scholarly journals PENGARUH VOLUME PERDAGANGAN DAN SIMPLE MOVING AVERAGE TERHADAP HARGA SAHAM

2020 ◽  
Vol 1 (1) ◽  
pp. 1-16
Author(s):  
Gama Paksi Baskara ◽  
Suyanto Suyanto ◽  
Sri Retnaning Rahayu
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Qualitative Data ◽  
Moving Average ◽  
Analytical Tool ◽  
T Test ◽  
Quantitative Approach ◽  
F Test ◽  
Regression Tests

Trading volume is a sheet of company shares traded on a particular transaction and has beenagreed between the seller and the buyer, Simple Moving Average is a method that studies themovement of the previous stock price based on the number of certain days in order to predict thestock price that will occur to the next.The objective of the study is to find out how much influenceTrade Volume and Simple Moving Average on Stock Prices is and what are the most dominantaspects in influencing Stock Prices. The type of the research uses a quantitative approach, namely anapproach in which the data are in the form of numbers or qualitative data that have been used asnumbers. The technique of collecting data uses documentation. The analytical tool used is multiplelinear regression tests including T Test, F Test and Coefisein R² Determination processed usingEviews. The results of the study show that partially the trading volume variable does not have asignificant effect on Stock Prices and the Simple Moving Average variable shows a positive andsignificant effect on stock prices while the results of the research simultaneously show that theTrading Volume and Simple Moving Average variables simultaneously affect the Stock Price .

scholarly journals Pengaruh Inflasi Dan BI Rate Terhadap Harga Saham Perusahaan LQ45 Pada Bursa Efek Indonesia

2021 ◽  
Vol 12 (2) ◽  
pp. 253-262
Author(s):  
Risa Ratna Gumilang ◽  
Dikdik Nadiansyah
Keyword(s):  
Significant Relationship ◽  
Stock Prices ◽  
Stock Price ◽  
Quantitative Method ◽  
Secondary Data ◽  
T Test ◽  
F Test ◽  
Company Stock ◽  
A Value ◽  
Inflation Rates

This research is motivated by a mismatch between theories regarding stock price movements that are influenced by inflation rates and BI Rate with conditions that occur in the field. In theory, when stock prices increase, it will be influenced by falling inflation and the BI Rate, and vice versa. But this is different from the conditions that occur in the field. This research aims to examine and determine the effect of inflation and BI Rate on the LQ45 company stock prices. This study uses the quantitative method by using the secondary data. From the results of the study using the t test, inflation has a tcount 0.828 and a Sig. 0.417. This shows that partially, inflation does not have a significant effect on stock prices. While the BI Rate has a value of -2.511 and a Sig. 0.020. This shows that partially, the BI Rate has a significant effect on stock prices. In correlation, inflation has a Sign value. (2-tailed) 0.068. This shows that in correlation, inflation does not have a significant relationship to the BI Rate. Simultaneously (F test), inflation and the BI Rate have a Fcount value of 5.005 and a Sig. (2-tailed) of 0.017. This shows that simultaneously, inflation and the BI Rate have a significant effect on stock prices.

scholarly journals REAKSI SAHAM INDEKS JII TERHADAP PENGUMUMAN RESHUFFLE KABINET KERJA TAHUN 2015 DI BURSA EFEK INDONESIA

2020 ◽  
Vol 7 (1) ◽  
pp. 36
Author(s):  
Herizka Ayuk Arviani ◽  
Rikha Muftia Khoirunnisa
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
T Test ◽  
Price Reaction ◽  
Before And After ◽  
Stock Price Reaction ◽  
The Difference

This study aims to determine the speed of JII stock price reaction on the Indonesia Stock Exchange around the date of the announcement of the Working Cabinet reshuffle and to analyze the difference in average trade volume in the period before and after the announcement of the Working Cabinet reshuffle. This data collection technique uses population techniques taken by 30 companies in the JII Index for the period June - November 2015 with observation period 10 days before and 10 days after the announcement. Analysis tools that are used to determine the reaction of stock prices before and after using one sample t test while the analytical tool to distinguish the average trading volume using paired sample t test using an alpha level (α) of 10%. The results of the analysis of stock price reactions indicate that there is a JII stock price reaction at Indonesia Stock Exchange in the period before and after the announcement of the Working Cabinet reshuffle. Because abnormal returns occur at H-7, H-4, H-1, H0, H + 1, H + 7 and H + 10. And the results of the average volume test that is there is a difference in the average trading volume before and after the announcement of the Working Cabinet reshuffle. This can be seen from the significance value lower than alpha 10% (0.033 <0.0.1).

PENGARUH KOMPETENSI, MOTIVASI, DAN KOMUNIKASI TERHADAP KINERJA PEGAWAI PADA DINAS PEKERJAAN UMUM DAN PENATAAN RUANG KABUPATEN BANDUNG BARAT

2019 ◽  
Vol 2 (2) ◽  
pp. 1-14
Author(s):  
Lydia Novi Yanti
Keyword(s):  
Case Studies ◽  
Secondary Data ◽  
T Test ◽  
Civil Servants ◽  
Quantitative Approach ◽  
Research Approach ◽  
Validity And Reliability ◽  
F Test ◽  
Simultaneous Test

This research is conducted in order to assess the effect of competency, motivation, and communication on employee’s performance (case studies at Dinas Pekerjaan Umum dan Penataan Ruang West Bandung Regency) partially and simultaneously. There are many factors that affect the employee’s performance, but this research is only limited to the factors of competency, motivation, and communication. The researcher used primary and secondary data. The research approach used is quantitative approach which the samples are 55 civil servants which is assessed by 5 Heads of Fields and 2 Heads Sub-Division. Before analyzing, all research validity and reliability instruments are examined. After the data are valid and reliable then analyzed by using classical assumption test, partial test (t test), and simultaneous test (F test) helping by IBM SPSS version 23 software. The result of analysis showed that competency, motivation, and communication variables are affected positively significantly and partially to the employee’s performance. Competency, motivation, and communication variables simultaneously affected positively and significantly about 54,3% and the rest is about 45,7% affected by other variable that is not observed in this research.  

scholarly journals Is Abnormally Large Volume a Clue?

