scholarly journals PENGARUH VARIABEL MAKROEKONOMI TERHADAP INDEKS HARGA SAHAM SYARIAH (STUDI KASUS DI INDONESIA DAN MALAYSIA)

2018 ◽  
Vol 9 (2) ◽  
Author(s):  
DESY TRISHARDIYANTI ADININGTYAS

Abstract. The Effect of Macroeconomic Variables on Sharia Stock Price Index (Case Study in Indonesia and Malaysia). The purpose of this research is to know the effect of macroeconomic variables (inflation, exchange rate, world crude oil price and world gold price) on sharia stock price index in Indonesia and Malaysia. By using Error Correction Model as the method, this research utilizes time series monthly data from March 2015 until February 2018. The finding shows that in long-term, inflation in Indonesia, exchange rate of rupiah, world crude oil price and world gold price had significant effect on Jakarta Islamic Index. In short-term, inflation in Indonesia, world crude oil price, world gold price had not significant effect on Jakarta Islamic Index and exchange rate of rupiah had significant effect on Jakarta Islamic Index. Meanwhile, inflation in Malaysia, world crude oil price, world gold price had not significant effect on FTSE Bursa Malaysia Hijrah Syariah Index in long-term and short-term. And exchange rate of ringgit had significant effect on FTSE Bursa Malaysia Hijrah Syariah Index in long-term and short-term.   Abstrak. Pengaruh Variabel Makroekonomi Terhadap Indeks Harga Saham Syariah (Studi Kasus di Indonesia dan Malaysia). Tujuan dari penelitian ini adalah untuk mengetahui pengaruh variabel makroekonomi (inflasi, kurs, harga minyak mentah dunia dan harga emas dunia) terhadap indeks harga saham syariah di Indonesia dan Malaysia. Penelitian ini menggunakan metode Error Correction Model, dengan data time series bulanan dari Maret 2015 sampai dengan Februari 2018. Hasil penelitian ini menunjukan bahwa pada jangka panjang, inflasi Indonesia, kurs rupiah, harga minyak mentah dunia dan harga emas dunia berpengaruh terhadap Jakarta Islamic Index. Pada jangka pendek, inflasi Indonesia, harga minyak mentah dunia, harga emas dunia tidak berpengaruh terhadap Jakarta Islamic Index dan kurs rupiah berpengaruh terhadap Jakarta Islamic Index. Sementara itu, inflasi Malaysia, harga minyak mentah dunia, harga emas dunia tidak berpengaruh terhadap FTSE Bursa Malaysia Hijrah Syariah Index pada jangka panjang dan jangka pendek. Dan kurs ringgit berpengaruh terhadap FTSE Bursa Malaysia Hijrah Syariah Index pada jangka panjang dan jangka pendek.

2013 ◽  
Vol 15 (4) ◽  
pp. 391-415
Author(s):  
Muhammad Syafii Antonio ◽  
Hafidhoh Hafidhoh ◽  
Hilman Fauzi

This study attempts to examine the short-term and long-term relationship among selected global anddomestic macroeconomic variables fromeach country (Fed rate, crude oil price, Dow Jones Index, interest rate, exchange rate and inflation) for Indonesia and Malaysia Islamic capital market (Jakarta Islamic Index (JII) and FTSE Bursa Malaysia Hijrah Shariah Index (FHSI). The methodology used in this study is vector error correction model (VECM) for the monthly data starting from January 2006 to December 2010. The result shows that in the long-term, all selectedmacroeconomic variables except Dow Jones Index variable have significantly affect in both Islamic stock market FHSI and JII, while in the short-term there is no any selected macroeconomic variables that significantly affect FHSI and only inflation, exchange rate and crude oil price variables seem to significantly affect JII. Keywords : Islamic Stock Market, Jakarta Islamic Index, FTSE Hijrah Shariah Index, VAR/VECMJEL Classification: E52, E44


2020 ◽  
Vol 6 (12) ◽  
pp. 2381
Author(s):  
Devi Rahmiyanti ◽  
Bayu Arie Fianto

This study investigate the effect of macroeconomic variables and international stock index on the stock index Jakarta Islamic Index (JII) using monthly data over period January 2013 to December, 2018. Macroeconomic variables used in this study are inflation, exchange rate, international crude oil price, World Gold Price and for the international stock index using Dow Jones Islamic Market. The study employs the eror correction model (ECM). The empirical result reveal that there is co-integration between the four macroeconomic variables, one international stock index and stock index in Jakarta Islamic Index indicating long run equilibirium relationship. Furhther, the result reveal that with significancy 0,5% only exchange rate, international crude oil price, world gold price had significant effect on Jakarta Islamic Index while inflation and Dow jones Islamic Market did not have a significant effect on Jakarta Islamic Index.Keywords: The stock Index, the Jakarta Islamic Index, the macroeconomic variables


