scholarly journals Pengaruh Berbagai Indeks Saham Asia terhadap Indeks Harga Saham Gabungan Tahun 2015-2019

2020 ◽  
Vol 2 (4) ◽  
pp. 1096
Author(s):  
Vincent Hartantio ◽  
Yusbardini Yusbardini
Keyword(s):  
Regression Analysis ◽  
Unit Root ◽  
Stock Price ◽  
Price Index ◽  
Composite Index ◽  
Unit Root Test ◽  
Kuala Lumpur ◽  
Monthly Data ◽  
Integration Test ◽  
Stock Price Index

The purpose of this study is to analyze the effect of Nikkei 225 Index, Strait Times Index, Kuala Lumpur Composite Index, Hang Seng Index and Korean Composite Stock Price Index against Jakarta Composite Index (JCI) during the observed period from 2015-2019. The analytical method used in this study are unit root test, classic assumption test ,co-integration test and multiple regression analysis performed with E-views 9.0. This research used monthly data from 2015 – 2019 for each variable. This research analyzing the influence of Nikkei 225 Index, Strait Times Index, Kuala Lumpur Composite Index, Hang Seng Index and Korean Composite Stock Price Index toward Jakarta Composite Index simultaneously and partially. The result of the study shows that simultaneously Nikkei 225 Index, Strait Times Index, Kuala Lumpur Composite Index, Hang Seng Index and Korean Composite Stock Price Index has significant effect on Jakarta Composite Index. Tujuan penelitian ini adalah untuk mengetahui pengaruh dari Indeks Nikkei 225, Strait Times Index, Kuala Lumpur Composite Index (KLCI), Indeks Hang Seng, Korean Composite Stock Price Index (KOSPI) terhadap Indeks Harga Saham Gabungan pada periode 2015-2019. Metode analisis yang digunakan dalam penelitian ini adalah uji akar unit, uji asumsi klasik, uji kointegrasi, dan uji analisis regresi berganda yang menggunakan program E-views 9.0. Penelitian ini menggunakan data bulanan pada periode tahun 2015-2019 untuk setiap variabelnya. Penelitian ini menganalisi pengaruh Indeks Nikkei 225, Strait Times Index, Kuala Lumpur Composite Index (KLCI), Indeks Hang Seng, Korean Composite Stock Price Index (KOSPI) terhadap Indeks Harga Saham Gabungan secara bersama-sama dan sebagian. Hasil dari penelitian ini menunjukan bahwa pengaruh Indeks Nikkei 225, Strait Times Index, Kuala Lumpur Composite Index (KLCI), Indeks Hang Seng, Korean Composite Stock Price Index (KOSPI) saling mempengaruhi secara signifikan.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

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).

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 Faktor-Faktor Yang Mempengaruhi Pergerakan Indeks Harga Saham Sektoral Pertanian di Bursa Efek Indonesia Periode 2014-2018

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Chikal Galih ◽  
Lies Sulistyowati
Keyword(s):  
Stock Price ◽  
Stock Return ◽  
Price Index ◽  
Composite Index ◽  
Least Square ◽  
Public Companies ◽  
Ordinary Least Square ◽  
Stock Investment ◽  
Index Stock ◽  
Stock Price Index

Indeks Harga Saham Gabungan (IHSG) adalah salah satu indikator perkembangan investasi saham di Indonesia, di mana ada indeks sektor yang mewakili perusahaan publik, salah satu indeks sektoral adalah Indeks Harga Saham Sektoral (IHSS) Pertanian. Fenomena yang terjadi pada periode 2014-2018 adalah tingkat pengembalian investasi di IHSS Pertanian menjadi yang terburuk dibandingkan dengan IHSG dan sektor lainnya sebesar -33,47%. Tujuan dari penelitian ini adalah untuk mengidentifikasi faktor-faktor yang mempengaruhi pergerakan IHSS Pertanian periode 2014 hingga 2018 secara bulanan. Analisis yang digunakan adalah analisis Ordinary Least Square (OLS) untuk mengidentifikasi faktor-faktor yang mempengaruhi pergerakan IHSS Pertanian. Hasil penelitian menunjukkan bahwa inflasi, nilai tukar USD/IDR, suku bunga bank sentral, IHSG, harga minyak kelapa sawit, dan harga emas berpengaruh signifikan terhadap pergerakan IHSS Pertanian dengan nilai pengaruh 88,6%.Kata Kunci: Indeks Harga Saham Sektoral Pertanian, Return Saham, Makroekonomi, Ordinary Least Square (OLS)AbstractJakarta Composite Index (IHSG) is an indicator of the development of stock investment in Indonesia, where there are indices of sectors that represent public companies, one of the sectoral indices is the Sectoral Stock Price Index (IHSS) of Agriculture. The phenomenon that occurred in the 2014-2018 period was the level of investment return in the IHSS of Agriculture being the worst compared to the IHSG and other sectors by -33.47%. The purpose of this study is to identify the factors that influence the movement of IHSS of Agriculture for the period of 2014 up to 2018 on monthly base. The analysis used is Ordinary Least Square (OLS) analysis to identify the factors that influence the movement of IHSS of Agriculture. The results showed that inflation, USD/IDR exchange rate, central bank interest rate, IHSG, palm oil prices, and gold prices significantly influence the movement of IHSS of Agriculture with an influence value of 88.6%. Keywords: Agricultural Sectoral Stock Price Index, Stock Return, Macroeconomics, Ordinary Least Square (OLS).

