scholarly journals THE EFFECT OF MACROECONOMIC VARIABLES IN PREDICTING INDONESIAN SHARIA STOCK INDEX

Author(s):  
Angga Khoerul Umam ◽  
Ririn Tri Ratnasari ◽  
Sri Herianingrum

ABSTRACTThis study examines the impact of macroeconomic variables, namely the exchange rate, interest rates, industrial production index, SBIS and inflation on the Indonesian Islamic stock index. This study uses monthly data from May 2011 to December 2018. This research is a quantitative study that applies the Johansen Cointegration Test and Vector Error Correction Model to see the long-term impact and shock response on certain variables. The findings indicate the existence of short-term and long-term causality between macroeconomic variables and the Indonesian Islamic stock index. Especially in the long run, industrial production index and inflation have a significant effect on ISSI, while the exchange rate, interest rates and SBIS have no significant effect on ISSI. IRF results show that the response of each variable and stable at different times. The ISSI response experienced a positive shock that occurred in the industrial production index and inflation. On the other hand, the exchange rate, the Bungan rate and SBIS were responded negatively by ISSI.

2021 ◽  
Vol 4 (1) ◽  
pp. 77-90
Author(s):  
Paulina Harun

Previous research has proven the influence between interest rates, inflation, exchange rate, trade balance, industrial production index on stock prices. By using the Autoregressive Distributed Lag (ARDL) model approach and the 13 companies listed on the IDX, in this study, we will look deeper into the dynamics of long-term and short-term relationships for the aforementioned variables. The research period starts from January 2015 to December 2019, during which time there were many global upheavals that had a considerable impact on the Indonesian economy, through the ARDL model of interest rates, inflation, exchange rate, trade balance, industrial production index, and stock prices are proven to have long-term cointegration or move together in the long term. But not only in the long run, but these seven variables also have a dynamic short-term relationship that has a sufficient speed of adjustment towards equilibrium per month.


2002 ◽  
Vol 19 (4) ◽  
pp. 611-639 ◽  
Author(s):  
Fabio Fornari ◽  
Carlo Monticelli ◽  
Marcello Pericoli ◽  
Massimo Tivegna

2020 ◽  
Vol 6 (9) ◽  
pp. 1894
Author(s):  
Syafrina Hidayati ◽  
Puji Sucia Sukmaningrum

This research aims to determine the effect of Macroekonomic Variables against the sharia stock index, Jakarta Islamic Index . the approach used is quantitative by using the Vector Error Correction Model (VECM) analysis technique with the STATA program.While the Inflation, Exchange Rates,Bank Indonesia Sharia Certificate, Industrial Production Index and Oil Price as dependent variables and Jakarta Islamic Index (JII) as the independent variable.Secondary data are used in this research from the official website Badan Pusat Statistik, Bank Indonesia, U.S Energy Information Administration(EIA) and yahoofinance. The result of the research shows that in the short term, Inflation, Exchange Rates,Bank Indonesia Sharia Certificate, Industrial Production Index and Oil Price have no significant influence against Jakarta Islamic Index. While in the long term, Inflation, Exchange Rates,Bank Indonesia Sharia Certificate, Industrial Production Index have signicant influence against Jakarta Islamic Index. Oil price in the long term has no significant influence against Jakarta Islamic Index


2018 ◽  
pp. 70-84
Author(s):  
Ph. S. Kartaev ◽  
Yu. I. Yakimova

The paper studies the impact of the transition to the inflation targeting regime on the magnitude of the pass-through effect of the exchange rate to prices. We analyze cross-country panel data on developed and developing countries. It is shown that the transition to this regime of monetary policy contributes to a significant reduction in both the short- and long-term pass-through effects. This decline is stronger in developing countries. We identify the main channels that ensure the influence of the monetary policy regime on the pass-through effect, and examine their performance. In addition, we analyze the data of time series for Russia. It was concluded that even there the transition to inflation targeting led to a decrease in the dependence of the level of inflation on fluctuations in the ruble exchange rate.


