scholarly journals Market Share Bank Syariah Terhadap Institusi Keuangan Syariah di Indonesia

2021 ◽  
Vol 8 (1) ◽  
pp. 75
Author(s):  
Moh. Adenan ◽  
Ghaluh Hermawati Safitri ◽  
Lilis Yuliati
Keyword(s):  
Mutual Funds ◽  
Market Share ◽  
Capital Market ◽  
Time Series Data ◽  
Financial Institution ◽  
Series Data ◽  
Islamic Banking ◽  
Vector Error Correction ◽  
Insignificant Effect ◽  
Demand Deposits

Sharia banking is a sharia financial institution that is considered to have contributed to the national economy. Judging from the value of the market share owned by Islamic banking, it is still relatively low compared to Malaysia. This study aims to determine the effect of Islamic capital market products and Islamic banking on the market share of Islamic banking assets in Indonesia. The Islamic capital market products used are in the form of Islamic stocks, corporate sukuk and Islamic mutual funds. Meanwhile, in Islamic banking, there are Islamic demand deposits, Islamic savings and Islamic deposits. Empirically the focus of this research is using monthly time series data from January 2014 to December 2019. This study uses the Vector Error Correction Model (VECM) analysis method. The estimation results of this study indicate that in the long term, corporate sukuk, sharia demand deposits and Islamic savings have a positive and significant effect on the market share of Islamic banking assets in Indonesia. Meanwhile, Islamic mutual funds and Islamic deposits have a negative and significant effect. Meanwhile, Islamic stocks have a negative and insignificant effect on the market share of Islamic banking assets in Indonesia. On the other hand, in the short term only Islamic deposits have a positive and significant effect. Corporate sukuk has a positive and insignificant effect, while Islamic stocks, Islamic mutual funds, Islamic demand deposits and Islamic savings have a negative and insignificant effect on the market share of Islamic banking assets in Indonesia.

Economic Turmoil in Islamic Banking Investment

ETIKONOMI ◽  
2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Budiandru Budiandru ◽  
Sari Yuniarti
Keyword(s):  
Interest Rates ◽  
Stock Price ◽  
Time Series Data ◽  
Series Data ◽  
Islamic Banking ◽  
Vector Error Correction ◽  
Investment Financing ◽  
Vector Error ◽  
Operational Activities

Investment financing is one of the operational activities of Islamic banking to encourage the real sector. This study aims to analyze the effect of economic turmoil on investment financing, analyze the response to investment financing, and analyze each variable's contribution in explaining the diversity of investment financing. This study uses monthly time series data from 2009 to 2020 using the Vector Error Correction Model (VECM) analysis. The results show that the exchange rate, inflation, and interest rates significantly affect Islamic banking investment financing in the long term. The response to investment financing is the fastest to achieve stability when it responds to shocks to the composite stock price index. Inflation is the most significant contribution in explaining diversity in investment financing. Islamic banking should increase the proportion of funding for investment. Customers can have a larger business scale to encourage economic growth, with investment financing increasing.JEL Classification: E22, G11, G24How to Cite:Budiandru., & Yuniarti, S. (2020). Economic Turmoil in Islamic Banking Investment. Etikonomi: Jurnal Ekonomi, 19(2), xx – xx. https://doi.org/10.15408/etk.v19i2.17206.

scholarly journals Are We Alive When Islamic Banks Dominate?: Case Study In Indonesia

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Raditya Sukmana ◽  
Heri Kusworo
Keyword(s):  
Market Share ◽  
Time Series Data ◽  
Series Data ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Banking And Finance ◽  
Market Shares ◽  
Banking Market ◽  
Double Exponential Smoothing ◽  
And Performance

Islam promotes justice in every aspect of life including in banking and finance. Shariah has to be the foundation for any banking transactions to ensure that any single party is not being unfairly treated or exploited. Interest based bank is certainly create unfairness and exploitation. In any cases only single party which get a lot of benefit. Hence islamic banking industry need to be developed so that its market share will increase significantly until it can reach the domination of the national banking assets. This paper aims to forecast when such condition will occur. Adopting a popular forecasting tool such as double exponential smoothing, this study will inform us when islamic banking market share will reach 50% out of total banking asset. The monthly data examined starts from January 2004 to may 2011. We use a single time series data which is islamic banking market shares whereby it is calculated from the islamic banking asset divided by total banking asset. the structure of this paper is as follows: after the introduction which describe the history and performance of Indonesian islamic bank, it discusses about the data and method used in this paper. Next section is on the description and analysis on the result obtained. Lastly is the conclusion where it recommends some policies required from the obtained result in which the optimist scenario would say that the domination of Islamic banks may occur in our grandchild generation

scholarly journals PENGARUH INDEKS REGIONAL TERHADAP JAKARTA ISLAMIC INDEX (JII)

