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 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.

scholarly journals Pengaruh Variabel Makroekonomi Terhadap Jumlah Penghimpunan Zakat di Indonesia

2020 ◽  
Vol 25 (2) ◽  
pp. 199
Author(s):  
Sheema Haseena Armina
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
Dollar Exchange Rate ◽  
Vector Error Correction ◽  
Vector Error ◽  
Analysis Technique

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.

scholarly journals Pengaruh Kecukupan Modal, Efisiensi dan Likuiditas Terhadap Rentabilitas di Bank Syariah Milik Pemerintah Indonesia

2019 ◽  
Vol 5 (2) ◽  
pp. 158
Author(s):  
I Wayan Sunarya
Keyword(s):  
Structural Analysis ◽  
Time Series Data ◽  
Capital Adequacy ◽  
Series Data ◽  
Islamic Banks ◽  
Financial Health ◽  
Vector Error Correction ◽  
Vector Error ◽  
Determining Factors

<p>The ratio of financial statements to Islamic banks is one of the determining factors in financial health within the bank itself. For this reason, it is necessary to analyze the influence of capital adequacy, efficiency and liquidity on profitability in the Indonesian state-owned Islamic banks from 2009-2017. This study aims to model the influence of capital adequacy (CAR), Efficiency (BOPO) and Liquidity (FDR) on Rentability (ROA), then analyze the model, and provide forecasting and structural analysis of the model. Therefore, the method used in this study is the analysis of Vector Error Correction Model which is applied to time series data from the level of CAR, BOPO, FDR to ROA. Based on the specification, estimation and examination of the model, the VECM (2) model was obtained as the best model. The results of the model analysis say that there is a long-term and short-term causality relationship between the levels of CAR, BOPO, FDR against ROA. Then, based on forecasting and structural analysis, it can be concluded that the results obtained are accurate.</p>

scholarly journals Analysis of Integration of the Indonesian Sharia Stock Index with Developing Countries

2021 ◽  
Vol 9 (2) ◽  
pp. 347
Author(s):  
Budiandru Budiandru ◽  
Deni Nuryadin ◽  
Muhammad Dika Pratama
Keyword(s):  
Developing Countries ◽  
Time Series Data ◽  
Stock Index ◽  
Series Data ◽  
Policy Reforms ◽  
Vector Error Correction ◽  
Trade Relations ◽  
Vector Error ◽  
The Impact

<p><em>Globalization is rapidly causing an integration of economic and financial systems worldwide, resulting in shocks to the Islamic stock index and reducing the benefits of diversification for investors. Therefore, this study analyzes the integration, influence, response, and contribution of shocks to each developing country’s Islamic stock index. Specifically, analyzing the effect of developing country sharia stock index shocks on Indonesia's sharia stock index. The study uses monthly time series data for 2011-2021 with samples from Indonesia, Turkey, Malaysia, Pakistan, Kuwait, and India using the Vector Error Correction Model (VECM) method. The results showed cointegration or a long-term relationship in the developing countries’ sharia stock index. The Malaysian Islamic Stock Index and the Indian Islamic Stock Index influence the Indonesian Islamic Stock Index. Furthermore, the Indonesian Islamic Stock Index stabilized the fastest in response to the Turkish Islamic Stock Index shocks. However, the Malaysian Islamic Stock Index shock contributes the most to the Indonesian Islamic Stock Index. Developing countries could improve the infrastructure of the Islamic stock index and policy reforms. This would minimize the impact of international stock index shocks and accelerate integration. Investors should consider the dominant economic strength, geographical factors, and trade relations in determining portfolio diversification in global economic conditions.</em></p><div class="notranslate" style="all: initial;"> </div>

scholarly journals REAKSI HARGA SAHAM PERUSAHAAN AGRIBISNIS INDEKS LQ-45 TERHADAP PERUBAHAN VARIABEL MAKROEKONOMI

2019 ◽  
Vol 7 (2) ◽  
pp. 129-140
Author(s):  
Alghif Aruni Nur Rukman ◽  
Harianto Harianto ◽  
Suprehatin Suprehatin
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Negative Effect ◽  
Stock Price Reaction

This study aims to analyze the effect of changes in macroeconomic variables, namely exchange rates, interest rates, and inflation on stock prices of agribusiness companies on the LQ-45 index. This study used monthly time series data from 2008-2018 and analyzed by the VECM method. The results showed that the stock price reaction of eight agribusiness companies in the LQ-45 index varies with changes in macroeconomic variables both in the short and long term. In the short term, changes in exchange rates had a positive and significant effect on one company stock prices, while changes in inflation and interest rates had a negative and significant effect on four companies and one company respectively. In the long term, the results showed that changes in exchange rates had a positive and significant effect on two companies’ stock prices, while it had a negative and significant effect on five companies. The result also showed that changes in inflation had a positive and negative effect on one company and six companies respectively in the long term. Also besides changes in interest rates had a positive and negative effect on two companies’ stock prices respectively.

