scholarly journals EFFECT OF INFLATION, INTEREST RATE / BI RATE, AND RUPIAH EXCHANGE RATE ON INDONESIAN COMPOSITE INDEX (IDX) AT INDONESIAN STOCK EXCHANGE (ISE)

2018 ◽  
Vol 2 (01) ◽  
pp. 41
Author(s):  
Resista Vikaliana
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Capital Market ◽  
Stock Price ◽  
Structural Equation ◽  
Model Equation ◽  
Stock Exchange ◽  
Composite Index ◽  
Economic Resilience ◽  
Strategic Role

Capital market has a strategic role for strengthening the economic resilience of the country and as an alternative for profitable investment. Capital market has an important role in economics of the country due to the dual functions, economics function and finance. Capital market is a national driving force through its role as a source of financing for the company and alternative for investor to invest. In capital market, Indonesia important role as this index can be used as barometer on the economic health of the country. Macroeconomics factor is high inflation, interest rate, and depreciation of rupiah to dollar, could lower the stock price. The aim of this research is to study the effect of macro economy e.g. inflation, rupiah exchange rate, and interest rate on Indonesian Composite Index (IDX) at Indonesian Stock Exchange (ISE).Method of analysis is carried out using linear regression model equation. Data used in this study is secondary monthly data during the period of 2013-2016. Total number of 36 samples is used. The effect of inflation, interest rate / BI Rate and exchange rate to ISE on model equation is 41.61%. Correlation between variable inflation and interest rate / BI rate is 0.490 quite strong at the same direction. Correlation between inflation and exchange rate is -0,349 which is quite strong but not at the same direction. Correlation between interest rate and exchange rate is 1 which is very strong and at the same direction. From the calculation, calculated F < F table (1.825 < 8,92), which can be concluded that there is no linear correlation between inflation, interest rate / BI Rate and exchange rate to ISE. Structural equation is Y= -0.088 X1 -0.300 X2 + 0,165 X3 + Ɛ.

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 Faktor-Faktor Yang Mempengaruhi Indeks Harga Saham Gabungan

2019 ◽  
Vol 24 (1) ◽  
pp. 144
Author(s):  
Hendang Tanusdjaja, Augustpaosa Nariman
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Money Supply ◽  
Capital Market ◽  
Stock Price ◽  
Inflation Rate ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Financial Investment ◽  
The Capital Market

The growth of the stock market in Indonesia from the Composite Stock Price Index (CSPI) showed quite fantastic in the last ten years after experiencing a downturn in the 2008 global financial crisis. The stock investment in the capital market is not the only type of financial investment, there is another type, namely Indonesia Bank Certificate (SBI) and money market measured by exchange rates. This study aims to find out how the SBI interest rate, exchange rate, money supply (M2) and inflation affect the JCI in the 2011-2015 periods. By using SPSS V20, it was found that in the period of SBI interest rate, exchange rate, money supply (M2) and inflation rate had no effect on the CSPI. This is due to the level of return on the capital market is greater than the SBI interest rate and exchange rate difference, while the number of transactions on the Indonesia Stock Exchange is still dominated by foreign investors, M2 does not affect the CSPI, and they are generally traders rather than investors, thus the inflation rate affects the company's growth was slightly ignored.

scholarly journals Pengaruh Kurs, Suku Bunga, dan Dividen Pershare Terhadap Harga Saham Pada Sektor Perbankan yang Terdaftar di Bursa Efek Indonesia Tahun 2013– 2017

2018 ◽  
Vol 10 (1) ◽  
pp. 21-33
Author(s):  
Atika Riziqyani ◽  
Gunistiyo ◽  
Niken Wahyu C
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Interest Rate ◽  
Linear Regression ◽  
Stock Prices ◽  
Stock Price ◽  
Banking Sector ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Share Price

The effect of exchange rate, interest rate and dividend of share price on banking sector which is listed in Indonesia Stock Exchange year 2013-2017. Essay. Tegal: Faculty of Economics and Business Universitas Pancasakti Tegal,2018. The purpose of this study is to determine the ability of investors in considering stock prices in the banking sector in 2013-2017. Hypothesis in this research is 1) exchange rate effect on stock price. 2) interest rates affect the stock price. 3) dividend pershare effect on stock price. 4) exchange rate, interest rate and dividend pershare simultaneously affect the stock price. The population used in this study is a banking company that publishes stock prices listed on the Indonesia Stock Exchange in 2013-2017. The sample in this research are 21 banking companies. With technique of sampling using purposive sampling. The data in this research is quantitative data. Sources of data in this study are secondary sources obtained from the share price of an annual banking company published in Indonesia Stock Exchange period 2013-2017. Data collection techniques using documentation techniques. Data analysis method using descriptive statistic, classical assumption test, simple linear regression analysis, multiple linear regression analysis and coefficient of determination, then obtained the result of research that the exchange rate does not have a significant effect on stock prices, the interest rate does not significantly influence the stock price, against stock price, exchange rate, interest rate and dividend pershare have significant effect to stock price.