ETIKONOMI ◽  
2012 ◽  
Vol 11 (2) ◽  
Author(s):  
Yoghi Citra Pratama
Keyword(s):  
Capital Market ◽  
Time Series Data ◽  
Impulse Response Function ◽  
Variance Decomposition ◽  
Series Data ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error

The objectives of this study are to analyze the influence of IHSG, Dowjones, and Nikkei to JII. The data used in this study are monthly time series data from January 2006 – May 2012. Those data are JII, IHSG, Dowjones Index and Nikkei Index. Research method used in this study is Vector Error Correction Model (VECM). The cointegration test indicates that among research variables there is long term equilibrium and simultaneous relationship. The Empirical result of Impulse Response Function shown that the effect of IHSG, DowJones and Nikkei to JII are negative.  The result on variance decomposition test had shown that the most effect of JII shock is influenced by JII itself. It can be conclude that Islamic Capital Market is more stable from the external shock rather than the conventional one.DOI: 10.15408/etk.v11i2.1888

Impact of exchange rate and oil price on the yield of sovereign bond and sukuk: Evidence from Malaysian capital market

2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman
Keyword(s):  
Exchange Rate ◽  
Capital Market ◽  
Time Series Data ◽  
Oil Prices ◽  
Oil Price ◽  
Series Data ◽  
Sovereign Bond ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.

ANALISA PREDIKSI INDEKS HARGA SAHAM GABUNGAN MENGGUNAKAN METODE ARIMA

2020 ◽  
Vol 2 (2) ◽  
pp. 454
Author(s):  
Julkifli Purnama ◽  
Ahmad Juliana
Keyword(s):  
Capital Market ◽  
Stock Price ◽  
Time Series Data ◽  
Arima Model ◽  
Secondary Data ◽  
Actual Data ◽  
Series Data ◽  
Analysis Technique ◽  
The Right ◽  
The Capital Market

Investment in the capital market every manager needs to analyze to make decisions so that the right target to produce profits in accordance with what is expected. For that, we need a way to predict the decisions that will be taken in the future. The research objective is to find the best model and forecasting of the composite stock price index (CSPI). Data analysis technique The ARIMA Model time series data from historical data is the basis for forecasting. Secondary data is the closing price of the JCI on July 16 2018 to July 16 2019 to see how accurate the forecasting is done on the actual data at that time. The results of the study that the best Arima model is Arima 2.1.2 with an R-squared value of 0.014500, Schwarz criterion 10.83497 and Akaike info criterion of 10.77973. Results of forecasting actual data are 6394,609, dynamic forecast 6387,551 selisish -7,05799, statistics forecas 6400,653 difference of 6,043909. For investors or the public can use the ARIMA method to be able to predict or predict the capital market that will occur in the next period.

Revisiting the growth effects of government bonds in the emerging capital market.

2019 ◽  
Vol 3 (1) ◽  
pp. 32-38
Author(s):  
Temitayo O. Olaniyan ◽  
Samuel O. Ekundayo
Keyword(s):  
Method Of Moments ◽  
Capital Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Annual Reports ◽  
Series Data ◽  
Government Bonds ◽  
Market Growth ◽  
The Public ◽  
Generalised Method Of Moments

We revisited the effects of government bonds for the growth on the Nigerian capital market. Utilising time-series data obtained from the Nigeria Stock Exchange (NSE) annual reports for the period from 2010 to 2017, this study through the Generalised Method of Moments (GMM) regression estimator found that the value and the number of listed government bonds’ positively and significantly affect capital market growth in Nigeria. Furthermore, low capitalisation of government bonds negatively affects the growth of the market. The null hypothesis of the Hansen J-statistics is accepted; hence this implies that the IVs used in the GMM model is valid. We concluded that government bonds have positive and significant effects on the growth of the Nigerian capital market, thus government bonds have made the NSE All-Share Index grow over the period under investigation. Following the findings from the study, it was recommended, inter alia, that there should be more issuance of government bonds to the public and further to enhance the efficiency of the capital markets, both primary and secondary, while the funds raised from the capital market through government issuance should be channelled towards Nigeria’s productive sectors to promote an all-inclusive growth in the Nigerian economy.

