scholarly journals Effects of the Dow Jones Index and Rupiah Exchange Rate on the 2013-2017 Composite Stock Price Index

2019 ◽  
Vol 2 (1) ◽  
pp. 362-368
Author(s):  
Amanah Amanah
Keyword(s):  
Exchange Rate ◽  
Stock Price ◽  
Price Index ◽  
Statistical Testing ◽  
P Value ◽  
Jones Index ◽  
Independent Variables ◽  
Stock Price Index ◽  
Weak Influence ◽  
Simultaneous Influence

This study aims to examine the effect of the Dow Jones Index (X1) with the Composite Stock Price Index (Y) in Indonesia and the influence between the rupiah exchange rate (X2) on the Composite Stock Price Index (Y) in Indonesia in the period 2013-2017. In statistical testing, the number 0.2212 was obtained related to the influence of X1 and Y, which means that every change in one unit of X1 can lead to changes in Y by 22 %, and means there is a weak influence between variables X1 and Y partially, while for the purpose of X2 and Y obtained the number 0.6531, which means that every change in unit X2 can result in a change in Y by 65 %, which means there is a high influence between variables X2 and Y partially. In the F test, P Value is generated 0.00000 <0.05, which means there is a simultaneous influence between the two independent variables on the dependent variable, while the Determination Coefficient results in R-Squared value of 0.975966, which means a set of predictor variables in the model can explain the response variable 97 %, while the rest is explained by other variables outside the model under study.  Penelitian ini bertujuan untuk menguji pengaruh Indeks Dow Jones (X1) dengan Indeks Harga Saham Gabungan (Y) di Indonesia dan pengaruh antara nilai tukar rupiah (X2) terhadap Indeks Harga Saham Gabungan (Y) di Indonesia pada periode 2013-2017. Dalam pengujian statistik, angka 0,2212 diperoleh terkait dengan pengaruh X1 dan Y, yang berarti bahwa setiap perubahan dalam satu unit X1 dapat menyebabkan perubahan Y sebesar 22%, dan berarti ada pengaruh yang lemah antara variabel X1 dan Y sebagian, sedangkan untuk keperluan X2 dan Y diperoleh angka 0,6531, yang berarti bahwa setiap perubahan dalam unit X2 dapat menghasilkan perubahan Y sebesar 65%, yang berarti ada pengaruh yang tinggi antara variabel X2 dan Y secara parsial. Dalam uji F, Nilai P dihasilkan 0,00000 <0,05, yang berarti ada pengaruh simultan antara dua variabel independen pada variabel dependen, sedangkan Koefisien Determinasi menghasilkan nilai R-Squared 0,975966, yang berarti satu set variabel prediktor dalam model dapat menjelaskan variabel respon 97%, sedangkan sisanya dijelaskan oleh variabel lain di luar model yang diteliti.

scholarly journals Pengaruh Perubahan Nilai Tukar Rupiah, Tingkat Inflasi, dan Indeks Bursa Internasional Terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia (BEI)

Jurnal Ecogen ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 7
Author(s):  
Keken Setiawan ◽  
Erly Mulyani
Keyword(s):  
Exchange Rate ◽  
Stock Price ◽  
Price Index ◽  
Inflation Rate ◽  
T Test ◽  
Series Data ◽  
Jones Index ◽  
Independent Variables ◽  
Negative Effect ◽  
Stock Price Index

This research aimed to know how the effect of Rupiah Exchange Rate, inflation rate, and international Exchange Index towards Composite Stock Price Index (CSPI). The independent variables of this study are Rupiah Exchange Rate (X1), Inflation rate (X2), Dow Jones index (X3), Nikkei 225 index (X4), and Hang Seng index (X5). The Sample was based on monthly time series data from January 2014 to December 2018, with documentation data collection technique from Bank Indonesia and Yahoofinance.com publication. Analytical techniques used were linier regression, classical Assumtions, determination coeffisient test (R2), for hypothesis test used F-test and t-test with significance level of 5%. The results of this indicate that the value of cooficient of determination (R2) 0,901 which means independent variables affect the dependent variable 89,2% and the rest is 10,8% influenced by other variables outside this study. The result of t-test shows that the Rupiah Exchange Rate and Nikkei 225 index have not significant and negative effect on Composite Stock Price Index (CSPI), Inflation rate have significant and negative effect on Composite Stock Price Index (CSPI), Dow Jones index and Hang Seng Index have significant and positive effect on Composite Stock Price Index (CSPI). Keywords: composite stock price index (cspi), rupiah exchange rate, inflation rate, dow jones index, nikkei 225 index, and hang seng index

scholarly journals Analisis Pengaruh Nilai Tukar Rupiah, Inflasi Dan Indeks Dow Jones Terhadap Indeks Harga Saham Gabungan (IHSG) Di Bursa Efek Indonesia (BEI)

KINDAI ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. 542-562
Author(s):  
Delila Putri Syarina
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Stock Price ◽  
Quantitative Method ◽  
Price Index ◽  
Stock Exchange ◽  
Sampling Techniques ◽  
Jones Index ◽  
Stock Price Index

