Pengaruh Variabel Makroekonomi Terhadap Jumlah Penghimpunan Zakat di Indonesia

Purpose this study analyzes the effect of the industrial production index, the dollar exchange rate, inflation and the BI 7DRR on the amount of zakat collection from January 2015 to December 2018to identify the potential of zakat to support alleviation in Indonesia. Methodology/Approach: this study uses a quantitative approach with a Vector Error Correction Model (VECM) data analysis technique with time series data from Januari 2015 t0 December 2018. Findings: The results show that in short term causality, there is an effect between long-term and short-term between zakat as the dependent variable with inflation and the dollar exchange rate. However, there is no short-term causality effect between BI 7-DRR and IPI to the amount of zakat while the long-term causality effect, all independent variables have a significant effect to the dependent variable namely zakat. Implications: The integration of Islamic philanthropic institutions has the potential to channel aid and support to alleviate poverty. This study adds the IPI variable to interpret the GDP variable in analyzing its effect on zakat.

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Determinant of The Bitcoin Prices as Alternative Invesment in Indonesia

Indicators : Journal of Economic and Business ◽

10.47729/indicators.v1i1.48 ◽

2020 ◽

Vol 1 (1) ◽

pp. 22-29

Author(s):

Gery Andrean

Keyword(s):

Exchange Rate ◽

Quantitative Analysis ◽

Composite Index ◽

Secondary Data ◽

Vector Error Correction Model ◽

Short Term ◽

Correction Model ◽

Vector Error Correction ◽

Vector Error

The aims of this study to know the determinant that affect bitcoin prices and how bitcoin prices response to the shock from GDP (Gross Domestic Product), inflation, exchange rate, JCI (Jakarta Composite Index. The method that was used in this research was quantitative analysis, with data analysis tools Vector Error Correction Model (VECM). Data used in this research was secondary data taken from Bank Indonesia, Bitcoincharts, and Yahoo Finance. The results of this study showed that (1) inflation in short term and in long term has negative significant effect on bitcoin prices, exchange rate in long term has positive significant effect on bitcoin price. In short term and in the long term GDP and JCI do not have significant effect on bitcoin prices (2) The results of IRF shows bitcoin prices respond negatively shock from GDP and exchange rate, while shock from inflation and JCI responded posifively by bitcoin prices.

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Analisis ekspor kopi Indonesia

Jurnal Paradigma Ekonomika ◽

10.22437/paradigma.v12i1.3929 ◽

2017 ◽

Vol 12 (1) ◽

pp. 1-10

Author(s):

Rexsi Nopriyandi ◽

Haryadi Haryadi

Keyword(s):

Time Series ◽

Exchange Rate ◽

Exchange Rates ◽

Time Series Data ◽

Series Data ◽

Government Agencies ◽

Short Term ◽

Correction Model ◽

Coffee Price

This study aims to analyze the factors that influence Indonesian coffee exports. The data in this study is time series data, which were obtained from various government agencies. The Error Correction Model (ECM) method is used to analyze the effect of coffee prices, GDP and the exchange rate on the volume of Indonesian coffee exports. The estimation results find that coffee prices, Indonesian GDP and exchange rates have a short-term relationship and a long-term balance of the volume of coffee exports. Based on the long-term estimation of the coffee price variable, GDP and exchange rates do not significantly affect the volume of coffee exports, while in the short term these three variables influence the volume of coffee exports

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Analisis cadangan devisa Indonesia dan faktor-faktor yang mempengaruhinya

Jurnal Paradigma Ekonomika ◽

10.22437/paradigma.v12i1.3931 ◽

2017 ◽

Vol 12 (1) ◽

pp. 25-30

Author(s):

Pundy Sayoga ◽

Syamsurijal Tan

Keyword(s):

Time Series ◽

Exchange Rate ◽

Exchange Rates ◽

Time Series Data ◽

Series Data ◽

Government Agencies ◽

Short Term ◽

Correction Model ◽

Coffee Price

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PENGARUH INDEKS REGIONAL TERHADAP JAKARTA ISLAMIC INDEX (JII)

ETIKONOMI ◽

10.15408/etk.v11i2.1888 ◽

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

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Economic Turmoil in Islamic Banking Investment

ETIKONOMI ◽

10.15408/etk.v19i2.17206 ◽

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.

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HUBUNGAN ANTARA CONSUMPTION ABROAD (MODA 2) DENGAN COMMERCIAL PRESENCE (MODA 3) DI SEKTOR JASA PARIWISATA INDONESIA

Buletin Ilmiah Litbang Perdagangan ◽

10.30908/bilp.v10i1.31 ◽

2016 ◽

Vol 10 (1) ◽

pp. 45-62

Author(s):

Muhammad Fawaiq

Keyword(s):