scholarly journals Analysis of Determinants of Stock Transaction Volume and Its Effect on the LQ45 Stock Price Index on IDX 2010-2020 Period

2021 ◽  
Author(s):  
Mohammad Noor Salim ◽  
Gabriel Anugrah Pratama
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Interest Rates ◽  
Stock Price ◽  
Linear Regression Analysis ◽  
Composite Index ◽  
Multiple Linear Regression Analysis ◽  
Stock Index ◽  
Company Performance ◽  
Dollar Exchange Rate

The LQ45 stock index is a stock index that concerns investors in monitoring the development of company performance that is included in the LQ45 index calculation. Several factors that can cause the movement of the LQ45 stock index include BI interest rates, exchange rates, and global stock exchanges such as the Shanghai Composite Index. The study was conducted to determine the effect of the BI interest rate, dollar exchange rate, yuan exchange rate and the Shanghai Composite Index (SSE) on the LQ45 stock index. The study was conducted using 121 samples consisting of monthly data for all variables from 2010 to 2020. Data analysis was performed using multiple linear regression analysis techniques. The results show the BI interest rate, dollar exchange rate, yuan exchange rate and Shanghai Composite index simultaneously have a significant effect on the LQ45 stock index. BI interest rate and yuan exchange rate partially have a significant effect on the LQ45 stock index. The dollar exchange rate and Shanghai Composite index have no significant effect on the LQ45 stock index. The BI interest rate, dollar exchange rate, yuan exchange rate and Shanghai Composite index simultaneously affect volume of transactions. Partially, BI interest rate, dollar exchange rate, yuan exchange rate have a significant effect on transaction volume, while Shanghai Composite index has no significant effect on transaction volume. Simultaneously, BI interest rate, dollar exchange rate, yuan exchange rate, and Shanghai Composite index have a significant effect on the LQ45 stock index with transaction volume as an intervening variable.

scholarly journals KOMPUTASI GUI-R UNTUK PEMODELAN REGRESI NONPARAMETRIK BIRESPON POLINOMIAL LOKAL PADA PENGARUH SUKU BUNGA BI TERHADAP INDEKS HARGA SAHAM GABUNGAN DAN KURS USD

2020 ◽  
Vol 9 (3) ◽  
pp. 292-305
Author(s):  
Rudi Saputro Setyo Purnomo ◽  
Suparti Suparti ◽  
Sudarno Sudarno
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Interest Rate ◽  
Capital Market ◽  
Stock Price ◽  
Percentage Error ◽  
Optimal Model ◽  
Important Indicator ◽  
Local Polynomial ◽  
The Mean

Economy is one of important indicator of development country. Capital market is one of important tool in economy. The development of the capital market in Indonesian can be seen based on the composite stock price index (CSPI). Other than capital market, international trade is an important tool in the economy. Existence of the international trade generates exchange rate, one of which is USD exchange rate. Exchange rate can be increased and weakened, so it’s stability needs to be maintained. One of the factor that can influence CSPI and USD exchange rate is the BI interest rate. To be able to predict the value of CSPI and USD exchange rate then do the birespon regression modelling because between CSPI and USD exchange rate there are relationship. The regression model approach  which used in this research is local polynomial. This approach has high adaptability with data. To make the modelling easier so this research arrange Graphycal User Interface (GUI) by using R software. The local polynomial birespon regression is applied to CSPI and USD exchange rate data based on BI interest rate by using GUI. The optimal modal is obtained by General Cross Validation (GCV) optimation. The optimal model is model by combination of sequences two and three, bandwidths 6 and 2,7, and local points 5,75 and 6. The value of R Square is 66,68% and the mean absolute percentage error (MAPE) is 4,0798%. This MAPE shows that the optimal model has very high accuration in prediction the data because this value of MAPE less than 10%.Keywords: CSPI, USD exchange rate, BI interest rate, birespon, local polynomial, GUI.

