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 Indeks Harga Saham ASEAN-5 Memediasi Hubungan dari The FED terhadap Kurs di ASEAN-5 pada Periode 2010-2019

2021 ◽  
Vol 5 (3) ◽  
pp. 243
Author(s):  
Yoshua Yoshua ◽  
Yanuar Yanuar
Keyword(s):  
Exchange Rate ◽  
Linear Regression ◽  
Exchange Rates ◽  
Stock Price ◽  
Price Index ◽  
Least Square ◽  
Simple Linear Regression ◽  
Ordinary Least Square ◽  
Stock Price Index ◽  
Quantitative Descriptive

The purpose of this study was to determine the effect of The FED on Exchange Rates in ASEAN-5 during the period 2010-2019, using the ASEAN-5 stock price index as a mediating variable. At the same time want to confirm the theory of Mundell-Fleming. The type of this research is quantitative descriptive. By using the Eviews 10 program with the method of ordinary least square (simple linear regression). The results of this study are in Indonesia, Malaysia, Philippines and Singapura, ASEAN-5 composite stock price index variable can mediate the influence of the FED on the exchange rate except Vietnam. Tujuan penelitian ini adalah untuk mengetahui pengaruh antara The FED terhadap Kurs di ASEAN-5 selama periode 2010-2019, dengan menggunakan indeks harga saham ASEAN-5 sebagai variabel mediasinya. Sekaligus ingin mengkonfirmasi teori Mundell-Fleming. Adapun jenis penelitian ini adalah deskriptif kuantitif. Adapun hasil pada penelitian ini adalah pada negara Indonesia, Malaysia, Filipina dan Singapura variabel indeks harga saham gabungan ASEAN-5 dapat memediasi pengaruh The FED terhadap Kurs kecuali Vietnam.

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 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 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%.

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.

scholarly journals Pengaruh PDB, Inflasi, Tingkat Suku Bunga dan Nilai Tukar Rupiah terhadap Indeks Harga Saham JAKPROP yang Terdaftar di Bursa Efek Indonesia

2019 ◽  
Vol 1 (1) ◽  
pp. 100
Author(s):  
Chendra Gunawan ◽  
Carunia Mulya Firdausy
Keyword(s):  
Exchange Rate ◽  
Real Estate ◽  
Interest Rates ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Least Square ◽  
Share Prices ◽  
Real Estate Sector ◽  
Stock Price Index

This research aims to find out and analyze the effects of variable GDP, Inflation, Interest rates, Exchange rate on share prices of listed property sector in Indonesia Stock Exchange. The object population in this study is a company incorporated in the listed Property & Real Estate Index sector (JAKPROP) in Indonesia Stock Exchange (BEI) from 2008 to 2017. This study uses Ordinary Least Square analysis to determine the effect of independent variables on the Property & Real Estate Index sector JAKPROP. Based on t test, GDP is significant, Inflation is not significant and BI Interest rate is significant effect, while the variable Exchange rate have a significant effect on property and Real Estate sector stock price index. Results simultaneously with the F test showed that all the independent variable significantly influenced on the stock price index Property & Real Estate sector. So, the result is the independen variable GDP, Bi-rate & Exchange-rate has an influence effect on the stock price index of listed Property & Real Estate sector JAKPROP in Indonesia Stock Exchange. 

scholarly journals PENGARUH RETURN INDEKS NASDAQ, INDEKS S&P DAN HARGA KUOTASI DOLAR TERHADAP TINGKAT RETURN SAHAM TELKOM

2021 ◽  
Vol 8 (1) ◽  
pp. 48
Author(s):  
Arif Surahman
Keyword(s):  
Significant Influence ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Composite Index ◽  
Stock Index ◽  
Accurate Analysis ◽  
Advanced Country ◽  
Dow Jones Industrial Average ◽  
Stock Price Index

