scholarly journals PENGUJIAN KAUSALITAS ANTARA VARIABEL MAKROEKONOMI DENGAN RETURN PASAR DI BURSA EFEK INDONESIA : SEBUAH PENDEKATAN VECTOR AUTO

Media Ekonomi ◽  
2017 ◽  
Vol 19 (3) ◽  
pp. 23
Author(s):  
Anggi Hapsari Nurullita

<p>Indicators of macroeconomic have major impact on capital markets in general and stocks in particular. Influence of these indicators can be positive or negative. Vector Auto Regression (VAR) is a method of analysis used to predict the time series variable and analyze the dynamic impact factor interference in a system variable. VAR analysis is very useful to assess the linkages between economic variables. This research aims to see the influence of iIndicators of macroeconomic such as the exchange rate (EXCHANGE), interest rate Bank Central of Indonesia Certificates (SBI) and rate of inflation (INFLATION) to market return (REIHSG) in Indonesian Stock Exchange in the period 2004:1-2011:10. Data obtained from the Monthly Stock Price Index Statistics JSX. This research appllying several stages of testing as follows: unit root test, the optimal lag test, Granger causality test and Vector Auto Regression model (VAR). The results of unit root test in this study suggests that the data used for processing in the first degree and VAR Granger test because only the stationary stock index return variable in zero degree (level). On the test results suggested the optimal lag is the lag 3. On the Granger causality test is known that the Granger test variable rate (EXCHANGE) has a one-way impact or the exchange rate (EXCHANGE) affect market return (REIHSG) interest rate of Bank Central of Indonesia Certificates (SBI) and the rate of inflation (INFLATION) has a two direction or impact mutual Causality. These results indicate that there is a weak Granger causality between interest rates Bank Central of Indonesia Certificates (SBI) and rate of inflation (INFLATION) to market return (REIHSG).<br />Keywords: Vector Auto Regressive (VAR), Macroeconomic, Granger Causality, IHSG stock return</p>

2016 ◽  
Vol 11 (3) ◽  
pp. 109-119 ◽  
Author(s):  
Retius Chifurira ◽  
Knowledge Chinhamu ◽  
Dorah Dubihlela

This paper examines the presence of cointegration between South African gold mining index and USD/ZAR exchange rate. The results show that gold index and USD/ZAR exchange rate series are both I(1) and are cointegrated. The Granger causality test shows a two-way directional causality between gold index and USD/ZAR exchange rate for the period 9 June 2005-9 June 2015. By accounting for possible structural breaks, the Zivot-Andrews unit root test suggests two different breaking points in the data. By using the breaking dates to divide the dataset into 3 sub-periods, the results show that gold index and USD/ZAR exchange rate series are not cointegrated. The Granger causality test shows no causality between the two variables. This finding suggests that gold mining index does not play a key role in explaining the trends in the exchange rate and likewise exchange rate does not affect gold mining index. Keywords: USD/ZAR exchange rate, gold mining index, unit root tests, breaking points, cointegration. JEL Classification: F3, F4, F63, O47


2020 ◽  
Vol 3 (2) ◽  
pp. 17-27
Author(s):  
Kamaljit Singh ◽  
Vinod Kumar

The main objective of this paper is to analyze the trend and pattern of the Nifty-Fifty and sectorial indices. An attempt has been also made to find out the causal relationship among the Nifty-Fifty and NSE sectorial Indices. The unit root test and Granger-causality test has been applied to check the causal relationship between Nifty-Fifty and sectorial indices. The finding of the study shows that the financial service sector had performed better and followed by the banking sector among all the indices while the Pharma sector and the Realty sector were Under-performed in comparison to other indices. The Nifty-Fifty has been found less volatile in comparison to other sectorial indices however Realty sector indices show the highest volatility during the study period.


Media Ekonomi ◽  
2017 ◽  
Vol 20 (3) ◽  
pp. 73
Author(s):  
Iqra Aulia

<p>Vector Auto Regression (VAR) is an analysis or statistic method which can be used to predict time series variable and to analyst dynamic impact of disturbance factor in the variable system. In addition, VAR analysis is very usefull to assess the interrelationship between economics variable. This research through the following test phases: unit root test, optimal lag test, granger causality test, and form a vector auto regression model (VAR). The data used in this research is interest rate (i), profit low sharing of mudharabah deposits (nBH), economic growth (gGDP, growth of mudharabah deposits volume (gVM) in the period 2006:01-2011:12. The effectiveness was measured by two indicators. This study used secondary data issued by Syariah Mandiri Bank &amp; Bank Indonesia. The result of the study shows that response velocity of variable in growth of mudharabah deposits volume (gVM) towards shock instrument of interest rate(i) until reach the final target about 4 months. Thus we can conclude that growth of mudharabah deosits volume through Interest Rate is not effective in Indonesia period of 2006:01-2011:12. Keyword: Vector Auto Regression (VAR), growth of mudharabah deposits volume (gVM), The Interest Rate.</p>


