tersebut adalah menjualnya sedangkan untuk harga saham perusahaan ASII, CPIN, INKP, JPFA, SMGR, TKIM, mengikuti tren naik, sehingga langkah yang diambil untuk investor pada perusahaan tersebut adalah membeli saham.Kata Kunci: Prediksi, ARIMA, Investasi


Author(s):  
Yeni Ariesa ◽  
Tommy Tommy ◽  
Jane Utami ◽  
Intan Maharidha ◽  
Nanda Ciptara Siahaan ◽  
...  

This study aims to determine the effect of Current Ratio on stock prices, the effect of Firm Size on stock prices, the effect of Return On Equity on Stock Prices, the effect of Earning Per Share on Stock Prices, and the influence of Current Ratio, Firm Size, Return On Equity, and Earning Per Share simultaneously on stock prices in the 5 year period, 2014-2018. This study uses a quantitative approach with a descriptive statistical analysis type. The population in this study amounted to 150 companies. This study uses financial statement data with time series for the last 5 years published from www.idx.co.id. In this study, the sample selection used purposive sampling technique. The sample of this study contained 49 companies in the last 5 years with a total sample quantity of 245 manufacturing companies. The results of this study indicate that partially Current Ratio and Return On Equity have no and insignificant effect on stock prices of manufacturing companies. Partially Firm Size and Earning Per Share have a positive and significant effect on stock prices of manufacturing companies. Meanwhile, the independent variable Current Ratio, Firm Size, Return On Equity, and Earning Per Share simultaneously have a significant effect on the variable stock price of manufacturing companies.


2020 ◽  
Vol 2 (3) ◽  
pp. 149-162
Author(s):  
Mario Ascaryo Septyadi ◽  
Theresia Hesti Bwarleling

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..


Author(s):  
Fita Krisdayanti ◽  
Tuti Zakiyah

The purpose of this study was to determine the effect of Stock Price, Stock Return, Trade Volume and Stock Return Risk partially or simultaneously on the bid ask spread of the LQ45 index companies 2019. The data source used in this study was daily secondary data. The population used in this study are companies listed in the 2019 LQ45 index, totaling 45 companies. The sampling technique used purposive sampling method which resulted in a total sample size of 37 companies and 245 days, thus forming a panel data of 9,065 samples. The analysis technique used is the Fixed Effect Model panel data regression analysis with the help of eviews 10 software application. The results show that: 1) stock prices have a significant effect on the bid ask spread, 2) stock returns have no significant effect on the bid ask spread, 3) volume stock trading has a significant effect on the bid ask spread, 4) the risk of stock return has a significant effect on the bid ask spread, 5) the stock price, stock return, trading volume, and the risk of stock return have a significant effect on the bid ask spread.


2018 ◽  
pp. 2148
Author(s):  
Ni Wayan Sekar Andiani ◽  
Gayatri Gayatri

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.


2016 ◽  
Vol 7 (1) ◽  
pp. 33
Author(s):  
Wilson Yaputra Yakup ◽  
Yoyo Cahyadi

The purpose of this study were to identify and analyze the rights issue effect to the stock price, the effect of the rights issue on stock trading volume, the correlation between stock prices before and after the right issue, as well as the correlation between volume of trading activity before the right issue and after that event. The objects of the study are the companies listed on Indonesia Stock Exchange (JSX). The hypothesis stated that right issues have a significant effect on stock price on companies listed on the JSX, rights issues have a significant effect on the stock trading volume on companies listed on the JSX, there is a significant correlation between stock price before and after the rights issue on companies listed in JSX, there is a significant correlation between volume of the stock trading before the rights issue and after that event. Data analysis used were descriptive statistics, simple linear regression analysis and paired t-test. Hypothesis testing was performed by using the Pearson correlation test with significance level of 5%. The results show that the right issue has a positive effect but not significant toward stock prices of companies listed in JSX, right issue has a negative effect and not significant toward the trading volume activity (TVA) on companies listed in JSX.


2021 ◽  
Vol 2 (4) ◽  
pp. 1357-1366
Author(s):  
Heny Sidanti ◽  
Annisa Istikhomah

This study aims to obtain empirical evidence of the effect of Stock Price, Stock Return, Stock Trading Volume, and Return Variant on the Bid-Ask Spread of Stocks in Textile and Garment Companies Listed in Indonesia Stock Exchange in 2019-2020. The stock price used is the stock price recorded at the end of each closing period (closing price), stock returns are measured using the difference between returns on the research day and before the study divided by returns on the day before the study, stock trading volume is measured by the number of shares traded at the time of the study. t is divided by the number of shares outstanding at the time of the study, the variance of stock returns is measured using the standard deviation, and the bid-ask spread is measured by the difference between the selling price and the purchase price divided by the difference between the selling price and the purchase price divided by two. The population in this study is 17 textile and garment companies listed on the IDX. Based on the purposive sampling method, a sample of 16 companies was obtained with 309 data. This research data is obtained from the company's monthly data from 2019 to 2020. The results of the analysis show that stock prices and stock trading volumes affect the bid-ask spread, while stock returns and return variances do not affect the bid-ask spread. Meanwhile, simultaneously, stock prices, stock returns, stock trading volume, and return variance affect the bid-ask spread. This research data is obtained from the company's monthly data from 2019 to 2020. The results of the analysis show that stock prices and stock trading volume affect the bid-ask spread, while stock returns and return variances do not affect the bid-ask spread. Meanwhile, simultaneously, stock prices, stock returns, stock trading volume, and return variance affect the bid-ask spread. This research data is obtained from the company's monthly data from 2019 to 2020. The results of the analysis show that stock prices and stock trading volumes affect the bid-ask spread, while stock returns and return variances do not affect the bid-ask spread. Meanwhile, simultaneously, stock prices, stock returns, stock trading volume, and return variance affect the bid-ask spread.


2019 ◽  
Vol 2 (1) ◽  
pp. 73-82
Author(s):  
Syarifah Nur Azura ◽  
Myrna Sofia ◽  
Nurhasanah Nurhasanah ◽  
Firmansyah Kusasi

The aims of this study is to look at the effect of Devidend Payout Ratio, Devidend Yield, Company Size, Trading Volume, Exchange Rate, Inflation, Interest Rate Against Stock Price Volatility. With a purposive sampling technique, this study took 7 companies as samples of 153 manufacturing companies listed on the Indonesia Stock Exchange in 2012-2016. Data analysis was performed using Multiple Regression. The results of the study show that the Devidend Payout Ratio has an effect on Stock Price Volatility, while the Devidend Yield, Company Size, Trading Volume, Exchange Rate, Inflation and Interest Rate do not affect the Stock Price Volatility. While simultaneously all the independent variables tested showed a significant effect on Stock Price Volatility in Manufacturing companies listed on the Indonesia Stock Exchange in 2012-2016.


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