scholarly journals Pengaruh Inflasi, Suku Bunga Sbi Dan Jumlah Uang Beredar Terhadap Indeks Harga Saham Gabungan (IHSG) Dengan Model Arch-Garch

2021 ◽  
Vol 3 (3) ◽  
pp. 688
Author(s):  
Ernest Theodore Febrianto Sitompul ◽  
Ignatius Roni Setyawan
Keyword(s):  
Interest Rates ◽  
Money Supply ◽  
Stock Price ◽  
Price Index ◽  
Hypothesis Test ◽  
Composite Index ◽  
Garch Model ◽  
Coefficient Of Determination ◽  
Analysis Method ◽  
Stock Price Index

The purpose of this study was to determine the effect of inflation, interest rates certificates of Bank Indonesia and the money supply on the composite stock price index (CSPI) with the Arch-Garch model. The analytical method used in this study is multiple regression analysis method with the Arch-Garch model which was carried out with Eviews 9.0. One of the requirements for conducting multiple analysis tests is to test the classical assumptions. This is necessary so that the resulting regression equation is good. Then test the hypothesis, test the coefficient of determination and z test. The results of this study indicate that the Inflation variable has an effect on the Jakarta Composite Index (JCI) in the period January 2014 – December 2018. The interest rates certificates of Bank Indonesia an effect on the Jakarta Composite Index (JCI) in the period January 2014 – December 2018. The Money Supply has an effect. against the Composite Stock Price Index (JCI) in the period January 2014 – December 2018.Tujuan dari penelitian ini adalah untuk mengetahui pengaruh inflasi, suku bunga SBI dan jumlah uang beredar teradap indeks harga saham gabungan (IHSG) dengan model Arch-Garch. Metode analisis yang digunakan dalam penelitian ini adalah metode analisis regresi berganda dengan model Arch-Garch yang dilakukan dengan Eviews 9.0. Salah satu syarat untuk melakukan uji analisis berganda perlu dilakukan uji asumsi klasik. Hal ini diperlukan agar persamaan regresi yang dihasilkan baik. Kemudian dilakukan uji hipotesis, uji koefisien determinasi dan uji z. Hasil dari penelitian ini menunjukkan bahwa variable Inflasi berpengaruh terhadap Indeks Harga Saham Gabungan (IHSG) pada periode Januari 2014 – Desember 2018. Suku Bunga SBI memiliki pengaruh terhadap Indeks Harga Saham Gabungan (IHSG) pada periode Januari 2014 – Desember 2018. Jumlah Uang Beredar berpengaruh terhadap Indeks Harga Saham Gabungan (IHSG) pada periode Januari 2014 – Desember 2018.

scholarly journals FAKTOR MAKRO EKONOMI DAN INDEKS HARGA SAHAM GABUNGAN

2017 ◽  
Vol 16 (1) ◽  
pp. 1
Author(s):  
Rohmad Fuad Armansyah
Keyword(s):  
Interest Rates ◽  
Money Supply ◽  
Capital Market ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Composite Index ◽  
Stock Price Index ◽  
The Interest Rate ◽  
The Capital Market

ABSTRACTrequired in the economic development of a country. Indonesia’s capital markets that began operating government took steps to make the capital market as a distributor of funds and investments equivalentto bank and non-bank institutions. Stock price of the capital market are closely related to several factors, which may consist of a factor derived from the company’s internal and external. This study tried to examine the factors that affect stock price index focuses on macro economic factors. In this study the authors wanted to determine the effect of the money supply, interest rates on deposits, and dollar exchange rates simultaneously and partially on the Composite Index in Indonesian capital market. Besides that, the authors also wanted to know that among the factors mentioned above, there are some factors dominantly affecting the Composite Stock Price Index. The approach used in this study is quantitative approach, because the existing data in the form of numbers are arranged in a list. The analysis method used in this study is the method of statistical analysis by multiple linear regression using SPSS version 16. Population and sample used in this study are all companies listed on the Indonesian stock exchange by looking at the composite stock price index. The results of this study indicate that the interest rate of deposits, money supply, and the dollar exchange rate which  change and development of the Composite Stock Price Index and the money supply, are dominant Composite Stock Price Index.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI INDEKS HARGA SAHAM GABUNGAN DI BURSA EFEK INDONESIA PERIODE

2020 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Dwi Purwaningsih ◽  
Tina Sulistiyani
Keyword(s):  
Interest Rates ◽  
Money Supply ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Analysis Tool ◽  
Stock Price Index

