scholarly journals Analysis The Effect of Trading Volume Activity and External Factors to Composite Stock Price Index

2020 ◽  
Vol 4 (3) ◽  
pp. 201-214
Author(s):  
Mega Barokatul Fajri ◽  
Wihandaru Wihandaru ◽  
Adi Lukman Hakim
Keyword(s):  
Stock Price ◽  
Trading Volume ◽  
Price Index ◽  
Time Series Data ◽  
Stock Exchange ◽  
External Factors ◽  
Series Data ◽  
Volume Activity ◽  
Negative Effect ◽  
Stock Price Index

This research as a purpose to analyze the effect of trading volume activity and external factors such as exchange rates, BI Rate to composite stock price index listed on the Indonesian Stock Exchange. The object of this research is on the Indonesia Stock Exchange and Bank Indonesia. In this study, the data used were time-series data and the sampling method used was purposive sampling. The method of analysis used in this study is multiple regression models. Based on the analysis that has been done, it is known that the trading volume activity and BI Rate has no effect on the composite stock price index, while the exchange rate has a negative effect on the composite stock price index.

scholarly journals Analisis Efek Ramadhan Terhadap Abnormal Return dan Trading Volume Activity pada Perusahaan Yang Masuk dalam Jakarta Islamic Index (JII) di Bursa Efek Indonesia Periode 2014-2018

AL-TIJARY ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 37-47
Author(s):  
Ahmad Faih ◽  
Rohmatun Nafiah
Keyword(s):  
Significant Influence ◽  
Stock Price ◽  
Abnormal Return ◽  
Trading Volume ◽  
Price Index ◽  
Stock Exchange ◽  
Secondary Data ◽  
T Test ◽  
Volume Activity ◽  
Stock Price Index

This study is a study of events aimed at knowing the effects of Ramadhan, to companies listed on the Jakarta Islamic Index on the Indonesia Stock Exchange period 2014-2018, using abnormal return and trading volume activity indicators. This study uses secondary data in the form of daily stock price index for the period 2014-2018 , Composite Stock Price Index (IHSG) and trading volume, with the population of companies entering the Jakarta Islamic Index on The Indonesian Stock Exchange , The statistical test used to test the hypothesis is the normality test, and the paired sample t-test. Result of T-test on Abnormal Return between year 2014-2018 know that there is no significant influence between Ramadhan month to abnormal return from year 2014 until 2018. While for T-test on trading volume activity between year 2014 until 2018 know that only in 2014, 2015, and 2017, 2018 there are significant influence which means the market responds to the event. The result of the test of Ramadhan event has the information even though it does not happen in every year of the research period, this is because Ramadhan is a routine event occuring in Indonesia so investors have been able to predict how the stock movemonts in Indonesia Stock Exchange.

scholarly journals ANALISIS FAKTOR PENENTU INDEKS HARGA SAHAM GABUNGAN DI INDONESIA

2019 ◽  
Vol 1 (4) ◽  
pp. 37
Author(s):  
Yulizar Fikri ◽  
Ali Anis
Keyword(s):  
Economic Growth ◽  
Foreign Exchange ◽  
Stock Price ◽  
Price Index ◽  
Time Series Data ◽  
Secondary Data ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Foreign Exchange Reserves ◽  
Stock Price Index

This study aims to determine the analysis of the determinants of the composite stock price index in Indonesia. The independent variables in this study are inflation as X1, foreign exchange reserves as X2, exchange rates as X3, and economic growth as X4, and the dependent variable of the composite stock price index as Y. The data used are secondary data in the formof time series data from 2010Q1 until 2019Q2, with data collection techniques, namely documentation from Bank Indonesia publications, the Central Statistics Agency, investing. comsite and library research. The research methods used are: (1) Multiple Linear Regression, (2) Classical Assumption Test (3) coefficient of determination. The results of this study indicate that:(1) inflation does not significantly influence the composite stock price index. (2) foreign exchange reserves have a significant positive effect on the composite stock price index. (3) the rupiah exchange rate has an influence on the composite stock price index and (4) economic growth hasno significant effect on the composite stock price index.

scholarly journals ANALISIS PENGARUH KURS, BI RATE DAN INFLASI TERHADAP IHSG DI BEI PERIODE 2014-2017