Export-led Growth Hypothesis: Econometric Evidence from Malaysia

2013 ◽  
Vol 14 (2) ◽  
pp. 94-112
Author(s):  
Hassanudin Mohd Thas Thaker ◽  
Tan Siew Ee ◽  
Sushant Vaidik
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Series Data ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Long Run ◽  
Paper Cover ◽  
Econometric Evidence ◽  
Augmented Dickey Fuller ◽  
Growth Hypothesis

The objective of this paper is to test the validity of the Export-led Growth Hypothesis (ELGH) in the Malaysian economy. Malaysia has always been considered to have attained its growth primarily through exports (Okposin, Bassey, Hamid, Halim, and Boon, 1999; Mun, 2008; Mahathir, 1990). In the past, several studies on this topic have been conducted but their analyses were limited to relationships using Bound-testing, Autoregressive –Distributed Lag (ARDL) and the Toda Yamamoto analysis. Empirical data and analysis in our paper cover a 21 – year span and quarterly time-series data (1991:Q1 – 2012:Q4) are used to test this ELG hypothesis. Also, many dynamic econometric measures including the Augmented Dickey Fuller (ADF) and Phillip – Perron (PP) unit root tests, Cointegration test as well as the Vector Error Correction model (VEC) for the long run have been applied. Based on these generic models, both real exports and capital stock (productivity) are found to have stimulated positive adjustments to economic growth in the long run whereas real exchange rate is found to have influenced economic growth negatively. Overall, our conclusion is that the ELG hypothesis seems applicable to Malaysia in the long run.

scholarly journals An Examination Into the Causal Links Among Inward FDI Determinants: Empirical Evidence From Jordan

2021 ◽  
Vol 12 (2) ◽  
pp. 195
Author(s):  
Mohamed Ibrahim Mugableh
Keyword(s):  
Gross Domestic Product ◽  
Time Series Data ◽  
Trade Openness ◽  
Vital Role ◽  
Domestic Product ◽  
Series Data ◽  
Foreign Direct Investments ◽  
Vector Error Correction ◽  
Long Span ◽  
Foreign Policies

This paper examined the causal links between inward foreign direct investments (FDI) and its determinants (i.e., gross domestic product, education, trade openness, infrastructure, and technological abilities) for Jordan over (the period 1980 – 2018). The paper used vector error correction model. The results of the study considered that gross domestic product, trade openness, education, infrastructure, and technological abilities are primary engine of inward FDI in (long term and short term). Thus, the results have vital role for the policy makers in Jordan to formulate domestic and foreign policies. This study relied on three essential parts. Firstly, FDI is a significant source of capital that promotes economic growth. Secondly, the question of what are the leading drivers of FDI remains inadequate in the literature. Finally, this research adds to the literature by using different econometrics techniques and long span of yearly time series data. 

scholarly journals The Effect of Inflation, US Dollar Exchange Rates, Interest Rates, and World Oil Prices on Gold Price Fluctuations in Indonesia 2014 – 2019

2020 ◽  
Vol 1 (3) ◽  
pp. 155-171
Author(s):  
Ummi Kalsum ◽  
Randy Hidayat ◽  
Sheila Oktaviani
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Time Series Data ◽  
Multiple Linear Regression Model ◽  
Oil Prices ◽  
Gold Price ◽  
Series Data ◽  
Price Fluctuations ◽  
Insignificant Effect ◽  
Us Dollar

This study aims to determine the effect of inflation, US dollar exchange rates, interest rates, and world oil prices on fluctuations in gold prices in Indonesia in 2014 - 2019. This research is a type of explanatory research with a quantitative approach. The data used are monthly time series data for 2014 - 2019 with a sample of 72 samples. The multiple linear regression model is used as an analysis technique in this study. The results of this study indicate that simultaneously (F test) inflation, USD exchange rates, interest rates, and world oil prices have a significant effect on gold price fluctuations in Indonesia. Partially (t-test) shows that the USD exchange rate has a significant positive effect on gold price fluctuations in Indonesia. Inflation and interest rates have a negative and insignificant effect on fluctuations in gold prices in Indonesia. Meanwhile, world oil prices have a positive and insignificant effect on gold price fluctuations in Indonesia.

scholarly journals The impact of bank-specific and macroeconomic variables on profitability of Islamic rural bank in Indonesia

2019 ◽  
Vol 5 (3) ◽  
Author(s):  
Muhammad Sanusi
Keyword(s):  
Banking Sector ◽  
Time Series Data ◽  
Series Data ◽  
Estimation Model ◽  
Policy Makers ◽  
Vector Error Correction ◽  
Macroeconomic Variables ◽  
Vector Error ◽  
The Impact

This paper investigates the impact of bank-specific and macroeconomic variables on the profitability of Islamic rural bank (BPRS) in Indonesia. Using monthly time series data from January 2010 - December 2018. The estimation model used is a vector error correction model to analyze the long-term and short-term relationships between bank-specific and macroeconomic variables on the profitability of Islamic rural bank. The results showed that CAR and LnTA had a significant positive relationship, while NPF, BOPO and IPI had a negative and significant relationship to the profitability of Islamic rural banks. But FDR and Inflation variables are not significantly related to the profitability of Islamic rural bank. The results leave implications for policy makers, investors and banking sector managers. Based on evidence that bank profitability is more influenced by internal banks (as specific as banks), this research can help Islamic rural banks to help them understand which factors are important to be analyzed to obtain higher profitability.

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