scholarly journals The Effect of USD/IDR Exchange Rate, Interest Rate, and World Oil Price To Jakarta Composite Index (JCI)

2019 ◽  
Vol 3 (2) ◽  
pp. 191
Author(s):  
Ummu Salma Al-Azizah ◽  
Yusdi Daulay ◽  
Naufal Krisnanto
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Interest Rate ◽  
Time Series Data ◽  
Stock Exchange ◽  
Composite Index ◽  
Oil Price ◽  
Series Data ◽  
Macroeconomic Variables ◽  
The Exchange Rate

This research aims to investigate effect of selected macroeconomic variables, i.e., USD/IDR exchange rate, interest rate, and world oil price to indonesia composite index at the indonesia stock exchange (IDX). This paper examine the direct effect of selected macroecomonic variable on Indonesia Composite Index. The study used time series data from the 2012-2017. By using an regression technique analysis, the result from showed that simultaneously the exchange rate, interest rate, and world oil price have a significant effect on Indonesia Composite Index. Partially, only the exchange rate has a significant effect on Indonesia Composite Index, interest rate and world oil price have no significant effect on Indonesia Composite Iindex. The amount of influece caused by the three variables is 58% and the rest is explained by other variables.

scholarly journals Pengaruh Variabel Makroekonomi Terhadap Indeks Harga Saham Gabungan (Studi pada Indeks Harga Saham Gabungan di Bursa Efek Indonesia Periode 2014-2018)

2019 ◽  
Vol 8 (2) ◽  
pp. 75
Author(s):  
Rina R. Mamahit ◽  
Tinneke M. Tumbel ◽  
Joanne V. Mangindaan
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Composite Index ◽  
Multiple Linear Regression Analysis ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Negative Effect ◽  
The Exchange Rate

This research aims to determine whether the macroeconomic variables i.e., the exchange rate, inflation and BI rate simultaneously and partially influence Indonesia Composite Index at The Indonesia Stock Exchange (IDX). The approach in this study is a quantitative method, using multiple linear regression analysis. The data used are time series data from January 2014 until December 2018. The result indicates that exchange rates, inflation and BI together have a significant impact to Indonesia Composite Index. Individually, only the BI rate variable has a significant effect and has a negative effect to Indonesia Composite Index. The exchange rate and inflation had no significant effect to Indonesia Composite Index.

scholarly journals Tegar Prasetya Analysis of Macroeconomic Influence Return on Assets Banking Study on Conventional Commercial Banks in Indonesia for the Year 2018–2020

2021 ◽  
Vol 6 (5) ◽  
pp. 268-275
Author(s):  
Tegar Prasetya ◽  
Hakiman Thamrin
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Commercial Banks ◽  
Time Series Data ◽  
Series Data ◽  
Analysis Tool ◽  
Return On Assets ◽  
Macroeconomic Variables ◽  
The Exchange Rate ◽  
The Interest Rate

This study aims to analyze the effect of macroeconomic variables on the return on banking assets. The data processing method used by the researcher is using the Vector Error Correction Model (VECM) as a data analysis tool and this study confirms that the extent to which it examines the positive and significant influence between macroeconomic variables on the return on banking assets. The data obtained is secondary data based on financial statements within a period of 3 years using monthly time series data. The results of this study indicate that there is a positive and significant effect on the exchange rate and CPI variables while it is negative and significant on the inflation, interest rate and IPI variables resulting from the long-term VECM estimation. While the results show that there is a positive and significant effect on the interest rate and CPI variables and a significant negative on the inflation variable, positive and insignificant on the exchange rate variable, negative and insignificant on the IPI variable on the ROA of the short-term VECM estimation results. The results of the measurement of the composition or contribution of the influence of the independent variable on the dependent variable show the interest rate variable with a value of 4.11% in the 10th period obtained through the results of the decomposition variance (VD) test on the return on assets (ROA) of banking studies at Conventional Commercial Banks in Indonesia.

scholarly journals IHSG dan Dinamikanya: Sebuah Analisis atas Pengaruh Variable Makroekonomi

2019 ◽  
Vol 1 (1) ◽  
pp. 21-40
Author(s):  
Michael Alexander Santoso ◽  
Apriani Dorkas Rambu Atahau ◽  
Robiyanto Robiyanto
Keyword(s):  
Crude Oil ◽  
Time Series Data ◽  
Stock Exchange ◽  
Composite Index ◽  
Oil Price ◽  
Series Data ◽  
Crude Oil Price ◽  
Macroeconomic Variables ◽  
Analysis Technique ◽  
Dow Jones Industrial Average

Purpose- This research aimed to study the effect of macroeconomic variables: Dow Jones Industrial Average, USD/IDR, and World Crude Oil Price towards Jakarta Composite Index (JCI) during the period of 2005-2016. Methods- This research using the daily closing prices of Dow Jones Industrial Average (JCI), USD/IDR, World Crude Oil Price, and Jakarta Composite Index, the GARCH (1,1) The data analysis technique used in this study is Generalized Autoregressive Conditional Heteroscedasticity (GARCH). The reason for choosing the GARCH analysis technique is that this study uses time series data which is often abnormal and cannot be normalized. Finding- Analysis show that Dow Jones Industrial Average and world crude oil price has a positive significant effect on the JCI while USD/IDR has a negative significant effect on JCI. Implication- The findings imply the importance to consider macroeconomic variables when investing at Jakarta Stock Exchange

