scholarly journals Causality test between exchange rate, inflation rate and Stock Price Index in Southeast Asia

2016 ◽  
Vol 2 (2) ◽  
Keyword(s):  
Exchange Rate ◽  
Southeast Asia ◽  
Stock Price ◽  
Price Index ◽  
Inflation Rate ◽  
Causality Test ◽  
Stock Price Index

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 The Influence of The Inflation Rate and The Interest Rate of Bank Indonesia Certificates on The Composite Stock Price Index With The Us Dollar Exchange Rate As A Moderating Variable on The Indonesia Stock Exchange

2020 ◽  
Vol 3 (3) ◽  
pp. 212
Author(s):  
Dwi Septiani
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Price ◽  
Price Index ◽  
Inflation Rate ◽  
Dollar Exchange Rate ◽  
The Us ◽  
Us Dollar ◽  
Stock Price Index ◽  
The Interest Rate

This study aims to determine how the influence of the inflation rate and the interest rate of Bank Indonesia Certificates (SBI) on the Composite Stock Price Index (IHSG) with the US dollar exchange rate as a moderating variable on the Indonesia Stock Exchange 2007-2016. The data of this research consists of inflation rate reports, Bank Indonesia Certificate interest rate reports, US dollar exchange rate reports and reports on the Composite Stock Price Index for 120 (one hundred and twenty) months, starting from 2007 to 2016. Methods The research used in this research is associative research with quantitative data analysis. Data calculation was performed by using multiple regression analysis of the relationship, t test, F test and the coefficient of determination R2. Meanwhile, to test the moderating variable using the interaction test. The inflation rate variable (X1) and the interest rate for Bank Indonesia Certificates (SBI) (X2) with the US dollar exchange rate (X3) as the moderating variable simultaneously have a positive and insignificant effect on the Composite Stock Price Index (IHSG) (Y) on the Stock Exchange. Indonesia 2007-2016. The coefficient of determination of 0.596065 means it is known that the influence of the inflation rate variable (X1) and the interest rate for Bank Indonesia Certificate (SBI) (X2) with the US dollar exchange rate (Z) as the moderating variable is 59.61% while the rest 40.39% is explained by other variables that are not explained and examined in this study. Keywords: Inflation Rate, Bank Indonesia Certificate Interest Rate, US Dollar Exchange Rate and Composite Stock Price Index

scholarly journals THE INFLUENCE OF INFLATION RATE, BI RATE, AND EXCHANGE RATE CHANGES TO THE FINANCIAL SECTOR STOCK PRICE INDEX RETURN IN THE INDONESIAN STOCK MARKET

2018 ◽  
Vol 20 (2) ◽  
Author(s):  
Yunita Yunita ◽  
Robiyanto Robiyanto
Keyword(s):  
Exchange Rate ◽  
Stock Price ◽  
Price Index ◽  
Inflation Rate ◽  
Financial Sector ◽  
Analysis Method ◽  
Macroeconomic Factors ◽  
Stock Price Index ◽  
Exchange Rate Changes ◽  
Autoregressive Conditional Heteroscedasticity

The objective of this study is to find out how macroeconomic factors such as exchange rate changes, BI rate and inflation rate can affect the financial sector stock price index in IDX from 2011 until 2017. Generalize Autoregressive Conditional Heteroscedasticity (GARCH) is used as the analysis method in this research to find the fittest model. The results are, only exchange rate change that has significant effect to financial sector stock price index. Inflation and BI rate have no significant effect to financial sector stock price index.

Pengaruh Tingkat Inflasi, Tingkat Suku Bunga Bi, Dan Nilai Tukar Usd-Idr Terhadap Perubahan Harga Saham Sektor Perusahaan Manufaktur Di Indonesia

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Adi Cahya Stefanus ◽  
Robiyanto Robiyanto
Keyword(s):  
Exchange Rate ◽  
Stock Price ◽  
Price Index ◽  
Inflation Rate ◽  
Manufacturing Sector ◽  
Analysis Method ◽  
Conditional Heteroscedasticity ◽  
Macroeconomic Factors ◽  
Stock Price Index ◽  
Autoregressive Conditional Heteroscedasticity

The objective of this study is to find out how macroeconomic factors such as exchange rate, BI rate and inflation rate can affect the manufacturing  sector stock price index in IDX from 2011 until 2018. Generalized Autoregressive Conditional Heteroscedasticity (GARCH) is used as the analysis method in this research to find the fittest model. The result, only exchange rate that no significant effect to manufacturing sector stock, price index, Inflation and BI rate have significant effect to manufacturing sector stock price index.

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

Revisiting Quantile Granger Causality Between the Stock Price Indices and Exchange Rates for G7 Countries

2017 ◽  
Vol 8 (1) ◽  
pp. 9-21
Author(s):  
Tienwei Lou ◽  
Wuchang Luo
Keyword(s):  
Exchange Rate ◽  
Granger Causality ◽  
Stock Price ◽  
Price Index ◽  
Asymmetric Effect ◽  
G7 Countries ◽  
Causality Test ◽  
High Quantile ◽  
Stock Price Index ◽  
The Relationship

The daily data of the stock price index and the foreign exchange rate in G7 were utilized for the period between January 4, 1999 and June 30 2015. From the empirical study of Granger causality test in quantiles, there are three main findings. Firstly, there is no long-run significant relationship between the stock price index and exchange rate in G7. Secondly, different types of short-run relationships exist between the two variables among G7 countries. In Canada, Italy, and U.S.A., the relationship is bidirectional, and the asymmetric effect is at different quantiles. In France and Japan, the relationship is unidirectional, from the stock price index to the exchange rate, and the relationship is at different quantiles for the two countries. In Germany and U.K., the relationship is unidirectional in the opposite direction and is also at different quantiles. Lastly, it shows that international trading effects at different quantiles exist in Canada (at high quantile), Italy (at median quantile), and U.K. (at low quantile). On the other hand, portfolio balance effects at different quantiles exist in Germany (at low and median quantiles) and U.S.A. (at high quantile). The study shows neither effect in France and Japan. The empirical findings in this paper have important implications for academicians, international institutional investors, and policy-makers on the G7 markets.

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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