scholarly journals Finding Size Factor and Value Factor in Indonesia Stock Exchange

2018 ◽  
Vol 14 (7) ◽  
pp. 63
Author(s):  
Yudhistirangga Yudhistirangga ◽  
Hermanto Siregar ◽  
Trias Andati
Keyword(s):  
Capital Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Composite Index ◽  
Size Factor ◽  
Market Pricing ◽  
Book Value ◽  
Market Capitalization ◽  
Small Market ◽  
Gathering Data

This study conducted by gathering data from Indonesia Stock Exchange (IDX) with 2 specifics model, Capital Market Pricing Model (CAPM) and Fama French 3 Factors Model (FF3FM). These model was estimated by classify 557 stocks in Jakarta Composite Index (JCI) to 6 classes: S/L class is class with small size and low Book to Equity (BE) to Market Equity (ME), S/M class is class with small size and medium in BE/ME, S/H class is class with small size and high in BE/ME, otherwise B/L class is class with big size and low in BE/ME, B/M class is class with big size and medium in BE/ME, B/H class is class with big size and high in BE/ME. With F test, t test and classic assumption test, best class and best model were B/L class and FF3FM. The result was confirmed size factor and value factor in Indonesia Stock Exchange (IDX). Size factor are confirmed in 3 classes (S/M, S/H and B/L), and value factor are confirmed in 4 classes (S/M, S/H, B/L and B/H). Therefore, classes with size and value factor are S/M, S/H and B/L. With BE/ME is 1/PBV and PBV indicating the stock price relative to its book value, so in Indonesia Stock Exchange the size factor and value factor confirmed in market with small market capitalization with low to medium in stock price relative to its book value and market with big market capitalization with high stock price relative to its book value.

PENGARUH VOLATILITAS NILAI TUKAR, IDR-USD TERHADAP RETURN SAHAM DI BURSA EFEK INDONESIA: PENERAPAN MODEL GARCH

2019 ◽  
Vol 14 (2) ◽  
pp. 95
Author(s):  
Rahmadiva Dianitha Danial ◽  
Brady Rikumahu
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Granger Causality ◽  
Stock Price ◽  
Foreign Exchange Market ◽  
Stock Exchange ◽  
Composite Index ◽  
Granger Causality Test ◽  
Causality Test ◽  
Stock Market Returns

Penelitian ini bertujuan untuk menguji pengaruh  volatilitas return nilai Kurs IDR-USD terhadap volatilitas return pasar saham di Bursa Efek Indonesia. Dari pengambilan data sekunder dari 3 Januari 2012 hingga 29 September 2017 diperoleh data time series sebanyak 1404 hari. Data  dianalisis dengan model  GARCH dan Uji Granger Causality. Berdasarkan hasil permodelan GARCH(1,1), volatilitas kurs mempengaruhi volatilitas IHSG. Uji Granger Causality menunjukkan bahwa volatilitas kurs  dan IHSG memiliki hubungan yang kausal dua arah. Penelitian ini menunjukkan bahwa informasi kurs dapat memprediksikan kondisi harga indeks saham di pasar modal di periode hari berikutnya, begitupun sebaliknya. Prediksi tepat yang dilakukan oleh investor akan mengurangi risiko dan meningkatkan imbal hasil dalam berinvestasi jika pasar uang maupun pasar modal yang sedang bergejolak.  Kata Kunci: GARCH, Volatilitas, IHSG, Nilai Tukar ABSTRACT This study aims to examine the effect of the volatility of the return on the IDR-USD exchange rate toward  the volatility of stock market returns in the Indonesia Stock Exchange. From the data collection from 3 January 2012 until 29 September 2017 we obtained 1404 time series. Analyzing data, this study used  GARCH modeling and Granger Causality Test. The selected GARCH (1,1) modeling result shows that the volatility of exchange rate influences the volatility of Indonesian Composite Index.  Granger Causality test shows that the volatility of exchange rate and volatility of Indonesian Composite Index have two-way granger cause. This study indicates that exchange rate information can predict the condition of stock price index in capital market and movement of Indonesian Composite Index (ICI) can predict exchange rate movement in foreign exchange market. Appropriate predictions by investors will reduce the risk and increase the yield in investing if the money market and capital markets are fluctuating high. Keywords: GARCH, Volatility, ICI, Exchange Rate

scholarly journals PENGARUH INFLASI, SUKU BUNGA, DAN NILAI TUKAR RUPIAH TERHADAP INDEKS HARGA SAHAM GABUNGAN (IHSG) DI BURSA EFEK INDONESIA