Vector Error Correction Model ◽

Short Term ◽

Correction Model ◽

Vector Error Correction ◽

Vector Error ◽

Mode 2 ◽

Variable Mode ◽

Causality Relationship ◽

Mode 3

Penelitian ini bertujuan untuk menganalisis hubungan antara Moda 2 dan Moda 3 dalam perdagangan internasional di sektor jasa pariwisata. Metode penelitian yang digunakan dalam penelitian ini adalah Panel Vector Error Correction Model (VECM) Granger. Data yang digunakan adalah data kedatangan wisatawan mancanegara dan Foreign Direct Investment (FDI) jasa hotel dan restoran tahun 1997-2014 di Bali, Jakarta, Kepulauan Riau dan Sumatera Utara. Daerah-daerah ini berkontribusi sebesar 81,26% dari total kedatangan wisatawan mancanegara di Indonesia dan 68% terhadap total FDI di jasa hotel dan restoran Indonesia. Hasil penelitian menunjukkan bahwa tidak terdapat hubungan kausalitas jangka pendek antara kedua variabel tetapi terdapat hubungan jangka panjang satu arah yaitu variabel Moda 3 dipengaruhi oleh variabel Moda 2. Hasil pengujian pada gabungan antara jangka panjang dan jangka pendek menujukkan bahwa variabel Moda 3 secara kuat dipengaruhi oleh variabel Moda 2. Dengan demikian diketahui bahwa semakin banyak jumlah wisatawan mancanegara yang datang ke Indonesia maka akan mendorong meningkatnya FDI di jasa hotel dan restoran, tetapi meningkatnya FDI di jasa tersebut tidak signifikan berpengaruh terhadap masuknya jumlah wisatawan mancanegara. This paper examines the relationship between Mode 2 and Mode 3 of international trade in tourism sector. The method used is the Panel Vector Error Correction Model (VECM) Granger. The data used in this study were the number of foreign tourist arrivals and the Foreign Direct Investment (FDI) in some hotels and restaurants during 1997-2014 in Bali, Jakarta, Riau Islands and Nort Sumatera.These regions contributed for 81.26% out of the total tourist arrivals in Indonesia and 68% of the total FDI in the services of hotels and restaurants Indonesia. The results using VECM Granger demonstrated that there was no short-term causality relationship between these two variables but they had a long-term causality relationship that the Moda 3 was affected by the variable mode 2. Test results on a combination of long-term and short-term showed that the variable mode 3 was strongly influenced by variable mode 2. Thus, it is known that the more foreign tourists coming to Indonesia, the more FDI we gained from the service of hotels and restaurants, but this increase does not significantly affect the number of foreign tourists.

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Macroeconomic Variables and Foreign Direct Investment Inflows in Turkey

Signifikan Jurnal Ilmu Ekonomi ◽

10.15408/sjie.v8i2.10560 ◽

2019 ◽

Vol 8 (2) ◽

Author(s):

Saliha Meftah ◽

Abdelkader Nassour

Keyword(s):

Foreign Direct Investment ◽

Direct Investment ◽

Short Term ◽

Causality Test ◽

Correction Model ◽

Vector Error Correction ◽

Macroeconomic Variables ◽

Vector Error ◽

Causality Relationship

Foreign direct investment (FDI) is an essential factor in the development of a country. This study aims to examine what factors influence foreign direct investment. By using the vector error correction model, the research shows that there is a long-term causality relationship between exchange rates and inflation with FDI. However, in the short term, there are no variables that affect FDI. Besides, the Granger causality test shows causality in the direction of GDP and FDI, while other variables do not have causality. This research has implications for policymakers to pay attention to macroeconomic variables in increasing the flow of foreign direct investment.

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THE TESTING OF MONEY NEUTRALITY IN ECONOMIC GROWTH OF INDONESIA

Management and Economics Journal (MEC-J) ◽

10.18860/mec-j.v1i1.4575 ◽

2017 ◽

Vol 1 (1) ◽

pp. 12

Author(s):

Muammil Sun’an ◽

Amran Husen

Keyword(s):

Economic Growth ◽

Time Series Data ◽

Output Growth ◽

Broad Sense ◽

Series Data ◽

Analysis Tool ◽

Real Sector ◽

Short Term ◽

Correction Model

This study aim is to test the money neutrality in a narrow sense (M1) and a broad sense (M2) to the growth of output (GDP) in Indonesia, both in short term and long term. This research uses quarterly time series data at 2010 - 2016 periods. The analysis tool used is Error Correction Model (ECM). The results show that short-term money supply (M1 and M2) affect on output growth. However, in the long term, only money circulation in a broad sense (M2) affects on output growth, which also means that money is not neutral because it affects the real sector (GDP). Keywords: M1, M2, Population, Capital, and Economic Growth.

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Effectiveness of Monetary Policy Instruments on Economic Growth in Jordan Using Vector Error Correction Model

International Journal of Economics and Finance ◽

10.5539/ijef.v9n11p194 ◽

2017 ◽

Vol 9 (11) ◽

pp. 194

Author(s):

Rami Obeid ◽

Bassam Awad

Keyword(s):

Economic Growth ◽

Monetary Policy ◽

Policy Instruments ◽

Short Term ◽

Correction Model ◽

Vector Error Correction ◽

Real Gdp ◽

Vector Error ◽

Effect Of Monetary Policy

The global financial crisis emphasized the important role of the prudent monetary policy in supporting economic growth through maintaining price stability. The monetary policy operational framework that was designed in 2008 was updated to include more instruments for managing monetary policy learning from the crisis lessons. Several studies analyzed various dimensions related to economic growth in Jordan such as Abdul-Khaliq, Soufan, and Abu Shihab (2013) and Assaf (2014), there were no studies that investigated the effect of monetary policy on economic growth in Jordan, at least recently, however. The study aims at measuring the effect of monetary policy instruments on the performance of Jordanian economy. Using quarterly data covering the period (2005-2015), an econometric model was examined using Vector Error Correction Model to assess the impact of monetary policy instruments on economic growth. The foremost advantage of VECM is that it has a nice interpretation of long-term and short-term equations. The results showed the existence of positive long-term and short-term effects of monetary policy instruments on the growth of real GDP. The model included three monetary policy instruments besides money supply. They are required reserve ratio, rediscount rate and overnight interbank loan rates as independent variables, and the real GDP growth as a dependent variable. The stationarity of the model time series was addressed. In addition, the stability of the model was tested using stability diagnostics tools. The results showed also an existence of inverse relationship between rediscount rate and economic growth in Jordan over both long and short terms.

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

JURNAL ILMIAH EKONOMI ISLAM ◽

10.29040/jiei.v5i3.635 ◽

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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