2016 ◽  
Vol 8 (9) ◽  
pp. 226
Author(s):  
Tsung-Hsun Lu ◽  
Jun-De Lee
Keyword(s):  
Stock Market ◽  
Large Volume ◽  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Sensitive Analysis ◽  
Support Level ◽  
Out Of Sample ◽  
Sample Test ◽  
Abnormal Trading Volume

This paper investigates whether abnormal trading volume provides information about future movements in stock prices. Utilizing data from the Taiwan 50 Index from October 29, 2002 to December 31, 2013, the researchers employ trading volume rather than stock price to test the principles of resistance and support level employed by technical analysis. The empirical results suggest that abnormal trading volume provides profitable information for investors in the Taiwan stock market. An out-of-sample test and a sensitive analysis are conducted for the robustness of the results.

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 Comparison of ARIMA, ANN and LSTM for Stock Price Prediction

2020 ◽  
Vol 218 ◽  
pp. 01026
Author(s):  
Qihang Ma
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Short Term Memory ◽  
Moving Average ◽  
Arima Model ◽  
Predictive Ability ◽  
Research Direction ◽  
Ann Model ◽  
Advantages And Disadvantages ◽  
Stock Price Prediction

The prediction of stock prices has always been a hot topic of research. However, the autoregressive integrated moving average (ARIMA) model commonly used and artificial neural networks (ANN) still have their own advantages and disadvantages. The use of long short-term memory (LSTM) networks model for prediction also shows interesting possibilities. This article compares three models specifically through the analysis of the principles of the three models and the prediction results. In the end, it is believed that the LSTM model may have the best predictive ability, but it is greatly affected by the data processing. The ANN model performs better than that of the ARIMA model. The combination of time series and external factors may be a worthy research direction.

scholarly journals PENGARUH NILAI TUKAR DAN HARGA MINYAK MENTAH DUNIA TERHADAP RETURN SAHAM PT. INDOMOBIL SUKSES INTERNASIONAL TBK. DAN PT. ASTRA INTERNASIONAL TBK. TAHUN 2006-2016

2017 ◽  
Vol 1 (2) ◽  
pp. 61
Author(s):  
Arif Fadlilah ◽  
Sri Hermuningsih
Keyword(s):  
Exchange Rates ◽  
Crude Oil ◽  
Stock Prices ◽  
Stock Return ◽  
T Test ◽  
Oil Price ◽  
Crude Oils ◽  
Crude Oil Price ◽  
F Test ◽  
Crude Oil Prices

This research is meant to find out the influence of exchange rates and crude oil price either simultaneous or partial to the stock return at PT. Indomobil Sukses Internasional Tbk. and PT Astra Internasional Tbk. The data which is applied in this research is the automotive companies’ stock prices, Rupiah exchange rates, and crude oil price from 2006 to 2016. The multiple linear regressions are applied as the analysis technique by carrying out F test and t test. Based on the F test it is found that simultaneously the rupiah exchange rates and crude oil prices have influence to the stock return. Based on the t test it is found that partially the rupiah exchange rates have no influence to PT. Indomobil Sukses Internasional Tbk stock return but have influence to PT. Astra Internasional Tbk stock return and crude oils prices have influence to stock return. t test indicates the dominant influence to the stock return PT. Indomobil Sukses International Tbk is crude oils variable and stock return PT. Astra International Tbk is exchange rates variable

scholarly journals FORECASTING OF THE STOCK RATE OF LEADING WORLD COMPANIES USING ECONOMETRIC METHODS AND DCF ANALYSIS

2020 ◽  
pp. 33-41
Author(s):  
Olena Nikolaieva ◽  
Anzhela Petrova ◽  
Rostyslav Lutsenko
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Financial Analysis ◽  
Moving Average ◽  
Arima Model ◽  
Financial Indicators ◽  
Econometric Methods ◽  
Global Companies ◽  
The Moment ◽  
Data Analysis Methods

In this article, we will cover various models for forecasting the stock price of global companies, namely the DCF model, with well-reasoned financial analysis and the ARIMA model, an integrated model of autoregression − moving average, as an econometric mechanism for point and interval forecasting. The main goal is to compare the obtained forecasting results and evaluate their real accuracy. The article is based on forecasting stock prices of two companies: Coca-Cola HBC AG (CCHGY) and Nestle S.A. (NSRGF). At the moment, it is not determined which approach is better for predicting the stock price − the analysis of financial indicators or the use of econometric data analysis methods.

scholarly journals Analysis Relative Strength Index and Earning Per Share on Stock Price

2019 ◽  
pp. 1-9
Author(s):  
Jajang Badruzaman
Keyword(s):  
Research Design ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Relative Strength ◽  
Quantitative Approach ◽  
Significant Positive Effect ◽  
Strength Index ◽  
Positive Effect

This study aims to determine the effect of the Relative Strength Index and Earnig Per Share on Stock Prices. The research design used is a quantitative approach with a population of all companies in the Jakarta Islamic Index (JII) category listed on the Indonesia Stock Exchange for the 2013-2016 periods. The sampling technique used was purposive sampling. Based on the criteria set, 13 companies were obtained. The results showed that the Relative Strength Index and Earnig Per Share had a significant positive effect on Stock Prices in the Jakarta Islamic Index (JII) company on the Indonesia Stock Exchange for the Period 2013-2016.

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.

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