This study aims to determine the effect of the money supply, inflation, and SBI interest rates partially and simultaneously on the composite stock price index on the Indonesia Stock Exchange (BEI) in 2012-2014, the type of data and data sources used in this study are data secondary data from the Bank Indonesia Annual Report, the Indonesian Ministry of Trade Institute, and Exchange Corner Financial Data. To analyze the data of this study used a multiple linear regression analysis tool that aims to determine the effect of the money supply, inflation, and SBI interest rates on the Composite Stock Price Index using SPSS statistical tools. Based on this research, the research method used in the first hypothesis is the Statistical t test and the second is the Statistical F test. Based on the results of this study indicate that the variable Money Supply has a significant effect on the Composite Stock Price Index. For the inflation variable does not have a significant effect on the Composite Stock Price Index. And the SBI Interest Rate variable has a significant effect on the Composite Stock Price Index. Together these three independent variables (Amount of Money Supply, Inflation, SBI Interest Rates) have a significant influence on the dependent variable (Composite Stock Price Index).

scholarly journals The Effects of Inflation, Interest Rates and Exchange Rates on Composite Stock Price Index During the Covid-19 Pandemic

2021 ◽  
Vol 5 (2) ◽  
pp. 77-85
Author(s):  
Ifa Nurmasari ◽  
Siti Nur'aidawati
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Stock Price ◽  
Research Method ◽  
Price Index ◽  
Hypothesis Test ◽  
Secondary Data ◽  
The World ◽  
Stock Price Index ◽  
Quantitative Descriptive

The COVID-19 pandemic that hit Indonesia and even the world, caused changes in various sectors and decline in the Indonesian economy. To improve the economy, it is necessary to increase investment. This research aims to find out how the influence of inflation, bank interest rates and currency rates on Composite Stock Price Index both partially and simultaneously at the time of the covid-19 pandemic. The research method used in this study is quantitative descriptive, which discusses the problems faced that describe the state of a country expressed in numbers. The data used in this study is secondary data. It was taken during the covid-19 period from March 2020 to July 2021. The analytical methods are used multiple linear regression, classical assumption test, hypothesis test, and determination coefficient test. The novelty of this research is to use macroeconomic data during the COVID-19 pandemic. The results showed that simultaneously, inflation, bank interest rates, and currency rates had a significant effect on Composite Stock Price Index. Inflation, bank interest rates, and currency rates exert a 94.9% effect on Composite Stock Price Index. The remaining 5.1% was affected by other factors not used in the study. Partially, inflation is positive and significant to Composite Stock Price Index. Bank interest rates and currency rates negatively and significantly affect Composite Stock Price Index.  

scholarly journals PENGARUH NILAI TUKAR, TINGKAT BUNGA, INFLASI, DAN JUMLAH UANG BEREDAR TERHADAP INDEKS HARGA SAHAM SEKTOR KEUANGAN DI BURSA EFEK INDONESIA (BEI) (Studi Kasus pada Indek Harga Saham Sektor Keuangan Di BEI)

2018 ◽  
Vol 5 (2) ◽  
pp. 1-19
Author(s):  
Amna Mawardi
Keyword(s):  
Stock Market ◽  
Interest Rates ◽  
Money Supply ◽  
Stock Price ◽  
Price Index ◽  
Financial Sector ◽  
Stock Market Index ◽  
Market Index ◽  
Us Dollar ◽  
Stock Price Index

In the midst of uncertain economic condition, nowadays people tend to secure the potential assests they have, and think how to take advantage of the assets they have in order to keep it high in value for a long period of time. One of the way is by invest in the form of securities traded in the capital market. That is why every investor in the capital market urgently require a relevant informations on trend of transactions as reference in making investment decisions. One of the required information is stock market index. The purpose of this study is to examine the effect 0f macro economic indicators, US Dollar exchange rate, interest rate, inflation rate, and money supply on stock market index in Indonesia Stock Exchange (IDX). The method used in this research is using multiple linear regression. Data obtained from SEKI -  Bank Indonesia (Economic and Financial Statistics - Central Bank of The Republic of Indonesia) and  IDX (Indonesia Stock Exchange), in the form of secondary data of monthly period in year 2011 – 2015, collected by documentation techniniques. The results showed that partially variable of US Dollar exchange rates, interest rates, inflation rates, and money supply have no effect on the stock price index of financial sector. Whereas universally interest rates have a significant positive effect on the stock price index of financial sector. Over all simultaneously US Dollar exchange rates, interest rates, inflation rates, and money supply have an effect on the stock price index of financial sector.   Keywords: exchange rate, interest rate, inflation rate, money supply, and stock market index.

scholarly journals ANALISIS PENGARUH TINGKAT INFLASI, TINGKAT SUKU BUNGA, DAN NILAI TUKAR TERHADAP INDEKS HARGA SAHAM GABUNGAN (IHSG) DI BURSA EFEK INDONESIA (BEI) PERIODE 2013-2015

2020 ◽  
Vol 6 (2) ◽  
pp. 121
Author(s):  
Daniar Primavistanti ◽  
Aftoni Sutanto
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Exchange Rates ◽  
Interest Rates ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Composite Index ◽  
Inflation Rates ◽  
Stock Price Index