KEUNIS ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 64
Author(s):  
Esty Nidianti ◽  
Edi Wijayanto
Keyword(s):  
Exchange Rate ◽  
Stock Price ◽  
Price Index ◽  
Time Series Data ◽  
Series Data ◽  
Simultaneous Test ◽  
Stock Price Index ◽  
The Exchange Rate ◽  
Analyze Data

<p><em>The aim of this study was to determine the effect of macro economic conditions which including the exchange rate, BI rate and inflation of the composite stock price index. The study had used quantitative approach. Determination of the sample was based on time series data periode January 2014 – December 2017 by using saturation sampling method, which resulted 48 as number of samples. This study also had chosen multiple linier regression as attempts to analyze data. The simultaneous test (F test) resulted that the exchange rate, BI rate, and inflation had given significant effect on the stock price index. Meanwhile, the partial test (t test) had indicated that the exchange rate variable and BI rate significantly influenced the stock price index. In contrast, rate of inflation had not showed significant effect on the stock price index. </em><strong><em></em></strong></p>

scholarly journals Forecasting Analysis of Share Price Index in Construction Companies Registered in Indonesia Stock Exchange 2015-2019

2021 ◽  
Vol 5 (1) ◽  
pp. 42-63
Author(s):  
Karnila Ali
Keyword(s):  
Stock Price ◽  
Average Method ◽  
Price Index ◽  
Stock Exchange ◽  
Moving Average ◽  
Share Price ◽  
Series Data ◽  
Percentage Error ◽  
Construction Companies ◽  
Stock Price Index

Stock is one of the investment instruments that many investors choose, both short and long term. Meanwhile, the stock price index is an essential indicator for investors deciding whether to buy, sell, or hold the stock. This study aims to determine what methods are suitable for predicting the Stock Price Index of Construction Companies Listed on the Indonesia Stock Exchange in 2015-2019. By selecting a model that matches the existing time series data, to evaluate the results of the forecasting, the researcher uses a measure of accuracy with Mean Absolute Percentage Error (MAPE), Mean Absolute Deviation (MAD), and Mean Squared Deviation (MSD). This type of research is a quantitative study with a research population of 16 companies listed on the Indonesia Stock Exchange. Only four samples were used that fit the specified criteria, and only five years of research were conducted, namely in 2015 to 2019. data can be seen from historical data or actual data and tested using Minitab software version 19. The results showed that Double Exponential Smoothing (Holt's) and Double Moving Average Method could be used to forecast the Construction Company Stock Price Index. Obtaining the smallest error value of the four construction companies, namely WSKT company with MAPE = 7.3, MAD = 148.8, and MSD = 40506.0 for the Holt'sand MAPE method = 5.3, MAD = 110.1, and MSD = 22006.9 for the Double Moving Average method.

scholarly journals Deep Learning Methods In Predicting Indonesia Composite Stock Price Index (IHSG)

2021 ◽  
Vol 10 (5) ◽  
Author(s):  
Arief Fadhlurrahman Rasyid ◽  
Dewi Agushinta R. ◽  
Dharma Tintri Ediraras
Keyword(s):  
Deep Learning ◽  
Stock Price ◽  
Price Index ◽  
Time Series Data ◽  
Short Term Memory ◽  
Series Data ◽  
Analysis Model ◽  
Accuracy Rate ◽  
Learning Methods ◽  
Stock Price Index

The stock price changes at any time within seconds. The stock price is a time series data. Thus, it is necessary to have the best analysis model in predicting the stock price to make decisions to avoid losses in investing. In this research, the method used two models Deep Learning namely Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) in predicting Indonesia Composite Stock Price Index (IHSG). The dataset used is historical data from the Jakarta Composite Index (^JKSE) stock price in 2013-2020 obtained through Yahoo Finance. The results suggest that Deep learning methods with LSTM and GRU models can predict Indonesia Composite Stock Price Index (IHSG). Based on the test results obtained RMSE value of 71.28959454502723 with an accuracy rate of 92.39% for LSTM models and obtained RMSE value of 70.61870739073838 with an accuracy rate of 96.77% on GRU models.

scholarly journals PENGARUH INFLASI, SUKU BUNGA, DAN NILAI TUKAR RUPIAH TERHADAP INDEKS HARGA SAHAM GABUNGAN (IHSG) DI BURSA EFEK INDONESIA