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

scholarly journals Government Expenditure and Economic Growth in South Africa: A Vector Error Correction Modelling and Granger Causality Test

2017 ◽  
Vol 9 (4) ◽  
pp. 164
Author(s):  
Kagiso Molefe ◽  
Ireen Choga
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Error Correction ◽  
Granger Causality ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Relationship

Previous studies generally find mixed empirical evidence on the relationship between government spending and economic growth. This study re-examine the relationship between government expenditure and economic growth in South Africa for the period of 1990 to 2015 using the Vector Error Correction Model and Granger Causality techniques. The time series data included in the model were gross domestic Product (GDP), government expenditure, national savings, government debt and consumer price index or inflation. Results obtained from the analysis showed a negative long-run relationship between government expenditure and economic growth in South Africa. Furthermore, the estimate of the speed of adjustment coefficient found in this study has revealed that 49 per cent of the variation in GDP from its equilibrium level is corrected within of a year. Furthermore, the study discovered that the causality relationship run from economic growth to government expenditure. This implied that the Wagner’s law is applicable to South Africa since government expenditure is an effect rather than a cause of economic growth. The results presented in this study are similar to those in the literature and are also sustained by preceding studies.

scholarly journals Savings Mobilization and Financial Development during the Multicurrency Regime Period in Zimbabwe

2017 ◽  
Vol 9 (3(J)) ◽  
pp. 152-162
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Financial Development ◽  
Time Series Data ◽  
Empirical Literature ◽  
Series Data ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
The Subject ◽  
The Relationship

This paper seeks to investigate the relationship between savings and financial development in Zimbabwe using both autoregressive distributive lag (ARDL) and vector error correction model (VECM) approaches for comparison purposes with monthly time series data from January 2009 to August 2015. Four distinct hypotheses emerged from the literature and these are the savings-led financial development, financial development-led savings, feedback effect and the insignificant/no relationship hypothesis. The existence of diverging and contradicting views in empirical literature on the subject matter is evidence that the linkage between savings and financial development is still far from being concluded. Both F-Bounds and Johansen co-integration tests observed that there is a long run relationship between savings and financial development in Zimbabwe. What is even more unique about this study is that both ARDL and VECM noted the presence of a bi-directional causality relationship between savings and financial development in the short and long run in Zimbabwe. The implication of this study is that in order to increase economic growth, Zimbabwe authorities should increase savings mobilization efforts in order to boost financial development, which in turn attracts more savings inflow into the formal financial system.

scholarly journals The Effect of Inflation on Financial Development Indicators in Iran (2000–2015)

2017 ◽  
Vol 12 (2) ◽  
pp. 53-62 ◽  
Author(s):  
Mahyar Hami
Keyword(s):  
Financial Development ◽  
Time Series Data ◽  
Banking System ◽  
Series Data ◽  
Vector Error Correction ◽  
Development Indicators ◽  
Vector Error ◽  
Equilibrium Relationship ◽  
Proposed Model ◽  
Integration Test

Abstract Inflation and financial development are among the factors that influence economic growth and the interaction between them is a major issue in developing countries. The aim of this paper is to investigate the effect of inflation on financial development indicators in Iran using seasonal data over 2000-2015. To achieve the research objectives, time series data were collected from World Bank and seasonal inflation rate, with 5 financial development indicators were used to measure the research variables. Then I applied Johansen Co-integration Test and Vector Error Correction Model to estimate the proposed model. The results show that inflation has a negatively significant effect on financial depth and also positively significant effect on the ratio of total deposits in banking system to nominal GDP in Iran during the observation period. Also the existence of an equilibrium relationship between inflation and other 3 indicators of Iran`s financial development used in this study was rejected.

scholarly journals Deteminant factors to improve Indonesian cocoa performance

2021 ◽  
Vol 892 (1) ◽  
pp. 012073
Author(s):  
A Prasetyo ◽  
Suswadi ◽  
A F Aziez
Keyword(s):  
Exchange Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Export Performance ◽  
Series Data ◽  
Causality Test ◽  
Vector Error Correction ◽  
Multilateral Cooperation ◽  
Vector Error ◽  
Cocoa Production

Abstract Encouraging the growth of Indonesia’s agricultural sector is important for improving the export performance of Indonesia’s leading commodities. The purpose of the study was to determine the effect of the IDR exchange rate and the shock of the determinants of cocoa exports on the growth of Indonesian cocoa exports. The research was conducted using time series data from 1969-2017. This study uses the Vector Error Correction Model (VECM). The analysis showed that the data is stationary at the first difference. The causality test shows that cocoa production, IDR exchange rate, GDP affect the growth of Indonesian cocoa exports, but world cocoa prices have no effect on cocoa exports. The results of the impulse response factor (IRF) analysis show that the response of cocoa exports to changes in the exchange rate is more volatile when compared to the response of production, GDP, and world cocoa prices to Indonesian cocoa exports. Analysis of variance decomposition shows that the contribution of the IDR exchange rate to export growth is greater than the contribution of world cocoa prices, GDP, and production at the beginning of exports, however over time the influence of the IDR exchange rate will decrease and it is the number of production factors that will affect Indonesia’s cocoa exports. Indonesia needs to increase production by maintaining the quality of cocoa according to export needs considering the demand for cocoa that will continue to increase. Bilateral or multilateral cooperation is needed to strengthen cocoa export cooperation with major importing.

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