scholarly journals An Efficiency Analysis of Conventional and Islamic Banking in Pakistan

2021 ◽  
Vol 4 (2) ◽  
pp. 469-482
Author(s):  
Hina Ali ◽  
Hafiza Hina Saleem ◽  
Kalsoom Paracha ◽  
Sabiha Abdul Quddus
Keyword(s):  
Banking Sector ◽  
Time Series Data ◽  
Efficiency Analysis ◽  
Series Data ◽  
Islamic Banking ◽  
Gdp Growth ◽  
Estimation Model ◽  
Gdp Growth Rate ◽  
Current Estimation ◽  
Total Investment

The current estimation is involved to regulate the efficiency analysis between Islamic banking and conventional banking by reference to GDP growth, total reserve as dependent variables, and total assets, total deposits, total investment, and total liabilities as autonomous variables. Time series data is collected from 1990 to 2019, Islamic banking has increased facts and lending in Pakistan. Most people believe in Islamic banking philosophy as it is Islamic shariah based with full reserves, total assets, total deposits, total investment, and total liabilities, Considered the descriptive variables independent variable in which the coefficient of the total assets, the total deposit had a highly significant impact on GDP growth rate. Pakistan had a dynamic role regarding the banking sector when assets of the banking sector increases and GDP Growth also increased in Pakistan. Autoregressive lagged estimation model and economic effectiveness on the supply side and Islamic banking relationship in Pakistan, GDP growth is positive and significant.

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 Analysis of the Turkish Islamic banking sector using CAMEL and Similarity Analysis methods

2020 ◽  
Vol 70 (2) ◽  
pp. 275-296
Author(s):  
József Varga ◽  
Gyöngyi Bánkuti ◽  
Rita Kovács-Szamosi
Keyword(s):  
Time Series ◽  
Banking Sector ◽  
Time Series Data ◽  
Banking System ◽  
Series Data ◽  
Similarity Analysis ◽  
Islamic Banking ◽  
Analytic Hierarchy ◽  
Policy Makers ◽  
Hierarchy Process

AbstractRating the reliability of banks has always been an important practical problem for businesses and the economic policy makers. The best way to do this is the CAMEL analysis. The aim of this paper was to create a bank-rating indicator from the five fields of the CAMEL analysis using two-two indicators for each field for the Turkish Islamic banking system. According to the results of the analysis, we could rank the Turkish Islamic banks. Beside the widespread use of the CAMEL analysis, we applied the Similarity Analysis as a new method. We compared the results from the two methods and came to the conclusion that the CAMEL analysis does not adequately provide a fairly shaded picture about the banks. The Component-based Object Comparison for Objectivity (COCO) method gave us the yearly results in time series form. The comparison of the time series data leads to the problem of deciding about what is more important for us – average, standard deviation or the slope. For handling this problem, we used Analytic Hierarchy Process, which gave weights to these indicators.

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 Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis

2021 ◽  
Vol 18 (5) ◽  
pp. 2219
Author(s):  
Matthias Klumpp ◽  
Dominic Loske
Keyword(s):  
Data Envelopment Analysis ◽  
Time Series Data ◽  
Malmquist Index ◽  
Developed Countries ◽  
Efficiency Analysis ◽  
Humanitarian Logistics ◽  
Series Data ◽  
Data Envelopment ◽  
Least Developed Countries ◽  
Window Analysis

Although resources are scarce and outputs incorporate the potential to save human lives, efficiency measurement endeavors with data envelopment analysis (DEA) methods are not yet commonplace in the research and practice of non-government organizations (NGO) and states involved in humanitarian logistics. We present a boot-strapped DEA window analysis and Malmquist index application as a methodological state of the art for a multi-input and multi-output efficiency analysis and discuss specific adaptions to typical core challenges in humanitarian logistics. A characteristic feature of humanitarian operations is the fact that a multitude of organizations are involved on at least two levels, national and supra-national, as well as in two sectors, private NGO and government agencies. This is modeled and implemented in an international empirical analysis: First, a comprehensive dataset from the 34 least developed countries in Africa from 2002 to 2015 is applied for the first time in such a DEA Malmquist index efficiency analysis setting regarding the national state actor level. Second, an analysis of different sections in a Rohingya refugee camp in Bangladesh is analyzed based on a bootstrapped DEA with window analysis application for 2017, 2018, and 2019 quarter data regarding the private NGO level of operations in humanitarian logistics.

scholarly journals BANKING SECTOR LIBERALIZATION AND ECONOMIC GROWTH: CASE STUDY OF PAKISTAN

2016 ◽  
Vol 17 (1) ◽  
pp. 125-139 ◽  
Author(s):  
Najia SAQIB
Keyword(s):  
Economic Growth ◽  
Banking Sector ◽  
Time Series Data ◽  
Series Data ◽  
Omitted Variables ◽  
Financial Systems ◽  
Long Run ◽  
Banking Sector Development ◽  
The Impact

Economic theory suggests that sound and efficient financial systems channel capitals to its most productive uses are beneficial for economic growth. Sound and efficient financial systems are especially important for sustaining growth in developing countries. This paper examines the impact of banking sector liberalization on long-term economic growth in Pakistan by using a time series data for the period 1971–2011. The results show that there exist a significant positive long run relationship between banking sector development and economic growth in the country. The sensitivity analysis also shows that the relationship remain positive and significant no matter what combination of the omitted variables are used in the basic model. Thus, our findings support the core idea that banking sector development stimulates long term economic growth in a country.