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Siska Wahyuni Sukamto
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Price ◽  
Quantitative Research ◽  
Price Index ◽  
Stock Exchange ◽  
Economic Variable ◽  
Study Results ◽  
Negative Effect ◽  
Stock Price Index

This studi was conducted to determine the effect macro economic variable of inflation, interest rate, and exchange rate againts the stock price indeks on indonesia stock exchange, and look for variables that effect most dominant among the three variables in the stock price index. Type of research is quantitative research, using multiple regression analysis, F test, t test and standardized coefficient as a tool of analysis in this study. Results of the study found that the variables inflation, interest rate, and exchange rate either simultaneously is significant effect on stock price index. Either partially the inflation variable has a significant effect on stock price index, while the variable interest rate have a significant negative effect on the stock price index, and the exchange rate has a significant effect on the stock price index, inflation variable are the most dominany effect on stock price index on Indonesia Stock Exchange

scholarly journals The Influence of the World Gold Price, the Dow Jones Islamic Market, and the Composite Stock Price Index on the Jakarta Islamic Index for the 2014 - 2018 period

2021 ◽  
Vol 4 (1) ◽  
pp. 13
Author(s):  
Siti Chaerunisa Prastiani
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Price Index ◽  
Oil And Gas ◽  
Time Series Data ◽  
Research Output ◽  
Gold Price ◽  
Series Data ◽  
The World ◽  
Stock Price Index

This study aims to determine how much influence the variables of the World Gold Price and Stock Prices with proxies: Dow Jones Islamic Market (DJIM) stock prices, and the Composite Stock Price Index (IHSG), on the Jakarta Islamic Index (JII). This study uses a quantitative approach, namely data that is measured in a numerical scale, based on the 2014-2018 Time Series data relating to variables sourced from the Central Statistics Agency, the Indonesia Stock Exchange and the Directorate General of Oil and Gas. This research uses one of the SPSS Series. The variables in this study consist of World Gold Price (X1), Dow Jones Islamic Market (DJIM) (X2), Composite Stock Price Index (IHSG) (X3) against the Jakarta Islamic Index (JII) (Y). The purpose of this research is to know each variable partially or simultaneously from the variable World Gold Price, Dow Jones Islamic Market and the Jakarta Islamic Index. Research Output expected by an Accredited journal

scholarly journals PENGARUH INFLASI, BI RATE, DAN NILAI TUKAR RUPIAH TERHADAP PERUBAHAN INDEKS HARGA SAHAM.SEKTOR CONSUMER GOODS

2021 ◽  
Vol 4 (1) ◽  
pp. 51-63
Author(s):  
Diah Budi Pratiwi ◽  
Damayanti Damayanti ◽  
M. Iqbal Iqbal Harori
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Consumer Goods ◽  
Stock Price ◽  
Price Index ◽  
Time Series Data ◽  
Series Data ◽  
A Value ◽  
Stock Price Index ◽  
Positive Effect

This research aims to find out the macroeconomic influence of inflation, bi rate, and rupiah exchange rate on changes in the stock price index of consumer goods sector. The independent variables that used in this research are Inflation (X1), BI Rate (X1), and Rupiah Exchange Rate (X3) and Consumer Goods Sector Stock Price Index as dependent variable. The data in this research is a time series data that includes inflation, BI Rate, and Rupiah exchange rate data for the period 2016-2020. The samples in this research amounted to 60 samples that taken by using census sampling techniques. The data in this research was analyzed by using multiple linear regressions with simultaneous variable results of Inflation, BI rate, and Rupiah Exchange Rate significantly affecting changes in the Consumer Goods Sector Stock Price Index with a value of R Square is 0.382 or 38.2%. While the results partially show that variable inflation has a significant and positive effect, variable rupiah exchange rates has negatively affect on changes in the Stock Price Index of the Consumer Goods Sector. As for the variable BI Rate has no significant effect on changes in the Stock Price Index of the Consumer Goods Sector. ABSTRAK   Penelitian ini bertujuan untuk mengetahui pengaruh ekonomi makro inflasi, bi rate, dan nilai tukar rupiah terhadap perubahan indeks harga saham sektor consumer goods. Variabel bebas yang digunakan pada penelitian ini yaitu Inflasi (X1), BI Rate (X1), dan Nilai Tukar Rupiah (X3) serta Indeks Harga Saham Sektor Consumer Goods sebagai variabel terikat. Data pada penelitian ini merupakan data time series yang meliputi data Inflasi, BI Rate, dan Nilai Tukar Rupiah untuk periode tahun 2016-2020. Sampel pada penelitian ini berjumlah 60 sampel yang diambil dengan menggunakan teknik sampling sensus. Data pada penelitian ini dianalisis dengan menggunakan regresi linier berganda, dengan hasil secara simultan, variabel Inflasi, BI rate, dan Nilai Tukar Rupiah berpengaruh signifikan terhadap perubahan Indeks Harga Saham Sektor Consumer Goods. Secara parsial, variabel inflasi berpengaruh signifikan dan positif, serta variabel nilai tukar rupiah berpengaruh negatif terhadap perubahan Indeks Harga Saham Sektor Consumer Goods. Sedangkan untuk variabel BI Rate tidak berpengaruh secara signifikan terhadap perubahan Indeks Harga Saham Sektor Consumer Goods.

