scholarly journals THE ISLAMIC CAPITAL MARKET VOLATILITY: A COMPARATIVE STUDY BETWEEN IN INDONESIA AND MALAYSIA

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

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


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.


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


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.


Author(s):  
Idowu Paul Olanitori ◽  
Olaiya Hawley Ademulegun ◽  
Olateru Olagbegi Adeparubi

Since the first oil price oscillation in 1973s, macroeconomists have viewed sharp measures in the price of oil are generally as an important source of economic vacillations. The go-slow of economic activities has important implications for economic agents and markets. Therefore, this paper models and forecasts the crude oil price, stock price and selected macroeconomic variables in Nigeria. A model predicated on the Keynesian model using yearly data between 1986 and 2016 and analysed using VECM and GARCH approaches. The findings showed that there is long run relationship through Vector Error Correction Model which was achieved well in forecasting the selected macroeconomic variables while the volatility in crude oil price and stock price causes by external and internal forces also captured by General Autoregressive Conditional Heteroskadasticity. The long run negative effect of macroeconomic variable on economy growth can be controlled by making strong fiscal and monetary policies. The 2016 recession was reinforced by all share index and exchange rate as the path of growth declined over the forecast horizon. Further checks carried out using normality test validated the choice of this work. The paper concludes that monetary and exchange rate policy consistency are decisive for smoothening business rotation vacillations and promoting market stability. JEL: L10; E30 <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0851/a.php" alt="Hit counter" /></p>


Macro-Economic factors plays a major role in decision making. Evaluation of macroeconomic environment is required to examine the behaviour of stock prices, which further influences the investor’s investment behaviour. Even though some macro-economic factors are not directly related to the company or industry, but those factors has an impact on stock prices, further economic activity in the domestic and global level has its own impact on stock market. When economy of the country grows hastily, it leads to faster growth in the industry and vice versa. Financial market plays a central role in the performance of financial system of an economy. Stock market is a market where securities of listed companies are exchanged between different investors, it is very responsive market which, gives a stage to investors to invest their money in various securities. Market indices are the tools to measure the performance of various securities of stock market and Investors make use of those market indices to analyse performance of those industries in which, they prefer to invest. This study takes into account six macro-economic factors (Crude oil Price, Gold Price, Silver Price, Exchange Rate, Inflation and Interest Rate) to study & analyse the impact of these variables on selected sectoral indices at BSE, SENSEX, S&P BSE BANKEX, S&P BSE Oil and Gas, S&P BSE Capital Goods, S&P BSE Consumer Durables, S&P BSE Reality, S&P BSE PSU and S&P BSE Power. The study shows that gold price, exchange rate, consumer price index and interest rate are positively correlated with four indices but crude oil price and silver price have positively correlated with 3 indices. So from the result it is clear that investor need to take of all the variables for their investment decision and the investment banker also take care of these indicators before giving suggestion to their clients


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