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 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 HE IMPACT OF INFLATION, CERTIFICATE OF BANK INDONESIA, AND EXCHANGE RATE OF IDR/USD ON THE INDONESIA COMPOSITE STOCK PRICE INDEX

2017 ◽  
Vol 1 (1) ◽  
pp. 42
Author(s):  
Margarita Ekadjaja ◽  
Daisy Dianasari
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Stock Price ◽  
Price Index ◽  
Inflation Rate ◽  
Stock Exchange ◽  
Monthly Data ◽  
Macroeconomic Variables ◽  
Research Population ◽  
Stock Price Index

This research is done with the aim to know whether some macroeconomic variables, which are inflation rate, certificate of Bank Indonesia (SBI) rate, and exchange rate of IDR/USD have an impact on the movement of the composite stock price index (IHSG) at the Indonesia stock exchange (BEI) partially and simultaneously in the period of 2006–2014. The research population is inflation rate, SBI rate, and exchange rate of IDR/USD. Data analysis in this research is multiple regression by using time series monthly data of 2006–2014. Research results show that partially inflation rate gives positive significant impact on IHSG, SBI rate has negative significant impact on IHSG, and exchange rate of IDR/USD has positive significant impact on IHSG.  Simultaneously it shows that inflation, SBI rate, and exchange rate of IDR/USD have an impact on IHSG at BEI to the period of year 2006 – 2014.  Those variables affect IHSG by 58,74%, while other variables affect IHSG by 41,26%.  That information can be used by investors to make decision on their investment.Keywords: inflation, SBI, exchange rate, IHSG, BEI.

scholarly journals Factors Affecting the Composite Stock Price Index during Covid-19 Pandemic Crisis

JEJAK ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 333-344
Author(s):  
Ariodillah Hidayat ◽  
Liliana Liliana ◽  
Sri Andaiyani
Keyword(s):  
Exchange Rate ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Oil Prices ◽  
Series Data ◽  
Factors Affecting ◽  
Independent Variables ◽  
The World ◽  
Stock Price Index

This paper aims to analyze factors affecting the Composite Stock Price Index (IHSG) on the Jakarta Stock Exchange (IDX) during the Pademi Corona Crisis. This study uses the multiple linear regression analysis technique where the variable number of confirmed Covid-19 cases in the world, the number of confirmed Covid-19 cases in Indonesia, the Rupiah exchange rate per 1 US dollar,  and the world crude oil price are used as independent variables (X) and the IHSG as the dependent variable (Y), the data used in this study are weekly time series data from the period December 2019 to September 2020. Based on the results of variable regression between the IHSG, Exchange Rates, Oil Prices, cases of COVID-19 in Indonesia and COVID-19 World, It is concluded that collectively the independent variables have a significant effect on the IHSG. Partially, Oil Prices, COVID-19 cases in Indonesia and COVID-19 cases in the world have a significant effect on the IHSG. Meanwhile, the exchange rate has no significant effect on the IHSG.

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 VARIABEL MAKROEKONOMI TERHADAP INDEKS HARGA SAHAM SYARIAH (STUDI KASUS DI INDONESIA DAN MALAYSIA)

2018 ◽  
Vol 9 (2) ◽  
Author(s):  
DESY TRISHARDIYANTI ADININGTYAS
Keyword(s):  
Exchange Rate ◽  
Crude Oil ◽  
Stock Price ◽  
Price Index ◽  
Gold Price ◽  
Oil Price ◽  
Crude Oil Price ◽  
Short Term ◽  
Correction Model

Abstract. The Effect of Macroeconomic Variables on Sharia Stock Price Index (Case Study in Indonesia and Malaysia). The purpose of this research is to know the effect of macroeconomic variables (inflation, exchange rate, world crude oil price and world gold price) on sharia stock price index in Indonesia and Malaysia. By using Error Correction Model as the method, this research utilizes time series monthly data from March 2015 until February 2018. The finding shows that in long-term, inflation in Indonesia, exchange rate of rupiah, world crude oil price and world gold price had significant effect on Jakarta Islamic Index. In short-term, inflation in Indonesia, world crude oil price, world gold price had not significant effect on Jakarta Islamic Index and exchange rate of rupiah had significant effect on Jakarta Islamic Index. Meanwhile, inflation in Malaysia, world crude oil price, world gold price had not significant effect on FTSE Bursa Malaysia Hijrah Syariah Index in long-term and short-term. And exchange rate of ringgit had significant effect on FTSE Bursa Malaysia Hijrah Syariah Index in long-term and short-term.   Abstrak. Pengaruh Variabel Makroekonomi Terhadap Indeks Harga Saham Syariah (Studi Kasus di Indonesia dan Malaysia). Tujuan dari penelitian ini adalah untuk mengetahui pengaruh variabel makroekonomi (inflasi, kurs, harga minyak mentah dunia dan harga emas dunia) terhadap indeks harga saham syariah di Indonesia dan Malaysia. Penelitian ini menggunakan metode Error Correction Model, dengan data time series bulanan dari Maret 2015 sampai dengan Februari 2018. Hasil penelitian ini menunjukan bahwa pada jangka panjang, inflasi Indonesia, kurs rupiah, harga minyak mentah dunia dan harga emas dunia berpengaruh terhadap Jakarta Islamic Index. Pada jangka pendek, inflasi Indonesia, harga minyak mentah dunia, harga emas dunia tidak berpengaruh terhadap Jakarta Islamic Index dan kurs rupiah berpengaruh terhadap Jakarta Islamic Index. Sementara itu, inflasi Malaysia, harga minyak mentah dunia, harga emas dunia tidak berpengaruh terhadap FTSE Bursa Malaysia Hijrah Syariah Index pada jangka panjang dan jangka pendek. Dan kurs ringgit berpengaruh terhadap FTSE Bursa Malaysia Hijrah Syariah Index pada jangka panjang dan jangka pendek.

scholarly journals PENGARUH VARIABEL MAKROEKONOMI TERHADAP INDEKS HARGA SAHAM GABUNGAN (IHSG)

Media Ekonomi ◽  
2019 ◽  
Vol 26 (1) ◽  
pp. 47
Author(s):  
Nency Megawati ◽  
M. Noor Salim
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Data Analysis ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Macroeconomic Variables ◽  
Jones Index ◽  
Stock Price Index

<em>This study aims to analyze the macroeconomic variables that affect the Composite Stock Price Index </em>(<em>CSPI)</em>. <em>Data analysis using multiple linear regression analysis with 32 stock samples during the period of Quarter I 2009 to Quarter IV 2016. <em>The results showed that the Exchange Rate and Dow Jones Index had a positive and significant effect on the Composite Stock Price Index (CSPI), Inflation and the BI Rate had no significant effect on the Composite Stock Price Index (CSPI).</em></em><em></em>

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