ABSTRAK Investasi pada instrumen saham memerlukan analisa yang akurat untuk terhindar dari kerugian. Asmara dan Suarjaya (2018) berhasil menemukan bahwa indikator-indikator makro berpengaruh signifikan terhadap fluktuasi harga IHSG. Pergerakan indeks harga saham sebuah negara terpengaruh oleh kondisi makro perekonomian dari negara tersebut (Deitiana, Stella, 2009). Kondisi perekonomian  makro dari suatu negara saling pengaruh-mempengaruhi antara satu negara dengan negara lainnya, terutama apabila negara tersebut sudah sangat maju dan memiliki ekonomi yang kuat. Oleh karena itu, bisa diasumsikan bahwa Indeks Harga Saham Gabungan dari negara-negara yang sudah maju dapat turut mempengaruhi fluktuasi dari IHSG. Hal ini sebagaimana dibuktikan oleh hasil penelitian Tamara (2012) yang menemukan bahwa terdapat pengaruh yang signifikan antara Dow Jones Industrial Average, Shanghai Stock Exchange Composite Index dan Straits Times Index terhadap fluktuasi Indeks Harga Saham Gabungan. Penelitian sebelumnya yang dilakukan tahun 2019 oleh Deitiana dan Stella dengan menggunakan data harga penutupan mingguan dari Indeks Dow Jones, Nikkei 225, Kospi danShanghai Composite Index juga berhasil menemukan hubungan pengaruh yang signifikan baik secara simultan maupun parsial terhadap pergerakan IHSG.Penelitian ini menggunakan regresi linier sederhana untuk menyelidiki pengaruh indeks Nasdaq, S&P dan harga dari quotasi dolar terhadap Return saham Telkom. Hasil dari penelitian ini menemukan bahwa Indeks Nasdaq dan harga quotasi Dolar terhadap Rupiah dapat mempengaruhi tingkat imbal hasil saham Telkom secara signifikan dengan nilai signifikansi berada dibawah 5%. Kata Kunci: Return, Saham, Telkom, Nasdaq, S&P, Dolar.  ABSTRACT Investment in stocks recquire accurate analysis to avoid loss. Asmara and Suarjaya (2018) found that macro economic indicators of a country has a significant influence towards the fluctuations of IHSG prices. Deitana & Stella (2019) also found the same thing. The Macro Economic conditions of a country has a reciprocal influnces between a country and others. Because of that, it can be assumed that stock indexes from an advanced country can also influenced  the fluctuations of Indonesia's Stock Price Index. This assumption has been proven by the research which has been conducted by Tamara (2012)  which found that there is a significant influence between Dow Jones Industrial Average, Shanghai Stock Exchange Composite Index and Straits Times Index towards the fluctuations of Indonesia Stock Price Index (IHSG). Previous research that were conducted in 2019 by Deitiana and Stella by using weekly closing price of  Dow Jones Index, Nikkei 225, Kospi and Shanghai Composite Index also has found a significant connections either simultaneously nor partially to the movement of indonesia stock index prices. This research are conducted by using linier regression to investigate the influence of the return of  Nasdaq, S&P and Dollar to Rupiah quotations towards the Return of Telkom stock price. The results of this research concluded that Nasdaq Indices and Dolar price quotations towards Rupiah's can significantly influenced the return of telkom stock price with a confidence level that are below 5%. Keyword : Return, Stock, Telkom, Nasdaq, S&P, Dolar

scholarly journals Analysis of Stock Market Returns: Study of Consumer Goods Companies Listed on the Indonesia Stock Exchange

2020 ◽  
Vol 10 (3) ◽  
pp. 321-333
Author(s):  
Arie Pratania Putri ◽  
◽  
Jansen Hutagalung ◽  
Vivian Octavia ◽  
Carla Virginia ◽  
...  
Keyword(s):  
Consumer Goods ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Return ◽  
Price Index ◽  
Stock Exchange ◽  
Stock Market Returns ◽  
Stock Price Index ◽  
Consumer Goods Industry ◽  
The Individual

Stocks have the highest risk between other investment instruments, but with the right analysis, the high risk is proportional to the high return that can be obtained. Stock return analysis can be done using a basic approach, namely fundamental analysis and technical analysis. This study aims to examine the effect of the individual stock price index, past stock price, debt to equity ratio (DER), and net profit margin (NPM) in consumer goods industry companies listed on the Indonesia Stock Exchange 2015-2018. This study uses multiple regression analysis models. The population of this study consisted of 60 companies, and the research sample consisted of 27 companies with 108 consumer goods industry companies listed on the Indonesia Stock Exchange 2015-2018 periods. The results showed that individual stock price index, past stock price, DER, and NPM simultaneously have a significant effect on stock return. Partially individual stock price index and past stock prices have a significant effect on stock return. In contrast, DER and NPM have no significant effect on stock return in consumer goods industry companies listed on the Indonesia Stock Exchange in the 2015-2018 periods.

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