This research aimed to analyze and test the effect of inflation rates, interest rate and exchange rate  on the stok price index  at the stock exchange in 2013–2015. Independent variable used are inflation, interest rates, and exchange rates. While the dependent variable is the stock price index. The object of this research  is in the market listed  on the stock price index. The  inflation  rates, interest rates,  and  the  exchange  rate that  are  taken  from Indonesian Bank. The  analytical  method used is the classic assumption test and regression test. Based  on  the  survey  result revealed  that in partial  inflation and the exchange  rate does not  significantaly  influence the Stock  Exchange  Composite Index. While the variable interest rate significantly influence the Stock Exchange Composite Index. The test results simultaneosly show variable inflation, interest rates and exchange rates have an influence on the Stock Exchange  Composite Index. The coefficient of determination was 28,3%.

scholarly journals Estimasi permintaan indeks harga saham gabungan di Indonesia

2020 ◽  
Vol 8 (2) ◽  
pp. 65-76
Author(s):  
Ade Nugraha Paer ◽  
Syamsurijal Tan ◽  
Emilia Emilia
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Money Supply ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Least Square ◽  
Stock Price Index ◽  
The Exchange Rate ◽  
Index Exchange

The purpose of this study is (a) to see the development of the composite stock price index, exchange rate, inflation, interest rates, and the money supply in Indonesia. (b) analyze the effect of the exchange rate, inflation, interest rate, and money supply on the composite stock price index in Indonesia. The method used in this study is a quantitative descriptive method with multiple linear regression analysis tools using the Ordinary Least Square (OLS) method. The data used is in the form of a time series. The results of this study average the development of the composite stock price index by 0.22 percent, the exchange rate by 2.57 percent, inflation by -0.90 percent, interest rates by -2.73 percent, and the Money Supply by 0.06 percent. Based on the results of the analysis conducted, exchange rates and interest rates have a negative and significant effect on the composite stock price index, inflation and the money supply have a positive and significant effect on the composite stock price index. Keywords: Composite stock price index, Exchange rate, Inflation, Interest rates, Money supply.

Kajian Ekspor Impor dan Variabel Makro Ekonomi terhadap Pergerakan Harga Saham Pertanian

2021 ◽  
Vol 18 (2) ◽  
pp. 114-127
Author(s):  
Irianto Irianto ◽  
Baiq Kisnawati ◽  
Istiarto Istiarto ◽  
Zulkarnaen Zulkarnaen
Keyword(s):  
Interest Rates ◽  
Stock Price ◽  
Price Index ◽  
Agricultural Sector ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Coefficient Of Determination ◽  
Insignificant Effect ◽  
Negative Effect ◽  
Stock Price Index

This study aims to examine the effect of exports, imports and macroeconomic variables on the movement of the stock price index of the agricultural sector listed on the Indonesia Stock Exchange. The sampling technique used was a saturated sample. The research data were secondary data for the 2000-2019 observation period. Data were analyzed using Multiple Linear Regression with SPSS application. Hypothesis testing was carried out by t-test for partial testing and testing the coefficient of determination. The results showed that partially the export variable had a positive and insignificant effect, imports had a positive and insignificant effect, the rupiah exchange rate had an insignificant negative effect, inflation had a non-significant positive effect, and bank interest rates had an insignificant negative effect on the stock price index of the agricultural sector. The ability of the independent variable is only able to explain 50.60% of the stock price of the agricultural sector, the remaining 49.40% is influenced by other variables outside the model. This means that the variables studied in this study are not sufficient to explain the dependent variable, so that potential investors are strongly encouraged to consider other variables before making investment decisions

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).

MODELING THE INTERACTIONS OF STOCK PRICE AND EXCHANGE RATE IN MALAYSIA

2009 ◽  
Vol 54 (04) ◽  
pp. 605-619 ◽  
Author(s):  
MOHD TAHIR ISMAIL ◽  
ZAIDI BIN ISA
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Stock Prices ◽  
Stock Price ◽  
Price Index ◽  
Composite Index ◽  
Regime Shifts ◽  
Var Model ◽  
Vector Autoregressive ◽  
Stock Price Index

After the East Asian crisis in 1997, the issue of whether stock prices and exchange rates are related or not have received much attention. This is due to realization that during the crisis the countries affected saw turmoil in both their currencies and stock markets. This paper studies the non-linear interactions between stock price and exchange rate in Malaysia using a two regimes multivariate Markov switching vector autoregression (MS-VAR) model with regime shifts in both the mean and the variance. In the study, the Kuala Lumpur Composite Index (KLCI) and the exchange rates of Malaysia ringgit against four other countries namely the Singapore dollar, the Japanese yen, the British pound sterling and the Australian dollar between 1990 and 2005 are used. The empirical results show that all the series are not cointegrated but the MS-VAR model with two regimes manage to detect common regime shifts behavior in all the series. The estimated MS-VAR model reveals that as the stock price index falls the exchange rates depreciate and when the stock price index gains the exchange rates appreciate. In addition, the MS-VAR model fitted the data better than the linear vector autoregressive model (VAR).

Sign in / Sign up

Export Citation Format

Share Document