2012 ◽  
Vol 1 (2) ◽  
pp. 103
Author(s):  
Suriani Suriani

The objective of this research is to analize the effects of the variables interest rate, and exchange as one of monetary mecanisme for controlling inflation. The correlation among those variables is cointgration in the long run and short run equilibrium analyzed. In Indonesia, the monetary policy is run by monetary instruments (i.e. interest rates or monetary aggregates) to achieve price stability. This research used Unit Root Test , Cointegration Test, Granger causality and VECM (Vector Error Correction Model) Test. The results of estimation showed that have cointegration among interest rate, exchange rate and inflation in the long run. Granger causality test showed that between inflation and interest rate have no causality relationship, but for inflation and exchange rate have two directions relationship of causality. It’s means, monetary of mecanisme transmition through exchange rate channel can be good choice in making monetary policy to control inflation in Indonesia.


2017 ◽  
Vol 64 (3) ◽  
pp. 255-271 ◽  
Author(s):  
Emmanuel Anoruo

This paper explores the causal relationship between coal consumption and economic growth for a panel of 15 African countries using bootstrap panel Granger causality test. Specifically, this paper uses the Phillips-Perron unit root test to ascertain the order of integration for the coal consumption and economic growth series. A bootstrap panel Granger causality test is employed to determine the direction of causality between coal consumption and economic growth. The results provide evidence of unidirectional causality from economic growth to coal consumption. This finding implies that coal conservation measures may be implemented with little or no adverse impact on economic growth for the sample countries as a group.


2019 ◽  
Vol 33 (2) ◽  
pp. 73-80
Author(s):  
Shiva Prasad Pokharel ◽  
Bishnu Prasad Pokharel

 This paper aims to investigate the impact of Foreign Direct Investment (FDI) on the economic growth of Nepal for the period 2008/09 to 2017/18 A.D. yearly data. It evaluated the Gross Domestic Product (GDP) performance and the trends of FDI and Gross Fix Capital Formation (GFCF) in Nepal. To demonstrate the relationship between Nepalese Gross Domestic Product (GDP) and Foreign Direct Investment (FDI) and Gross Fix Capital Formation (GFCF) Multiple-Regression-Model has been applied along with various econometrics techniques such as Unit-Root Test, Granger-Causality Test and Ordinary Least Square (OLS). GDP in this model is used as dependent variable whereas FDI and GFCF are measured as independent variables. According to the results, Unit Root Test indicated that all the variables included in the model were not stationary at level except FDI, whereas GDP and GFCF are stationary at first difference. The model is overall significant with the positive and significant relationship of GDP, FDI and GFCF. Result also indicate a good fit for the model with R2=86%. The Granger Causality Test revealed that there was no causality between the variables since all p-value obtained are more than 5%. Based on the empirical result of this paper, policy recommendation proposed that for Nepal to generate more foreign direct investment, hard work should be made at solving problems of government involvement in business; relative closed economy; corruption; weak public institutions; and poor external image, and political instability.


Media Trend ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. 128-135
Author(s):  
Diah Wahyuningsih ◽  
Uun Primangesti Ningsih

The objectives of this study are to analyze the effect of foreign debt on the exchange rate that seen from the foreign debt and the exchange rate, and add the variable of inflationary monetary policy and the interest rate of BI Rate to test its impact on monetary policy in Indonesia. The approach in this study is quantitative approach. Data that used are Time Series data from Asian Development Bank and Indonesian World Bank in 1986-2013. Variables that used are exchange rate, foreign debt, inflation and the interest rate of BI Rate. Method that used in this study is Vector Auto Regression (VAR) analysis. The stages that used in this study testing are stationary test, optimal lag test, Granger causality test, impulse response test, and variance decomposite test in Eviews 6 program. The results of Granger causality test of all variables in this study are unlikely to have a relationship and there are only two variables that give an effect.Based on the results of Granger causality, it shows that there is bidirectional between foreign debt variable that has an effect on the exchange rate in Indonesia and the exchange rate has an effect on the foreign debt in Indonesia. While the foreign debt has an effect on the interest rate of BI Rate. For the results of impulse response test show that the exchange rate variable gives the biggest respond to the shock of foreign debt variable, compared to inflation and the interest rate of BI Rate variables. The results of Variance decomposite show that the contribution which given by foreign debt variable on the exchange rate is relatively bigger compared to the contribution that given by inflation and the interest rate of BI Rate variables.