Abstract: This study aims to study both partially and simultaneously, large, Analysis, Analysis, Value, Exchange, Inflation, and the Dow Jones Index Against the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange (BEI) and the dominant dominant variable on the Price Index Joint Stock (CSPI)).The method used in this study is a quantitative method and with a population of 10 (ten) years, samples were taken with census sampling techniques of 10 (ten) years per year-end period, research instruments using classical data assumptions - data used using regression linear multiple.The results of this study indicate that (1) Rupiah Exchange Rates, Inflation and the Dow Jones Index influence simultaneously on the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange (2) the Dow Jones Index is partially related to the Composite Stock Price Index (CSPI) in The Indonesian Stock Exchange, while the Rupiah Exchange Rate and Inflation are not partially on the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange (3) The dominant dominant variable on the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange is the Dow Jones Index..Keywords  : Rupiah Exchange Rate, Inflation, Dow Jones Index and Composite Stock Price Index (CSPI)   Abstrak: Penelitian ini bertujuan untuk mengetahui baik secara parsial dan simultan seberapa besar Analisis Pengaruh Nilai Tukar Rupiah, Inflasi Dan Indeks Dow Jones Terhadap Indeks Harga Saham Gabungan (IHSG) Di Bursa Efek Indonesia (BEI) serta variabel yang berpengaruh dominan terhadap Indeks Harga Saham Gabungan (IHSG). Metode yang digunakan dalam penelitian ini adalah metode kuantitatif dan dengan populasi sebanyak 10 (sepuluh) tahun, diambil sampel dengan teknik sampling sensus sebanyak 10 (sepuluh) tahun per periode akhir tahun, instrument penelitian uji asumsi klasik data – data diuji dengan menggunakan regresi linear berganda. Hasil penelitian ini menunjukkan bahwa (1) Nilai Tukar Rupiah, Inflasi dan Indeks Dow Jones berpengaruh secara simultan terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia (2) Indeks Dow Jones berpengaruh secara parsial terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia, sedangkan Nilai Tukar Rupiah dan Inflasi tidak berpengaruh secara parsial terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia (3) Variabel yang berpengaruh dominan terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia adalah Indeks Dow Jones. . Kata kunci :     Nilai Tukar Rupiah, Inflasi, Indeks Dow Jones dan Indeks Harga Saham Gabungan (IHSG).

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 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>

scholarly journals Performance Analysis of Indonesia’s Mining Sector Price Index

2017 ◽  
Vol 6 (2) ◽  
pp. 357-370
Author(s):  
Hastra Reza Satyatama ◽  
Riwi Sumantyo
Keyword(s):  
Exchange Rate ◽  
Stock Price ◽  
Price Index ◽  
Gold Price ◽  
Mining Sector ◽  
Correction Model ◽  
Monthly Data ◽  
Jones Index ◽  
Dow Jones Industrial Average ◽  
Stock Price Index

Subprime mortage’s crisis in United States 2008 giving effect to the global capital markets especially the stock price index of the mining sector Indonesia. This research analyzes the effect of BI Rate, exchange rate, world gold price, crude oil price, and Dow Jones Industrial Average on the stock price index of the mining sector. This research employs time series monthly data of 2009-2016 with Error Correction Model-Engle Granger (ECM-EG) as the method. The analysis showed that the BI rate, exchange rate and world gold price, has a negative and significant effect. World oil prices affect positively but not significant meanwhile the Dow Jones Industrial Average has a positive and significant impact on the stock price index of the mining sector. For investors in the mining sector, should pay attention to the exchange rate of the rupiah and Dow Jones Index significantly in the mining sector of the stock price index.DOI: 10.15408/sjie.v6i2.5395 

scholarly journals Effect of Rupiah Exchange Rate, GDP Growth, and Dow Jones Index on Composite Stock Price Index in Indonesia Stock Exchange

2018 ◽  
Vol 1 (01) ◽  
pp. 23-32
Author(s):  
Wiwik Handayani ◽  
Safitri Oktavia
Keyword(s):  
Exchange Rate ◽  
Capital Market ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Gdp Growth ◽  
Jones Index ◽  
Stock Price Index

  A capital market is a meeting place for stock sellers and buyers with the aim of getting maximum profits. To get these benefits, investors need information about the stock price index. Factors that influence the Stock Price Index are important information for investors. The composite stock price index (CSPI) is one of the main indicators that reflects the performance of the capital market whether it is experiencing an increase or is experiencing a decline. These factors include the rupiah exchange rate, GDP growth, and the Dow Jones index. This study aims to prove and analyze the effect of the rupiah exchange rate, GDP growth, and the Dow Jones index Average (DJIA) on the composite stock price index on the Indonesia stock exchange for the period 2012-2015. The population and sample of this study are forty-eight CSPI data from the Indonesia Stock Exchange. Data is collected by means of documentation and then analyzed. The data analysis technique used in this study is multiple linear regression analysis techniques. Based on the results of the analysis it is known that the rupiah exchange rate has no effect on the Composite Stock Price Index (CSPI). While GDP growth and the Dow Jones index Average (DJIA) have affected the Composite Stock Price Index (CSPI). For further research, it is considered necessary to review other factors that can influence the movement of the stock price index, for example, the company's fundamental factors such as profit, loss, financial ratios, and others. Keywords: Exchange Rate, GDP Growth, The Dow Jones (DJIA), Composite Stock Price Index (CSPI).

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).

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).

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