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Siska Wahyuni Sukamto
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Price ◽  
Quantitative Research ◽  
Price Index ◽  
Stock Exchange ◽  
Economic Variable ◽  
Study Results ◽  
Negative Effect ◽  
Stock Price Index

This studi was conducted to determine the effect macro economic variable of inflation, interest rate, and exchange rate againts the stock price indeks on indonesia stock exchange, and look for variables that effect most dominant among the three variables in the stock price index. Type of research is quantitative research, using multiple regression analysis, F test, t test and standardized coefficient as a tool of analysis in this study. Results of the study found that the variables inflation, interest rate, and exchange rate either simultaneously is significant effect on stock price index. Either partially the inflation variable has a significant effect on stock price index, while the variable interest rate have a significant negative effect on the stock price index, and the exchange rate has a significant effect on the stock price index, inflation variable are the most dominany effect on stock price index on Indonesia Stock Exchange

scholarly journals The Effect of Inflation, Exchange Rate, BI Rate and Dow Jones Index to Indonesia Composite Index in Indonesia Stock Exchange on the Year 2013-2018

2021 ◽  
Vol 3 (3) ◽  
pp. 50-60
Author(s):  
Hasanudin
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Interest Rates ◽  
Structural Equation ◽  
Work Motivation ◽  
Stock Exchange ◽  
Composite Index ◽  
Equation Modeling ◽  
Jones Index ◽  
The Exchange Rate

The purpose of this study is to demonstrate the influence of inflation, currency exchange rates, SBI interest rates, and the Dow Jones index on the Jakarta Composite Index on the Indonesian Stock Exchange from 2013 to 2018. Methods of quantitative research utilizing Structural Equation Modeling (SEM) analytic techniques in conjunction with the use of SmartPLS 3. The findings of this study indicate that inflation has a substantial negative influence on the CSPI. This indicates that as inflation increases, the JCI decreases. The exchange rate has a substantial negative effect on the JCI. This demonstrates that the exchange rate variable has a direct effect on the direction of the high exchange rate, lowering the JCI in the process. The SBI interest rate has no effect on the JCI and is rather detrimental to it. This indicates that when the number of SBI interest rates increases, the CSPI remains same. The Dow Jones index has a sizable positive correlation with the CSPI. This indicates that the Dow Jones index's rise has an effect on the JCI. By a factor of 0.982, the Dow Jones Index has the greatest effect on work motivation, followed by inflation, exchange rates, and SBI interest rates on the IHSG on the 2013-2018 Stock Exchange.

scholarly journals Analysis of Determinants of Stock Transaction Volume and Its Effect on the LQ45 Stock Price Index on IDX 2010-2020 Period

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Mohammad Noor Salim ◽  
◽  
Gabriel Anugrah Pratama
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Interest Rates ◽  
Stock Price ◽  
Linear Regression Analysis ◽  
Composite Index ◽  
Multiple Linear Regression Analysis ◽  
Stock Index ◽  
Company Performance ◽  
Dollar Exchange Rate

The LQ45 stock index is a stock index that concerns investors in monitoring the development of company performance that is included in the LQ45 index calculation. Several factors that can cause the movement of the LQ45 stock index include BI interest rates, exchange rates, and global stock exchanges such as the Shanghai Composite Index. The study was conducted to determine the effect of the BI interest rate, dollar exchange rate, yuan exchange rate and the Shanghai Composite Index (SSE) on the LQ45 stock index. The study was conducted using 121 samples consisting of monthly data for all variables from 2010 to 2020. Data analysis was performed using multiple linear regression analysis techniques. The results show the BI interest rate, dollar exchange rate, yuan exchange rate and Shanghai Composite index simultaneously have a significant effect on the LQ45 stock index. BI interest rate and yuan exchange rate partially have a significant effect on the LQ45 stock index. The dollar exchange rate and Shanghai Composite index have no significant effect on the LQ45 stock index. The BI interest rate, dollar exchange rate, yuan exchange rate and Shanghai Composite index simultaneously affect volume of transactions. Partially, BI interest rate, dollar exchange rate, yuan exchange rate have a significant effect on transaction volume, while Shanghai Composite index has no significant effect on transaction volume. Simultaneously, BI interest rate, dollar exchange rate, yuan exchange rate, and Shanghai Composite index have a significant effect on the LQ45 stock index with transaction volume as an intervening variable.

Sign in / Sign up

Export Citation Format

Share Document