scholarly journals Inflation Effects and World Crude Oil Prices on Combined Stock Price Index (CSPI) in Indonesia Stock Exchange (IDX) of 2015–2018 Period

2020 ◽  
Author(s):  
Windi Novianti ◽  
Ajeng Perwati
Keyword(s):  
Crude Oil ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Oil Prices ◽  
Crude Oil Prices ◽  
Stock Price Index

scholarly journals Pengaruh inflasi, nilai tukar rupiah per dollar Amerika, harga minyak mentah dunia dan indeks harga saham gabungan terhadap harga emas di Indonesia

2020 ◽  
Vol 8 (2) ◽  
pp. 55-64
Author(s):  
Fadhel Kesarditama ◽  
Haryadi Haryadi ◽  
Yohanes Vyn Amzar
Keyword(s):  
Exchange Rate ◽  
Crude Oil ◽  
Stock Price ◽  
Price Index ◽  
Oil Prices ◽  
Gold Price ◽  
Positive Trend ◽  
Macroeconomic Variables ◽  
Crude Oil Prices ◽  
Stock Price Index

This study aims to analyze the trend of macroeconomic variables and gold prices in Indonesia and to determine the effect of macroeconomic variables on gold prices in Indonesia. This study uses a quantitative approach. The data used is secondary data from January 2014-December 2019. The analytical tools and techniques used are trend analysis with a linear trend approach and multiple linear regression models using the Ordinary Least Square method. The five research variables that were processed showed that there were differences in the direction of the data trend. Where the variables of Gold Price, Exchange Rate, and Composite Stock Price Index show a positive trend, while the variables of Inflation and World Crude Oil Prices show a negative trend. Furthermore, the variables of Exchange Rate, world Crude Oil Price, and Composite Stock Price Index show a positive and significant influence on the Gold Price in Indonesia. While the inflation variable shows a negative and significant effect on the Gold Price in Indonesia. Keywords: Inflation, foreign exchange,crude oil prices, idx composite and gold prices

scholarly journals KORELASI DINAMIS ANTARA PERGERAKAN HARGA MINYAK DUNIA DAN INDEKS HARGA SAHAM SEKTORAL DI BURSA EFEK INDONESIA

2020 ◽  
Vol 9 (3) ◽  
pp. 188
Author(s):  
Yunita Dewi Safitri ◽  
Robiyanto Robiyanto
Keyword(s):  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Secondary Data ◽  
Oil Prices ◽  
Dynamic Correlation ◽  
Analysis Technique ◽  
Static Approach ◽  
Stock Price Index ◽  
Autoregressive Conditional Heteroscedasticity

Changes in the situation that move very quickly on the commodity market have an impact on financial markets, one of which is the stock market in Indonesia. Therefore this study aims to examine the dynamic correlation between the movement of world oil prices and the Sectoral Stock Price Index listed on the Indonesia Stock Exchange (IDX). The data used is obtained from secondary data in the form of daily closing price data for world oil prices and Sectoral Stock Price Index from January 2017 to June 2020. The analysis technique used is Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroscedasticity (DCC-GARCH), due to previous studies mostly using a static approach. The results of this study show that the DCC-GARCH value between world oil prices (Brent and WTI) and Sectoral Stock Price Index tends to be very weak. A negative dynamic correlation was also found in the Consumer Goods Sector. This research can be a reference for investors who want to invest stocks in Indonesia by looking at the correlation between world oil prices and the Sectoral Stock Price Index.

scholarly journals Application of ARIMA-GARCH Model for Prediction of Indonesian Crude Oil Prices

2020 ◽  
Vol 1 (1) ◽  
pp. 25-33
Author(s):  
Sukono Sukono ◽  
Emah Suryamah ◽  
Fujika Novinta S
Keyword(s):  
Crude Oil ◽  
Stock Price ◽  
Price Index ◽  
Moving Average ◽  
Oil Prices ◽  
Garch Models ◽  
Crude Oil Price ◽  
Price Forecast ◽  
Crude Oil Prices ◽  
Auto Regressive