scholarly journals EFFECT OF BI RATE, INFLATION, EXCHANGE, AND THE DOW JONES AGAINST COMPOSITE STOCK PRICE INDEX (CSPI CASE STUDY IN 2009-2014)

2015 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Tuti Purwaningsih
Keyword(s):  
Exchange Rate ◽  
Stock Price ◽  
Price Index ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Analysis Tool ◽  
Significant Negative Effect ◽  
Negative Effect ◽  
Stock Price Index ◽  
The Exchange Rate

The purpose of this study was to determine the influence of the independent variables are indicated by the BI Rate, the rate of inflation, exchange rate and the Dow Jones Against Composite Stock Price Index. The analysis tool used is multiple linear regression using time series data is 2009-2014. In the model equations, Composite Stock Price Index is the dependent variable and the BI Rate, the rate of inflation, exchange rates as well as Dow Jones is the independent variable. Results of regression is that the variable BI Rate (X1) a significant negative effect on the Composite Stock Price Index, inflation (X2) significant negative effect on the Composite Stock Price Index, the exchange rate (X3) significant negative effect on Stock Price Index and Index Dow Jones (X3) positive and significant impact on the Composite Stock Price Index. The coefficient of determination (R2) is 0.970445, or 97%. This indicates that the BI Rate (X1), the rate of inflation (X2), the exchange rate (X3) and Dow Jones (X4) in explaining the dependent variable or dependent Composite Stock Price Index amounted to 97%, while the remaining 3% is explained by other variables outside the model that implicitly reflected in confounding variables.  Suggestions can meet of the results of this study are advised to look at the effect of other macroeconomic variables in detail which can affect and use other variables outside the monetary variables like social and political situation of a country. And also advised to conduct research using other approaches.

scholarly journals The Impact of the Covid-19 Pandemic on Stock Investment in the Indonesian Capital Market

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Maulana Majied Sumatrani Saragih ◽  
Sarman Sinaga ◽  
Faisal Faisal ◽  
Rico Nur Ilham ◽  
T Nurhaida
Keyword(s):  
Financial Services ◽  
Stock Price ◽  
Trading Volume ◽  
Price Index ◽  
Stock Exchange ◽  
Volume Data ◽  
Stock Trading ◽  
Stock Investment ◽  
Stock Price Index ◽  
The Impact

The COVID-19 pandemic has hit various sectors, including the stock market where many people are hesitant to invest in stocks. Many industries have been affected by Covid-19, where since March 2020 the Indonesia Stock Exchange Composite Stock Price Index (IHSG) has decreased because many investors sold their shares, but since the third week of May 2020 to early June 2020 has shown an increase indicating stock trading has begun to show improvement. This study aims to analyze which sector stocks are still able to survive during the COVID-19 pandemic, by using stock trading volume data, Composite Stock Price Index (IHSG), weekly and monthly market capitalization values with a sample of 20 stocks - the highest stocks. based on sales volume and transaction value on the Indonesian stock exchange for the period March 2020 to June 2020 obtained from the Financial Services Authority (OJK) weekly report and the Indonesia Stock Exchange (IDX) Monthly Report. The results show that during the COVID-19 pandemic, investors can still get benefits in investing in stocks if every decision made by these investors is supported by careful calculations.

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