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

scholarly journals Factors Affecting Kuala Lumpur Composite Index (KLCI) Stock Market Return in Malaysia

2016 ◽  
Vol 12 (1) ◽  
pp. 122 ◽  
Author(s):  
Uma Murthy ◽  
Paul Anthony ◽  
Rubana Vighnesvaran
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Money Supply ◽  
Composite Index ◽  
Oil Price ◽  
Series Data ◽  
Kuala Lumpur ◽  
Market Return ◽  
Stock Market Return

This paper studies the relationship between Kuala Lumpur Composite Index Stock Market Return with four macroeconomic determinants, namely interest rate, exchange rate, money supply and oil price from January 1997 to December 2015 on a monthly basis with a total of 228 observations. However, most of the studies are carried out in developed countries and large economic nations instead of in emerging markets such as Malaysia. Thus, this study aims to extend the existing studies to include the impact of several macroeconomics determinants namely interest rate, exchange rate, money supply and oil price on KLCI stock market return. This paper employed Multiple Linear Regression to examine the statistical relationship and to test the hypotheses. The data was analyzed using Statistical Package for Social Science, SPSS. For diagnostic checking, there is existence of autocorrelation problem which is typically found in time-series data.  Results indicated that there is negative relationship between exchange rate and stock market return and positive relationship between money supply and stock market return. Interest rate and oil price are found to have insignificant relationship with stock market return.

scholarly journals Analisis pengaruh keadaan ekonomi makro terhadap investasi Asuransi Jiwa Syariah di Indonesia tahun 2010 – 2019

2020 ◽  
pp. 37-53
Author(s):  
Khalish Khairina
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Significant Influence ◽  
Life Insurance ◽  
Time Series Data ◽  
Composite Index ◽  
T Test ◽  
Least Square ◽  
Series Data ◽  
Independent Variables

This study aims to analyze the effect of Inflation, Exchange Rate, BI Interest Rate, Indonesia Composite Index on Sharia Insurance Life in Indonesia.  Data used is time series data for 10 years (2010-2019) and analyzed by using Eviews 10. This research using quantitative descriptive method, and to analyze the effect of independent variables toward dependent variables using Ordinary Least Square technique. The result of t – test shows Inflation, Exchange Rate, Indonesia Composite Index have significant influence to Sharia Life Insurance Investment in Indonesia that t –test < 0,05 and Interest Rate doesn’t influence to Sharia Life Insurance Investment in Indonesia with t – test > 0,05. However, independent variables has a significant influence with the result of F test 0,000002 < 0,05 and Adjusted R-Squared test shows that 99,41 %  of Sharia Life Insurance Investment in Indonesia is influenced by independent variables in this research

scholarly journals Impact of Macro-Economic Variable on Pakistan Stock Exchange KSE-100 Index

2021 ◽  
Vol 2 (3) ◽  
pp. 17-23
Author(s):  
Muhammad Faisal Hassan ◽  
Hashim Bin Jusoh ◽  
Sajjad Khan ◽  
Fahad Ali Khan ◽  
Muhammad Naseem ◽  
...  
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Time Series Data ◽  
Positive Impact ◽  
Stock Exchange ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Short Run ◽  
The Impact ◽  
Adf Test

The researcher investigates the Impact of inflation, exchange rate and interest rate on Pakistan stock Exchange performance KSE-100 index by using monthly time series data which covers the period of 2013 to 2020. The econometrics techniques which are employed includes ADF test, Ordinary Least squares regression Model, testing for Multi-collinearity, Residual analysis serial correlation, testing for co-integration, Error correction model (ECM), variance decomposition (VAR) and Pair wise granger causality test. The results indicate that there is positive impact of exchange rate on PSX 100 index and the impact of inflation and interest rate is fond negative but inflation have insignificant relationship with PSX 100 index and the other two relationships are found significant. From the ECM result it is found that in short run 20% of the variation in dependent variable is due to inflation, exchange rate and interest rate and 80% variation is unexplained in short run. Form the results of VAR test it is concluded that exchange rate 1.67, inflation 14.25%, and interest rate 3.90% variation cause in PSX 100 index performance due to these three independent variables.

scholarly journals PENGARUH SUBSIDI BBM TERHADAP IMPOR MINYAK BUMI PERIODE 1980 – 2013

2017 ◽  
Vol 18 (1) ◽  
pp. 30
Author(s):  
Riwi Sumantyo ◽  
Puji Lestari
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Time Series Data ◽  
Data Use ◽  
Series Data ◽  
Foreign Exchange Reserves ◽  
Independent Variables ◽  
Fuel Subsidies ◽  
The Exchange Rate ◽  
The Government