Crude oil is one of the most important energy commodities for various sectors. Changes in crude oil prices will have an impact on oil-related sectors, and even on the stock price index. Therefore, the prediction of crude oil prices needs to be done to avoid the future prices of these non-renewable natural resources to increase dramatically. In this paper, the prediction of crude oil prices is carried out using the Auto-Regressive Integrated Moving Average (ARIMA) and Generalized Auto-Regressive Conditional Heteroscedasticity (GARCH) models. The data used for forecasting are Indonesian Crude Price (ICP) crude oil data for the period January 2005 to November 2012. The results show that the data analyzed follows the ARIMA(1,2,1)-GARCH(0,3) model, and the crude oil price forecast for December 2012 is 105.5528 USD per barrel. The prediction results of crude oil prices are expected to be important information for all sectors related to crude oil.

scholarly journals Pengaruh Inflasi, Kurs, Suku Bunga, dan Harga Minyak Dunia Terhadap Indeks Harga Saham Industri Pertambangan di Bursa Efek Indonesia Periode 2012-2015

2019 ◽  
Vol 3 (1) ◽  
pp. 18
Author(s):  
Yulia Istia Ningsih ◽  
Muthmainnah Muthmainnah
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Mining Industry ◽  
Oil Prices ◽  
Independent Variables ◽  
Mining Companies ◽  
Stock Price Index

This study aims to determine how the influence of inflation, exchange rates, interest rates, and world oil prices on the mining industry stock price index in the period 2012-2015. The object in the 2012-2015 research period is mining companies on the Indonesia Stock Exchange. The population used in this study were 31 mining companies and was based on a purposive sampling method which produced a sample of 11 companies. The dependent variable is represented by the mining industry stock price index, while the independent variables in this study are inflation, exchange rates, interest rates, and world oil prices. Partially the results of this study indicate that during the 2012-2015 period the variable exchange rates and world oil prices affected the mining industry's stock price index, while inflation and interest rates did not affect the stock price index mining industry. Simultaneously shows the influence of independent variables on the mining industry stock price index.

scholarly journals Determinants of the Composite Stock Price Index (IHSG) on the Indonesia Stock Exchange

2021 ◽  
Vol 5 (1) ◽  
pp. 27-41
Author(s):  
Fuad Fuad ◽  
Imamudin Yuliadi
Keyword(s):  
Interest Rates ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Composite Index ◽  
Price Volatility ◽  
Oil Prices ◽  
Study Results ◽  
Essential Components ◽  
Stock Price Index

The stock market is one of the essential components of Indonesia's economy. As the market's improvement is quite acceptable nowadays, some macro variables affect stock price volatility. Therefore, research on the determinant of the Indonesian composite index is required. This study aims to determine the effect of world oil prices and macroeconomic variables on the Composite Stock Price Index. The variables used in this study are inflation, exchange rates, interest rates, and world oil prices. This study uses secondary data and time series from January 2015 to December 2019 to obtain 60 monthly data. The method used to examine the data is the Partial Adjustment Model (PAM) method using Eviews 7 and performs assumption tests. Based on the analysis that has been carried out, the study results found that the inflation and exchange rate variables have a negative and significant effect on the Indonesian Composite Stock Price Index. The interest rate and world oil price variables positively and significantly affect the Indonesian Composite Stock Price Index

scholarly journals STOCK PRICE INDEX (CSPI)IN INDONESIA STOCK EXCHANGE (IDX) PERIOD 2014-2018

2020 ◽  
Vol 1 (1) ◽  
pp. 40-53
Author(s):  
Said Djamaluddin ◽  
Riki Ardoni ◽  
Aty Herawati
Keyword(s):  
Exchange Rate ◽  
Crude Oil ◽  
Interest Rates ◽  
Stock Price ◽  
Price Index ◽  
Composite Index ◽  
Oil Prices ◽  
Dollar Exchange Rate ◽  
Jones Index ◽  
Stock Price Index

This study aims to determine the effect of the BI rate, the dollar exchange rate, the yuan exchange rate, the Dow Jones index, the Shanghai index and world oil prices on the composite stock price index (CSPI). The data used is the period from January 2014 to December 2018 with the multiple regression analysis method. The results showed that the BI rate, Dollar Exchange, Yuan Exchange, Dow Jones, SSE Composite Index and WTI were able to explain the 91.8% effect on CSPI and the remaining 8.2% explained by other variables not examined. T test results show that partially BI interest rates, the yuan and Shanghai exchange rates do not have a significant effect on CSPI. While the dollar exchange rate, Dow Jones Index and world crude oil prices have a significant influence on the composite stock price index (CSPI) with coefficients respectively - 0.41705, +0.21245 and -7.86373. The independent variable that has the most dominant influence on CSPI is Crude Oil (WTI).