2018 ◽  
Vol 6 (4) ◽  
pp. 475-482
Author(s):  
Teddy Aldwin Leonard

Tujuan penelitian ini adalah mengetahui hubungan kausalitas antara total nilai ekspor Indonesia ke Tiongkok dengan tingkat suku bunga Tiongkok, tingkat inflasi Indonesia, dan nilai tukar Rupiah Indonesia terhadap Yuan China. Penelitian ini menggunakan uji kausalitas granger dengan variabel total nilai ekspor Indonesia ke Tiongkok, tingkat inflasi Indonesia, tingkat suku bunga dasar Tiongkok, dan nilai tukar Rupiah Indonesia terhadap Yuan China untuk melihat hubungan kausalitas antar variabel. Hasil uji kausalitas granger menunjukkan hasil bahwa total nilai ekspor Indonesia ke Tiongkok memiliki hubungan satu arah dengan variabel tingkat suku bunga Tiongkok dan variabel nilai tukar Rupiah Indonesia terhadap Yuan China, namun tidak terdapat hubungan kausalitas dengan variabel tingkat inflasi Indonesia. Hubungan satu arah antara total nilai ekspor Indonesia ke Tiongkok dengan tingkat suku bunga Tiongkok adalah total nilai ekspor Indonesia ke Tiongkok menyebabkan perubahan tingkat suku bunga Tiongkok, sedangkan hubungan satu arah antara total nilai ekspor Indonesia ke Tiongkok dengan nilai tukar Rupiah Indonesia terhadap Yuan China adalah nilai tukar Rupiah Indonesia terhadap Yuan China menyebabkan perubahan total nilai ekspor Indonesia ke Tiongkok. The purpose of this study is to know the causality relationship between the total value of Indonesia's exports to Tiongkok with Tiongkok's interest rate, the inflation rate of Indonesia, and the exchange rate of Indonesian Rupiah against the Yuan China. This study uses granger causality test with total variable of Indonesian export value to Tiongkok, Indonesia inflation rate, interest rate of Tiongkok, and Indonesian Rupiah exchange rate to Yuan China to see the relation of causality among variables. Granger causality test results show that the total value of Indonesia's export to Tiongkok has unidirectional relationship with variable of Tiongkok interest rate and variable of Indonesian Rupiah exchange rate to Yuan China, but there is no causality relationship with Indonesian inflation rate variable. The unidirectional relationship between the total value of Indonesia's exports to Tiongkok and the Tiongkok interest rate is the total value of Indonesia's exports to Tiongkok causing a change in the Tiongkok interest rate, while the unidirectional relationship between the total value of Indonesia's exports to Tiongkok and the Indonesian rupiah against the Yuan China is the value The Indonesian rupiah exchange rate against the Yuan China led to a change in the total value of Indonesia's exports to Tiongkok


2013 ◽  
Vol 850-851 ◽  
pp. 1016-1019
Author(s):  
Zhi Hua Xu

In this paper, we established Granger causality test, VAR model, impulse response function and variance decompositions to observe Shibor whether possess of four properties as the benchmark interest rate of the marketability, stability, correlation ,fundamentality. Conclusion Shibor as money market benchmark interest rates on various aspects of the performance is better, however, compared with Chibor foundational aspects needs to be improved, and easily influenced by Exchange rate suggests that stability is insufficient.


Author(s):  
Lyn Rose ◽  
Nithin Jose

This paper looks at the relationship between Nifty returns and US Dollar - Indian Rupee Exchange Rates. The study looks into the causal relationship between Nifty returns and exchange rate using Granger Causality test. It took daily data covering the period from January, 2009 to June, 2019. In this study, it was found that both variables were non–normally distributed. With the help of Unit Root Test, it was also verified that Nifty returns as well as Exchange rate, were stationary at the first difference form. Using Granger Causality test it is proved there was a bidirectional relationship between Nifty returns and Exchange rates. From the further investigation it is evident there is a causality running from exchange rate return to stock market return. Finally, employing impulse response function it found that there is a negative relationship among the variables.


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