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 ANALISIS PENGARUH PERTUMBUHAN EKONOMI, INFLASI, SUKU BUNGA DAN HARGA MINYAK DUNIA TERHADAP INDEKS HARGA SAHAM GABUNGAN DI INDONESIA PERIODE TAHUN 2001-2017

2020 ◽  
pp. 10-21
Author(s):  
A. Mahendra
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Interest Rate ◽  
Multiple Regression Analysis ◽  
Stock Price ◽  
Price Index ◽  
Secondary Data ◽  
Oil Prices ◽  
Sampling Technique ◽  
Stock Price Index

This research is intended to know the influence of economic growth, inflation, interest rate and world oil prices variables to join stock price variable in Indonesia. Population in this research is Indonesia and 68 of them were selected to be the samples for this research through purposive sampling technique. Estimates conducted by the multiple regression analysis. The data that were used in this study were secondary data, consisted of Economic Growth, Inflation, Interest Rate and World Oil Prices to joint stock price index for the year 2001-2017. The results of this research, that Based on the partial test (t test), the Inflation variable has no significant effect while the Economic Growth, Interest Rateand World Oil Prices variables have a significant effect on the variables of the Joint Stock Price Index in Indonesia. But the simultan test (F test), economic growth, inflation, interest rate and world oil prices have a significant effect on the variables of the joint stock price index.

scholarly journals Analisa Korelasi Return Indeks – Indeks Saham terhadap Indeks Harga Saham Gabungan pada Bursa Efek Indonesia

2015 ◽  
Vol 6 (2) ◽  
pp. 330 ◽  
Author(s):  
Mulyono Mulyono
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Composite Index ◽  
Stock Index ◽  
Stock Trading ◽  
Close Relationship ◽  
Coefficient Corrélation ◽  
Stock Price Index

Stock market generally has the stock price index that measures the performance of stock trading, the Indonesia Stock Exchange has a stock price index that is widely known as Jakarta Composite Index (IHSG). During its development, the Indonesia Stock Exchange has many alternative indexes that measure the performance of stock trading. Research that is to be conducted on the correlation between return of the stock index listed in Indonesia Stock Exchange and return of Jakarta Composite Index. Return stock index listed on the Indonesia Stock Exchange, namely, LQ45 Index, Jakarta Islamic Index (JII), KOMPAS100 Index, BISNIS-27 Index, PEFINDO25 Index and SRI-KEHATI Index, has a close relationship with the return Jakarta Composite,Index which is a reflection of the movement of all existing stock in the market. Return of stocks index that have the highest coefficient correlation is KOMPAS100 In dex, which have return index coefficient correlation is 0.949, thus KOMPAS100 Index that consisting of 100 stocks, based on the results of the study can be used as an alternative investment to get a return that is at least equal or close to the yield given by Jakarta Composite Index(IHSG) that consists of 445 stocks

scholarly journals ARIMA Model Selection for Composite Stock Price Index in Indonesia Stock Exchange

2019 ◽  
Vol 2 (1) ◽  
pp. p31
Author(s):  
Zul Amry ◽  
Budi Halomoan Siregar
Keyword(s):  
Stock Price ◽  
Price Index ◽  
Mean Squared Error ◽  
Stock Exchange ◽  
Arima Model ◽  
Composite Index ◽  
Information Criterion ◽  
Absolute Error ◽  
Percentage Error ◽  
Stock Price Index

Composite Stock Price Index (CSPI) can be used as a reflection of the national economic condition of a country because it is an indicator to know the development the capital market in a country. Therefore, the movement in the future needs to be forecast. This study aims to build a model for the time series forecasting of Indonesia Composite Index (ICI) using the ARIMA model. The data used is the monthly data of ICI in Indonesia Stock Exchange (IDX) from January 2000 until December 2017 as many as 216 data. The method used in this research is the Box-Jenkins method. The autocorrelation (ACF) and partial autocorrelation function (PACF) are used for stationary test and model identification. The maximum estimated likelihood is used to estimate the parameter model. In addition, to select a model then used Akaike’s Information Criterion (AIC). Ljung-Box Q statistics are used for diagnostic tests. In addition, to show the accuracy of the model, we use Root Mean Squared Error (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) and the most appropriate model is ARIMA (0, 1, 1).

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%.

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