Economies ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 107
Author(s):  
Mirzosaid Sultonov

Russia’s international comportment and geostrategic moves, particularly the invasion of Ukraine and the annexation of Crimea in 2014, caused a substantial change in its international economic and political relations. In response to Russia’s invasion, the United States of America, the European Union, and their allies imposed a series of sanctions. In this study, by applying an exponential generalized autoregressive conditional heteroscedasticity model to daily logarithmic returns of the ruble exchange rate and the closing price index of the Russian Trading System, we analyze how the returns and volatility of the exchange rate and the stock price index responded to the sanctions and oil price changes. The estimation results show that the sanctions have a significant positive short-term impact on exchange rate returns. Economic sanctions have a significant negative long-term impact on the returns and variance of the exchange rate and a significant positive long-term impact on the returns of the stock price index. Financial sanctions have a positive/negative long-term impact on the returns of the exchange rate/stock price index and a positive long-term impact on the variance of the exchange rate and the stock price index. Corporate sanctions have a positive long-term impact on exchange rate returns.


2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Herni Ali

The aim of this study is examining the relationship between cointergration and causality levels of Exchange Rate, GDP, BI interest rates and inflation on Islamic Capital Markets. The data used in this study is a quantitative secondary data in the form of time series of the period January 2010 to December 2013. The test were conducted with the approach of multiple regression models with variable index research JII (Y), the exchange rate (X1), GDP (X2) , BI rate (X3) and inflation (X4) as for hypothesis testing performed using SPSS statistical software. From the results obtained by testing the hypothesis that: a positive effect on the exchange rate, positive effect on GDP, interest harga sewa rates BI negative effect and inflation positive effect on JII. Simultanious testing into four macroeconomic variables affect the JII.DOI: 10.15408/sjie.v3i2.2061   


2021 ◽  
Vol 16 (1) ◽  
pp. 11-28
Author(s):  
Irma Febriana Mk ◽  
Nurbetty Herlina Sitorus ◽  
Rizka Malia

The purpose of this study was to see how the long-term and short-term relationship between banking performance and macroeconomic variables. The analysis method used is the vector error correction model (VECM) with the variables ROA, BOPO, LDR, industrial production index, CPI, and BI rate. The results of this study indicate that there is a significant positive relationship between ROA and industrial production index in the long run and a significant negative relationship between ROA and CPI in the long and short term. There is a significant negative relationship between BOPO and the industrial production index in the long and short term. LDR has a significant negative relationship with all macro variables in the long term whereas, in the short term, LDR has a significant negative relationship with the CPI.  Keywords: Banking performance, Macroeconomic, Vector error correction models


2014 ◽  
Vol 10 (2) ◽  
pp. 73-93
Author(s):  
Nosheen Rasool ◽  
Muhammad Mubashir Hussain

The purpose of this study was to analyze long-run causal relationship between ISE (Islamabad Stock Exchange) and macroeconomic variables in Pakistan and also find out the direction of causality. The impact of macroeconomic variables on stock prices of ISE has not been previously discussed by the researchers. The monthly data from January 2001 to December 2010 was used in this study. The set of macroeconomic variables include Exchange Rate (ER), Foreign Exchange Reserves (FER), Industrial Production Index (IPI), Interest Rate (IR), Imports (M), Money Supply (MS), Wholesale Price Index (WPI) and Exports (X). Descriptive statistics and Unit root test, Johansen Co-integration Technique and Granger Causality Technique were employed to analyze the long-run and causal relationship between the macroeconomic variables and stock prices.  The results revealed that M showed positive and significant relationship but Foreign Exchange Reserves (FER) and Industrial Production Index (IPI) indicated positive and insignificant relationship with the stock prices. Exchange rate(ER), Money supply (MS) and  Whole sale price index(WPI) showed negative but significant relationship while Interest  rate (IR) and Export( X )indicated a negative and insignificant relationship with the stock prices. The findings of Granger Causality revealed that only exports showed a unidirectional causal relationship. 


Author(s):  
Abdelsamie Eltaeb Tayfor

The study aimed to identify the determinants and economic variables that affect the exchange rate in Sudan during the period (1990- 2016). The study used the descriptive analytical approach in data collection and analysis as well as the use of econometric methods in the construction of economic models and analysis of time series regression models to verify the existence of a long- term integrative relationship between independent variables and dependent variable. The results of the study showed a positive correlation between GDP, degree of economic openness, inflation and exchange rate during the study years, and an inverse relationship between money supply and exchange rate. The study recommended the need to move away from administrative decisions in determining the exchange rate, while achieving greater flexibility in the exchange rate, and increased interest in bank financing of projects that lead to increase productivity and improve GDP and thus improve the exchange rate by encouraging domestic exports.


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