scholarly journals ANALISIS DAMPAK HARGA MINYAK MENTAH DUNIA, TINGKAT SUKU BUNGA DAN KURS VALUTA ASING TERHADAP INDEKS HARGA SAHAM PERTAMBANGAN PERIODE 2014 – 2016

2020 ◽  
Vol 8 (2) ◽  
pp. 1-17
Author(s):  
Jessica Prania Suradi ◽  
Selly Eriska Marisa
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Foreign Exchange ◽  
Stock Price ◽  
Price Index ◽  
Oil Prices ◽  
Foreign Exchange Rates ◽  
Mining Sector ◽  
Crude Oil Prices ◽  
Stock Price Index

This study aims to look at the effect of world crude oil prices, interest rates, and foreign exchange rates on the mining sector stock price index for the 2014-2016 period. The research method used is descriptive statistical methods with quantitative research types. This study also uses analytical methods such as multiple regression analysis through t test and F test. Based on the F test (simultaneous) shows that world oil prices, interest rates, and foreign exchange rates affect simultaneously on the mining sector stock price index for the period 2014-2016 , while the t test (partial) shows that world crude oil prices a positive but not significant effect on the mining stock price index for the period 2014-2016, the interest rate has a negative effect and significant to the mining sector stock price index for the period 2014-2016, and the foreign exchange rate has a negative and significant effect on the price index mining sector shares in the 2014-2016 period.

scholarly journals Analisis Pengaruh Nilai Tukar Rupiah, Inflasi Dan Indeks Dow Jones Terhadap Indeks Harga Saham Gabungan (IHSG) Di Bursa Efek Indonesia (BEI)

KINDAI ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. 542-562
Author(s):  
Delila Putri Syarina
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Stock Price ◽  
Quantitative Method ◽  
Price Index ◽  
Stock Exchange ◽  
Sampling Techniques ◽  
Jones Index ◽  
Stock Price Index

Abstract: This study aims to study both partially and simultaneously, large, Analysis, Analysis, Value, Exchange, Inflation, and the Dow Jones Index Against the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange (BEI) and the dominant dominant variable on the Price Index Joint Stock (CSPI)).The method used in this study is a quantitative method and with a population of 10 (ten) years, samples were taken with census sampling techniques of 10 (ten) years per year-end period, research instruments using classical data assumptions - data used using regression linear multiple.The results of this study indicate that (1) Rupiah Exchange Rates, Inflation and the Dow Jones Index influence simultaneously on the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange (2) the Dow Jones Index is partially related to the Composite Stock Price Index (CSPI) in The Indonesian Stock Exchange, while the Rupiah Exchange Rate and Inflation are not partially on the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange (3) The dominant dominant variable on the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange is the Dow Jones Index..Keywords  : Rupiah Exchange Rate, Inflation, Dow Jones Index and Composite Stock Price Index (CSPI)   Abstrak: Penelitian ini bertujuan untuk mengetahui baik secara parsial dan simultan seberapa besar Analisis Pengaruh Nilai Tukar Rupiah, Inflasi Dan Indeks Dow Jones Terhadap Indeks Harga Saham Gabungan (IHSG) Di Bursa Efek Indonesia (BEI) serta variabel yang berpengaruh dominan terhadap Indeks Harga Saham Gabungan (IHSG). Metode yang digunakan dalam penelitian ini adalah metode kuantitatif dan dengan populasi sebanyak 10 (sepuluh) tahun, diambil sampel dengan teknik sampling sensus sebanyak 10 (sepuluh) tahun per periode akhir tahun, instrument penelitian uji asumsi klasik data – data diuji dengan menggunakan regresi linear berganda. Hasil penelitian ini menunjukkan bahwa (1) Nilai Tukar Rupiah, Inflasi dan Indeks Dow Jones berpengaruh secara simultan terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia (2) Indeks Dow Jones berpengaruh secara parsial terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia, sedangkan Nilai Tukar Rupiah dan Inflasi tidak berpengaruh secara parsial terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia (3) Variabel yang berpengaruh dominan terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia adalah Indeks Dow Jones. . Kata kunci :     Nilai Tukar Rupiah, Inflasi, Indeks Dow Jones dan Indeks Harga Saham Gabungan (IHSG).

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