scholarly journals Influence of Bank Credits on the Nigerian Economy

2019 ◽  
Vol 5 (1) ◽  
pp. 1-9
Author(s):  
Idachaba Odekina Innocent ◽  
Olukotun G. Ademola ◽  
Elam Wunako Glory
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Banking Sector ◽  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Long Run ◽  
Integration Test ◽  
Lending Rate ◽  
Negative Effect

The aim of this study is to examine the influence of bank credits on the Nigerian economy using time series data covering the period from 1980 to 2017.Gross domestic product was used as proxy for the economy while credits to the private sector, public sector and prime lending rate were used as proxies of Banks credits. Unit root test was used to test stationary which reveals that all the variables were stationary at first difference. The regression analysis result shows that credit to the private sector have positive effect on Nigerian economy while credit to public sector and prime lending rate have negative effect on the Nigerian economy. The result of co-integration test presented reveals that there exist among the variables co-integration which means long-run analysis. It is recommended that, policy makers should focus attention on long-run policies to promote economic growth such as development of modern banking sector, efficient financial market, infrastructures.

scholarly journals Growth Governance Nexus: A Case of Pakistan

2013 ◽  
Vol 5 (8) ◽  
pp. 562-572
Author(s):  
Rabia Nazir ◽  
Mumtaz Anwar .
Keyword(s):  
Time Series Data ◽  
Good Governance ◽  
Developing Economies ◽  
Series Data ◽  
Gdp Growth ◽  
Development Agenda ◽  
Tremendous Importance ◽  
Free Media ◽  
Political Economic

Good governance has gained tremendous importance in the development agenda of developing economies since 1990s but growth literature gives mixed picture about the role of governance and institutional factors in explaining GDP growth. The present study is an attempt to provide empirical evidence on interlinks between governance and GDP growth. ADF and Johansen co-integration tests are applied for econometric testing of the hypothesis by using time series data from 1984 to 2010. All the variables turned out to be significant with ICRG (proxy used for governance) having positive and significant impact on GDP growth of Pakistan. Results of the study have shown that governance plays major role in determining GDP growth pattern of Pakistan. A complete reform of the political, economic system, judiciary, bureaucracy and a free media are recommended to improve governance and to achieve sustained GDP growth in Pakistan consequently.

scholarly journals The Effect of Financing on Credit Risk: Empirically on Indonesian Islamic Banking

2021 ◽  
Vol 5 (1) ◽  
pp. 503
Author(s):  
Fitri Zaelina ◽  
Dwi Nastiti
Keyword(s):  
Time Series Data ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Series Data ◽  
Islamic Banking ◽  
Islamic Banks ◽  
The Public ◽  
Analysis Techniques ◽  
Independent Variables ◽  
Financing Risk

Islamic banking has an important role in the economy, especially in moving the real sector. Islamic banking provides funding to the public in the form of financing. The financing provided cannot be separated from various risks that can threaten the health of the bank, one of which is financing risk. For that, the purpose of this study is to analyze the effect of financing on financing risk in Islamic banks for the period 2015 to 2020. The method used in this study is quantitative with multiple linear regression analysis techniques. This study uses time-series data and the variables in this study are mudharabah, musyarakah, murabahah, ijarah financing, and total assets as independent variables and NPF as a dependent variable. The results of the study concluded that total assets had a negative and significant effect on NPF and murabahah financing had a positive and significant effect on NPF. Meanwhile, mudharabah, musyarakah, and ijarah financing has no significant effect on NPF.

scholarly journals Banking Sector Consolidation: Possible Effects for Sectoral Credit Allocation and Economic Growth in Nigeria

2017 ◽  
Vol 3 (01) ◽  
Author(s):  
Alwell Nteegah
Keyword(s):  
Economic Growth ◽  
Banking Sector ◽  
Oil And Gas ◽  
Time Series Data ◽  
Manufacturing Sector ◽  
Percent Level ◽  
Job Creation ◽  
Series Data ◽  
Credit Allocation ◽  
Banking Credit

This study investigated possible effects of banking sector consolidation- credit allocation to selected sectors on the growth of Nigerian economy. utilizing time series data on growth rate of GDP, banking sector credit distribution to the agriculture, manufacturing, oil and gas/mining, commercial (export financing) sectors and bank size (number of Deposit money bank branches) for the period 1981 - 2015 and employing Vector Error Correction Model (VECM), the results indicate that only banking sector credit allocation to the manufacturing sector is positive and significant at 5 percent level. Banking credit to agriculture, oil & gas/mining, commercial and bank size were all insignificant at 5 percent level. This result revealed that funds allocated to the manufacturing sector spurred economic growth in Nigeria during the duration of this investigation. Other finding of study shows that the manufacturing sector has higher propensity for increasing investment, job creation and value addition hence attracts funds from the banks than other sectors. Based on these findings, the paper suggested creation of enabling environment and enactments of policies that will enhance higher credit allocation to manufacturing sector in particular and the real sector in general in order to spur investment, job creation and stimulate economic growth in Nigeria.

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