The study on the effect of fuel subsidies toward oil import is a controversial topicdiscussions. This study will explore the effect of fuel subsidies on oil import by addingseveral independent variables, consist of; the number of vehichles, the exchange rateand inflation. Data use time series data from 1980-2013. The tool of analyze is OrdinaryLeast Squares Method (OLS).Based on the results show that the simultaneous testexplains that the fuel subsidies, the number of vehichles, the exchange rate, and inflationhave a significant effect on oil import. However partially, the variables of fuel subsidies,the number of vehichles, and the exchange rate have a positive and significant effecton oil import. Inflation does not affect on oil import. The coefficient of determinationuses Adjusted R-square test is about 98%. The implication of this study is governmentscan increase oil production Indonesia. The government should facilitate the licensing ofinvestment and rejuvenate the old oil wells. It aims to reduce Indonesia dependence onoil import so that it can save foreign exchange reserves.

PENGARUH INFLASI, TINGKAT SUKU BUNGA, KURS, HARGA MINYAK DUNIA DAN HARGA EMAS DUNIA TERHADAP IHSG DAN JII DI BURSA EFEK INDONESIA

2017 ◽  
Vol 2 (2) ◽  
pp. 285
Author(s):  
Umi Sartika
Keyword(s):  
Exchange Rate ◽  
Stock Exchange ◽  
Composite Index ◽  
Secondary Data ◽  
T Test ◽  
Gold Price ◽  
Oil Price ◽  
F Test ◽  
Closing Price ◽  
The Exchange Rate

ABSTRACT  The research aims to investigate empirically the influence of selected macroekonomic variables. The research design is associative. Independent variabel  are  inflation, Bank Indonesia certificate rate, the exchange rate of IDR, World Oil Price and World Gold Price on Indonesia Composite Index and Jakarta Islamic Index at The Indonesia Stock Exchange (IDX). This paper examines the direct effect of selected macroeconomic variabel on Indonesia Composite Index and Jakarta Islamic Index. The data is taken from the monthly closing price of each dependent and independent variables. The sampling method used in this study is the sample saturated and obtained a sample of 60 months of data closing price. The data used are secondary data collection methods of data documentation. The analysis which used in this research is multiple linier regression analysis, F test and t test. The result of calculations using Eviews 8, showed that: the result hypothesis F test, obtained value of Fcompute > Ftable, means that there is the influence of inflation, Bank Indonesia certificate rate, the exchange rate of IDR, World Oil Price and World Gold Price together on Indonesia Composite Index and Jakarta Islamic Index. While result of the hypothesis t test, showed that inflation, Bank Indonesia certificate rate, the exchange rate of IDR, World Oil Price and World Gold Price partially had not influence on Indonesia Composite Index and Jakarta Islamic Index

scholarly journals FAKTOR – FAKTOR YANG MEMPENGARUHI INVESTASI PEMERINTAH PADA SEKTOR PERTANIAN DI PROVINSI JAMBI

2017 ◽  
Vol 2 (2) ◽  
pp. 85
Author(s):  
Mulyani Mulyani
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Interest Rate ◽  
Linear Regression ◽  
Real Interest Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Series Data ◽  
Government Investment ◽  
Agriculture Sector

This research was conducted to analyse government investment in agriculture sector at Jambi Province. This research was held  on June - September 2017 by collecting data from several agencies. It used a time series data for 10 years (2006-2015).  This research  applied   multiple linear regression to  analyse the data. The results show that 95.9% of government investment in agriculture sector could  be  explained by  domestic  income variable, export-import growth of agriculture sector, real interest rate, rupiah exchange rate, previous government investment, and growth of agriculture sector. In fact the factors that had a significant effect were domestic  income variable, , export-import growth of agricultural sector, previous government investment and the growth of agriculture sector.Keywords: government investment, agricultural sector, growthPenelitian ini dilakukan untuk menganalisis investasi pemerintah pada sektor pertanian di Provinsi Jambi. Penelitian dilaksanakan di Provinsi Jambi dengan mengumpulkan data dari beberapa instansi terkait, yang dilaksanakan pada bulan Juni 2017 sampai September 2017. Dimana penelitian ini menggunakan data time series, dengan rentang waktu 10 tahun (2006-2015). Analisis data pada penelitian ini menggunakan regresi linear berganda. Hasil penelitian menunjukkan 95,9% penyerapan investasi pemerintah pada sektor pertanian dapat dijelaskan oleh variabel pendapatan asli daerah,pertumbuhan ekspor-impor sektor pertanian, tingkat suku bunga riil, nilai tukar rupiah, investasi pemerintah pada tahun sebelumnya, dan pertumbuhan sektor pertanian. Dari faktor-faktor tersebut yang berpengaruh signifikan adalah Pendapatan asli daerah, pertumbuhan ekspor impor sektor pertanian, investasi pemrintah pada tahun sebelumnya dan pertumbuhan sektor pertanian.Kata Kunci : investasi pemerintah, sektor Pertanian, pertumbuhan

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