2013 ◽  
Vol 15 (4) ◽  
pp. 377-400
Author(s):  
Muhammad Syafii Antonio ◽  
Hafidhoh Hafidhoh ◽  
Hilman Fauzi

This study attempts to examine the short-term and long-term relationship among selected global and domestic macroeconomic variables from each country (Fed rate, crude oil price, Dow Jones Index, interest rate, exchange rate and inflation) for Indonesia and Malaysia Islamic capital market (Jakarta Islamic Index (JII) and FTSE Bursa Malaysia Hijrah Shariah Index (FHSI). The methodology used in this study is vector error correction model (VECM) for the monthly data starting from January 2006 to December 2010. The result shows that in the long-term, all selected macroeconomic variables except Dow Jones Index variable have significantly affect in both Islamic stock market FHSI and JII, while in the short-term there is no any selected macroeconomic variables that significantly affect FHSI and only inflation, exchange rate and crude oil price variables seem to significantly affect JII. Keywords : Islamic Stock Market, Jakarta Islamic Index, FTSE Hijrah Shariah Index, VAR/VECMJEL Classification: E52, E44


2020 ◽  
Vol 8 (2) ◽  
pp. 55-64
Author(s):  
Fadhel Kesarditama ◽  
Haryadi Haryadi ◽  
Yohanes Vyn Amzar

This study aims to analyze the trend of macroeconomic variables and gold prices in Indonesia and to determine the effect of macroeconomic variables on gold prices in Indonesia. This study uses a quantitative approach. The data used is secondary data from January 2014-December 2019. The analytical tools and techniques used are trend analysis with a linear trend approach and multiple linear regression models using the Ordinary Least Square method. The five research variables that were processed showed that there were differences in the direction of the data trend. Where the variables of Gold Price, Exchange Rate, and Composite Stock Price Index show a positive trend, while the variables of Inflation and World Crude Oil Prices show a negative trend. Furthermore, the variables of Exchange Rate, world Crude Oil Price, and Composite Stock Price Index show a positive and significant influence on the Gold Price in Indonesia. While the inflation variable shows a negative and significant effect on the Gold Price in Indonesia. Keywords: Inflation, foreign exchange,crude oil prices, idx composite and gold prices


2019 ◽  
Vol 1 (02) ◽  
pp. 7-20
Author(s):  
Muhammad Umar Azyka Alfuadi

The paper attempts to analyze the impacts of gold price, oil price, exchange rate, consumer price index, and BI rate to Jakarta Islamic Index using VAR- VECM analysis. The result shows that in long term all variables have a significant impact to JII. Gold price has negative impact to JII 4,1% and stable after 12 months, oil price has positive impact 1% and stable after 21 months, exchange rate has positive impact 3,8% and stable after 17 months, consumer price index has positive impact 0,5% and stable after 21 months, and BI rate has negative impact 6,2% and stable after 15 months. BI rate also gives the biggest impact‟s contribution into JII. This result is very contradictory with Islamic economic principle “No-Riba Oriented”.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tianxiang Yao ◽  
Zihan Wang

PurposeAccording to the problem of crude oil price forecasting, the purpose of this paper is to propose a multi-step prediction method based on the empirical mode decomposition, long short-term memory network and GM (1,1) model.Design/methodology/approachFirst, the empirical mode decomposition method is used to decompose the crude oil price series into several components with different frequencies. Then, each subsequence is classified and synthesized based on the specific periodicity and other properties to obtain several components with different significant characteristics. Finally, all components are substituted into a suitable prediction model for fitting. LSTM models with different parameters are constructed for predicting specific components, which approximately and respectively represent short-term market disturbance and long-term influences. Rolling GM (1,1) model is constructed to simulate a series representing the development trend of oil price. Eventually, all results obtained from forecasting models are summarized to evaluate the performance of the model.FindingsThe model is respectively applied to simulate daily, weekly and monthly WTI crude oil price sequences. The results show that the model has high accuracy on the prediction, especially in terms of series representing long-term influences with lower frequency. GM (1,1) model has excellent performance on fitting the trend of crude oil price.Originality/valueThis paper combines GM (1,1) model with LSTM network to forecast WTI crude oil price series. According to the different characteristics of different sequences, suitable forecasting models are constructed to simulate the components.


Sign in / Sign up

Export Citation Format

Share Document